data engineer

data scientist

senior data scientist

senior data engineer

analytics engineer

data science analyst

Ofgem

<div>
 
 
 About the job
 
 
 
 
 
 
 Successful candidates may be based in any of our office locations &ndash; Cardiff, Glasgow or London. We especially welcome applicants from Cardiff and Glasgow. (20% hybrid, 1 day per week)
 
 
 
 
 
 
 
 
 
 Job summary
 
 
 
 
 
 
 Data science at Ofgem is not abstract research. It helps us understand energy markets, monitor supplier performance, assess risks to consumers, and support decisions that affect households and businesses across Great Britain. As the energy system becomes more complex, Ofgem needs data scientists who can turn complex, imperfect and fast-moving data into insight, evidence and practical tools that improve regulation.
 
 
 Ofgem is on an ambitious transformation journey. Within the Digital, Data and Security Services (DDSS) directorate, we are building a stronger Data &amp; AI capability for Ofgem: improving how we use data, developing reusable analytical products, and applying data science and AI safely to priority regulatory and operational challenges.
 
 
 
 
 
 As a
 
 Data Scientist
 
 , you will play a key role in delivering analytical solutions that address real-world challenges. You will apply a range of data science techniques to develop models, generate insights and support data-driven decision-making across the organisation. The role is not only about building models; it is about making sure analytical work is robust, explainable and usable by the people who need to make decisions.
 
 
 This is a hands-on analytical role within a fast-paced and evolving environment. You will combine technical expertise with curiosity, sound judgement and strong communication skills, ensuring that insights are accessible, actionable and aligned with business needs.
 
 
 
 
 
 
 Job description
 
 
 
 
 
 
 
 You will be responsible for:
 
 
 
 
 
 <ul>
 <li>
 Designing, developing and delivering data science solutions that provide clear evidence, support decisions and can be reused or maintained over time.
 </li>
 <li>
 Applying statistical, machine learning and analytical techniques where they are the right tools for the problem, and explaining the strengths, limitations and assumptions of the approach.
 </li>
 <li>
 Working with incomplete, complex or inconsistent data, and applying appropriate quality checks to produce reliable, reproducible and well-documented outputs.
 </li>
 <li>
 Working with policy, operational and technical colleagues to understand the decision or problem, test whether data science is the right approach, and translate needs into practical analytical solutions.
 </li>
 <li>
 Communicating findings clearly to both technical and non-technical audiences through visualisations, presentations and reporting.
 </li>
 <li>
 Collaborating with data engineers, analysts and delivery teams to ensure solutions are scalable, maintainable and aligned with organisational standards.
 </li>
 <li>
 Applying responsible AI, ethical, privacy and security considerations throughout the data science lifecycle, including model explainability, bias, proportionality and appropriate governance.
 </li>
 <li>
 Using modern tools and platforms, including Python and Azure-based technologies, to develop, test, document and, where appropriate, deploy analytical products.
 </li>
 <li>
 Identifying and implementing improvements to tools, processes and methods, contributing to continuous improvement in data science capability.
 </li>
 </ul>
 
 
 
 
 
 We are looking for:
 
 
 
 
 
 
 We are looking for someone who combines strong technical capability with curiosity, sound judgement and a practical delivery mindset. You will be comfortable working with ambiguity, engaging with non-technical colleagues, and turning complex data into insight that can be trusted and acted on.
 
 
 
 
 
 You may come from a data science, analytics or quantitative background, but you will demonstrate:
 
 <ul>
 <li>
 Experience developing and delivering data science or advanced analytical solutions that have informed decisions, improved services or supported measurable outcomes.
 </li>
 <li>
 Strong knowledge of statistical methods and machine learning techniques, with the judgement to select proportionate methods and explain their assumptions, limitations and risks.
 </li>
 <li>
 Practical experience using Python or similar languages to build reproducible analysis, models or data science workflows, ideally using cloud-based data platforms such as Azure.
 </li>
 <li>
 Ability to work with complex, messy or incomplete datasets, including data preparation, feature engineering, quality assessment, modelling and validation.
 </li>
 <li>
 Strong communication skills, with the ability to explain technical work clearly to non-specialists and provide advice that supports confident decision-making.
 </li>
 <li>
 Understanding of responsible AI, data ethics, privacy, security and governance considerations in applied data science.
 </li>
 <li>
 Experience working with analysts, engineers, product or delivery colleagues, or subject matter experts to turn analytical ideas into usable products or services.
 </li>
 <li>
 Experience working in agile environments, and familiarity with user-centred design approaches, would be beneficial.
 </li>
 </ul>
 
 This is an opportunity to help shape how a major UK regulator uses data science and AI. Your work will support better decisions, stronger regulation and improved outcomes for energy consumers, while helping build a modern, responsible and delivery-focused Data &amp; AI capability inside Ofgem.
 
 
 
 
 
 
 Person specification
 
 
 
 
 Essential Criteria
 
 
 <ul>
 <li>
 Demonstrated experience in developing data science solutions that enable organisations to achieve their goals
 
 (Lead Criteria)
 
 .
 </li>
 <li>
 Demonstrated experience applying AI and data science tools and techniques, particularly those used at OFGEM
 
 (Lead Criteria)
 
 .
 </li>
 <li>
 Ability to collaborate with data engineers and scientists, and delivery teams to source, clean and prepare data appropriately.
 </li>
 <li>
 Ability to write programs and scripts, optimising code and testing products.
 </li>
 <li>
 Evidence of commitment to develop your own skill set.
 </li>
 </ul>
 
 
 Desirable Criteria
 
 
 <ul>
 <li>
 Experience of delivering in an agile, iterative manner that delivers value early.
 </li>
 <li>
 Experience of understanding the role of user research and establishing user needs.
 </li>
 </ul>
 
 
 
 
 
 Behaviours
 
 
 
 We'll assess you against these behaviours during the selection process:
 
 <ul>
 <li>
 Changing and Improving
 </li>
 <li>
 Communicating and Influencing
 </li>
 <li>
 Delivering at Pace
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 
 Alongside your salary of &pound;35,232, OFGEM contributes &pound;10,206 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window).
 
 
 Ofgem can offer you a comprehensive and competitive benefits package which includes; 30 days annual leave after 2 years; Excellent training and development opportunities; The opportunity to join the generous Civil Service pension which also includes a valuable range of benefits; hybrid working (currently 1 day a week in the office but this is kept under review), flexible working hours and family friendly policies. Plus lots of other benefits including clean and bright offices based centrally, engaged networks and teams and an opportunity to contribute to our ambitious and important targets of establishing a Net Zero energy system by 2050. This exciting blend of professional challenge and personal reward identifies career opportunities at Ofgem as something to get excited about.
 
 
 Things you need to know
 
 
 
 
 
 
 Artificial intelligence
 
 
 
 Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use.
 
 
 
 
 
 
 Selection process details
 
 
 
 This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours and Experience.
 
 
 When you press the &lsquo;Apply now&rsquo; button, you will be asked to complete personal details (not seen by the sift panel), your career history and qualifications.
 
 
 You will then be asked to provide a 1250 word &lsquo;personal statement&rsquo; evidencing how you meet the essential and desirable skills and capabilities listed in the role profile. Please ensure you demonstrate clearly, within your supporting statement, how you meet each of the criteria listed in the role profile. In the event of receiving a large number of applications, an initial sift may take place on just the
 
 lead criteria
 
 indicated in the essential criteria.
 
 
 
 The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found by
 
 [
 
 https://www.cifas.org.uk/fpn
 
 ].
 
 
 
 
 
 At Ofgem, we expect our staff to carry out their roles with honesty, fairness and openness. They should follow the Civil Service code and be free from any influence or bias. We are committed to making sure interests are recognised, declared and managed appropriately so that we can fulfil our duties as an energy regulator. Our Conflicts of Interest policy outlines the types of interests Ofgem staff must declare before onboarding, and the rules they must follow throughout employment so that we can clearly demonstrate that our decisions are not influenced by private interests.
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Feedback will only be provided if you attend an interview or assessment.
 </li>
 </ul>
 
 
</div>

Data Scientist

<div><div><div>Job ID: R0055886</div>
</div><div><div><div><div><div>Location</div>
<div>London, Middlesex</div>
</div></div></div><div></div><div><div><div><div>Hours/week</div>
<div>37.5 hrs/week</div>
</div></div></div><div></div><div><div><div><div>Payrate range</div>
<div>Unknown</div>
</div></div></div></div><div><div>We don&rsquo;t just believe in better. We make it happen.
Better content. Better products. And better careers. 
Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 
Role/Team overview
Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, we are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extract value from our data assets and maximise customer value. 
What you&rsquo;ll do:
<ul><li>Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms: work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience
</li></ul><ul><li>Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems.
</li></ul><ul><li>Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions
</li></ul><ul><li>Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky
</li></ul><ul><li>Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches.
</li></ul><ul><li>Responsible for identifying the best analytical techniques, developing the solution, creating a framework for testing the solution and measuring the incremental value to the business from the solution 
</li></ul>What you&rsquo;ll bring:
<ul><li>Strong track record delivering end‑to‑end data science solutions (preferably B2C) in cloud environment
</li></ul><ul><li>Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation
</li></ul><ul><li>Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholders are essential
</li></ul><ul><li>Commercial knowledge and applications of data science to drive commercial value is a must &ndash; everything we do drives value into the business
</li></ul><ul><li>Hands‑on experience with Generative AI and LLMs, including prompt engineering, fine‑tuning, evaluation, and production deployment
</li></ul><ul><li>Strong command of modern data stacks, including Python, SQL, Spark, BigQuery, and Snowflake
</li></ul><ul><li>Clear communication skills, able to explain complex AI concepts, including LLMs and agentic systems, to both technical and non‑technical audiences 
</li></ul>Benefits and perks 
There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here&rsquo;s a taster:
<ul><li>Sky Q, for the TV you love all in one place
</li></ul><ul><li>The magic of Sky Glass at an exclusive rate
</li></ul><ul><li>A generous pension package
</li></ul><ul><li>Private healthcare
</li></ul><ul><li>Discounted mobile and broadband
</li></ul><ul><li>A wide range of Sky VIP rewards and experiences 
</li></ul>How you&rsquo;ll work
We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. 
Your office space: 
Osterley:
Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There&rsquo;s also plenty of bike shelters and showers.
On campus, you&rsquo;ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. 
We'd love to hear from you
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It&rsquo;s a place where you can explore what if, how far, and what next. 
But better doesn&rsquo;t stop at what we do, it&rsquo;s how we do it, too. We embrace each other&rsquo;s differences. We support our community and contribute to a sustainable future for our business and the planet.
If you believe in better, we&rsquo;ll back you all the way. 
Just so you know: if your application is successful, we&rsquo;ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. 
Who we are
We&rsquo;re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you&rsquo;ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. 
We&rsquo;re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. 
Just so you know: if your application is successful, we&rsquo;ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. 
To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. 
To find out more about working with us, search #LifeAtSky on social media.</div></div></div>

Principal Data Scientist

Stripe

<div>
 Who we are
 
 
 
 About Stripe
 
 
 
 Stripe is a financial infrastructure platform for businesses. Millions of companies&mdash;from the world&rsquo;s largest enterprises to the most ambitious startups&mdash;use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone&rsquo;s reach while doing the most important work of your career.
 
 
 
 About The Team
 
 
 
 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
 
 
 What you&rsquo;ll do
 
 
 We&rsquo;re looking for a Data Scientist to partner with our Local Payment Methods (LPM) engineering and product teams. You&rsquo;ll play a key role in understanding, growing, and optimising our LPM business, leveraging data to make strategic business decisions. As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.
 
 
 Who you are
 
 
 We&rsquo;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 PhD, MSc or MA with 2 years, or BS or BA with 3 years of data science or quantitative modeling experience
 </li>
 <li>
 Proficiency in SQL and a computing language such as Python or R
 </li>
 <li>
 Experience in working with cross-functional teams to deliver results
 </li>
 <li>
 Ability to communicate results clearly and a focus on driving impact
 </li>
 <li>
 A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
 </li>
 <li>
 Strong business acumen and experience in synthesizing complex analyses into actionable recommendations
 </li>
 <li>
 Proficiency with AI tools to accelerate model development, analysis, and coding
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation
 </li>
 <li>
 Experience deploying models in production and adjusting model thresholds to improve performance
 </li>
 <li>
 Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
 </li>
 <li>
 A builder's mindset with a willingness to question assumptions and conventional wisdom
 </li>
 <li>
 Experience with distributed tools such as Spark, Hadoop, etc.
 </li>
 <li>
 A PhD or MSc in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
 
 
 
 </li>
 </ul>
 In-office expectations
 
 
 Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
 
 
 Pay and benefits
 
 
 The annual salary range for this role in the primary location is &euro;77,200 - &euro;115,800. This range may change if you are hired in another location. For sales roles, the range provided is the role&rsquo;s On Target Earnings (&ldquo;OTE&rdquo;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate&rsquo;s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.
 
 
 Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant&rsquo;s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.
</div>

Data Scientist, Payments

BBCSTUDIOS

Job Description .buttontext1967aeac1bf131b4 a{ border: 1px solid transparent; } .buttontext1967aeac1bf131b4 a: focus{ border: 1px dashed #757575 !important; outline: none !important; }
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 Job Requisition ID: 41299
 Job Closing Date: 3rd July 2026
 London, GBR, W12 7FA
 
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 JOB DETAILS
 
JOB BAND: D
 CONTRACT TYPE: Permanent
 LOCATION: London TVC - 2 days a week in office
 DEPARTMENT: Data Insights
 PROPOSED SALARY RANGE: £60,000 - £70,000 on relevant skills, knowledge and experience. Plus London Weighting Allowance of £5,441.The expected salary range for this role reflects internal benchmarking and external market insights.
 
We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application – though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage.
 
WE ARE BBC STUDIOS
 
A globally renowned media company borne of the BBC. We make and distribute the world’s most sought-after TV, audio and digital content.
 
Our ambition is to be the home of the most powerful, entertaining, and inspiring stories for people all around the world.
 
PURPOSE OF THE ROLE
 
The way BBC Studios operates has changed significantly over the last 5 years. It has moved into new areas of business and alongside that has developed the data capabilities required to support a modern organisation. We have built a successful data science team and are looking for a senior data scientist to join us, working across the different BBC Studios’ lines of business.
 
WHY JOIN THE TEAM
 
We have built a successful data science team and are looking for a Senior Data Scientist. You will be working across all of BBC Studios’ lines of business to understand where data science can make a difference. As data remains a developing capability within BBC Studios, this role will be central to driving data education and supporting the organisation’s cultural evolution. This role will play a critical role in the education and culture change we are bringing to the business and act as a champion for the Data Science team, promoting its work and building understanding of the value data driven insights can bring to BBC Studio.
 
YOUR KEY RESPONSIBILITIES AND IMPACT: 
Work on a range of projects supporting all lines of business. For commercial News, it might be automated decision-making to chose between subscription prompts and adverts, or for TV commissioning it could be developing synthetic audiences as an alternative to traditional surveys.
 Develop Studios’ capabilities to power data driven decision making, including automated tagging and other metadata focussed solutions to enhace discoverability and recommendations.
 Use your domain knowledge to select the appropriate algorithmic approach and data sources to solve a given problem.
 Discuss and implement the solution, from proof of concept to production.
 Collaborate closely with stakeholders across the business, clearly communicating insights, impact, and recommendations.
 Keep up to date with latest development in generative AI and apply where appropriate.
 
YOUR SKILLS AND EXPERIENCE
 
ESSENTIAL CRITERIA: 
Experience in a data science or closely aligned role.
 A degree in mathematics, statistics, computer science or related field.
 A hands-on approach to problem solving, from understanding the impact down to mathematical details.
 Good programming skills with Python.
 Good working knowledge of SQL and experience querying large datasets.
 Experience building machine learning models and deploying them into production.
 Experience interacting with stakeholders and translating business problems into practical solutions.
 
If you can bring some of these skills and experience, along with transferable strengths, we’d love to hear from you and encourage you to apply
 
NEXT STEPS
 
We appreciate your interest in this position and understand how important this opportunity is to you. Due to the high volume of interest we may need to close the application period earlier than anticipated. This step is necessary to ensure we can provide a high level of attention and service to all applicants. Thank you for your understanding.
 
#BBCSTUDIOS
 
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 Disclaimer
 
This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved.
 
Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory.
 
Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer.
 
We are unable to accept applications via CV and only applications made online will be considered. Please click on the APPLY NOW button to proceed with your application.
 
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 Redeployment
 
The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk.
 
Information at a Glance .buttontextd5e73a7f5816cb58 a{ border: 1px solid transparent; } .buttontextd5e73a7f5816cb58 a: focus{ border: 1px dashed #757575 !important; outline: none !important; }
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 This is your BBC
 
At the BBC you can create and innovate in an inclusive environment while contributing to some of the world’s best loved content, and the BBC’s mission to inform, educate and entertain.
 
Find out more about BBC Studios
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 Life at BBC Studios
 
<ul>
<li>A flexible 35-hour working week with 26 days annual leave (plus bank holidays) and the option to buy an extra five days.</li>
<li>Defined pension (up to 10% employer contributions).</li>
<li>Caring and parenting support, 24/7 remote GP access, life assurance and accident benefit.</li>
<li>BBC Studios is a world leader in operating sustainably both on and off screen. Find out more about BBC Group’s science-based Net Zero targets here .</li>
<li>Career development in a values-led purpose-driven culture.</li>
</ul>
Benefits may vary if you are joining on an FTC basis.
 
Learn more about life at the BBC and our values in our candidate pack.
 
Candidate pack
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 You belong
 
We have a working environment where we value and respect every individual's unique contribution, so all our employees feel that they can belong, thrive and achieve their full potential.
 
We want to attract the broadest range of talented people to join us. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity.
 
We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief.
 
Find out more about diversity, inclusion and belonging in our strategy below.
 
Diversity, inclusion & belonging strategy
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 Disability confident
 
We are a disability confident employer. If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, please contact us via email and we’d be happy to discuss: reasonable.adjustments@bbc.co.uk
 
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Senior Data Scientist

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Summary:
 
 
 
 As PayPal continues its mission to revolutionize commerce, we are seeking a Senior Data Scientist to join our Consumer Portfolio Growth team. In this role, you will help drive profitable growth across our consumer product portfolio by transforming complex data into actionable insights that inform strategic decisions and deliver measurable business impact.
 
 
 This is an opportunity for a business-oriented data scientist who combines strong technical expertise with sound business judgment. You will partner closely with cross-functional stakeholders, apply advanced analytical methods to challenging business problems, and help shape decisions that drive growth, engagement, and long-term customer value. If this introduction sparks your interest, keep reading &mdash; the best is yet to come!
 
 
 
 Job Description:
 
 
 
 
 Essential Responsibilities:
 
 
 
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 Lead the development and implementation of advanced data science models.
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 Collaborate with stakeholders to understand requirements.
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 Drive best practices in data science.
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 Ensure data quality and integrity in all processes.
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 Mentor and guide junior data scientists.
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 Stay updated with the latest trends in data science.
 
 
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 Minimum Qualifications:
 
 
 
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 3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 
 
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 Additional Responsibilities &amp; Preferred Qualifications:
 
 
 
 
 Meet Our Team
 
 
 
 Our Consumer Portfolio Growth team sits at the intersection of data science and commercial strategy. We focus on understanding how consumers engage across PayPal&rsquo;s full product suite &mdash; spanning PayPal P2P, Checkout, Credit, Debit, and more &mdash; and identifying where the greatest untapped growth opportunities lie.
 
 
 The team drives business outcomes through advanced analytics, customer segmentation, funnel analysis, experimentation, and causal inference. We are a close-knit group of intellectually curious, technically rigorous data scientists who take pride in delivering clear narratives to senior leadership and measurable business impact.
 
 
 
 Your Way to Impact
 
 
 
 In this role, you will help drive profitable growth across PayPal&rsquo;s consumer product portfolio by transforming data into actionable insights that influence strategic decisions. Your work will directly shape business performance by delivering rigorous analyses, scalable data science solutions, and recommendations that help teams make better decisions and create lasting value for our customers.
 
 
 
 Your Day to Day
 
 
 
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 Lead deep-dive analyses that uncover the drivers behind business performance, diagnose unexpected trends, challenge assumptions, and identify new growth opportunities.
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 Apply sophisticated quantitative methods&mdash;including machine learning, causal inference, synthetic controls, difference-in-differences, and propensity score matching&mdash;to answer complex business questions with statistical rigor.
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 Build and evolve customer segmentation frameworks that reveal behaviorally distinct consumer cohorts and translate those insights into targeted growth strategies.
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 Analyze how consumer behavior evolves across PayPal&rsquo;s product ecosystem, quantifying the impact of cross-product engagement on activation, retention, monetization, and customer value.
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 Monitor key consumer funnel metrics across products, customer segments, and geographies, identifying trends, risks, and growth opportunities.
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 Develop business cases and opportunity-sizing analyses to support growth initiatives and strategic investments.
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 Lead analytical projects from problem definition through recommendation, ensuring insights are actionable, timely, and aligned with business priorities.
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 Partner closely with Product, Commercial, Marketing, and Finance teams to inform decision-making and influence strategy.
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 Serve as a trusted analytical partner to stakeholders by translating complex analyses into clear, actionable recommendations.
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 Leverage AI-assisted tools and modern analytical workflows&mdash;including LLM-based technologies such as Claude, Claude Code, ChatGPT, or similar platforms&mdash;to accelerate analysis, automate recurring workflows, and scale insight delivery.
 
 
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 What You Need To Succeed
 
 
 The ideal candidate combines strong analytical and modelling capabilities with hands-on expertise in SQL, statistics, and data visualization.
 
 
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 Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.
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 Significant experience in data science, analytics, economics, statistics, or a related quantitative field, including hands-on experience analyzing large and complex datasets.
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 Advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.
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 Demonstrated experience applying advanced analytical methods&mdash;including machine learning, causal inference, synthetic controls, or difference-in-differences&mdash;in a business context.
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 Experience developing and deploying analytical models in research and production environments.
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 Experience presenting findings and recommendations to business stakeholders, including senior leaders.
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 Proficiency in visualization and reporting tools such as Tableau or Looker, with the ability to produce executive-ready presentations.
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 Strong written and verbal communication skills, with the ability to tailor messages to both technical and non-technical audiences.
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 Ability to work proactively and independently in a fast-paced environment, managing competing priorities and bringing structure to complex business challenges.
 
 
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 The Traits to Exceed
 
 
 
 You are proactive, intellectually curious, and enjoy solving complex business problems while continuously learning and improving. As part of a broader Consumer Analytics organization, you will partner closely with cross-functional stakeholders across Product, Commercial, Marketing, Finance, and Engineering, making strong collaboration, communication, and influencing skills essential for success.
 
 
 We are especially looking for candidates who:
 
 
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 Are comfortable working in evolving and ambiguous environments, bringing clarity to complex business challenges.
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 Demonstrate intellectual curiosity and consistently go beyond the immediate question to uncover the insight that matters most.
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 Have a track record of translating rigorous analytical work into measurable business outcomes.
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 Embrace modern AI-enabled ways of working, using LLMs and intelligent automation tools to improve productivity and scale impact.
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 Communicate complex ideas clearly and confidently to audiences at all levels of the organization.
 
 
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 We Believe in You
 
 
 
 Interested? Don&rsquo;t hesitate to apply and let's talk &mdash; we&rsquo;d love to get to know you!
 
 
 _
 
 
 
 Subsidiary:
 
 
 
 PayPal
 
 
 
 Travel Percent:
 
 
 
 0
 
 
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
 
 
 
 Who We Are:
 
 
 
 Click Here to learn more about our culture and community.
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
</div>

MarketCast

<div>
 
 Junior Data Scientist - Product
 
 
 
 
 London, UK, Reading, UK
 
 
 
 
 Role Impact
 
 
 
 As our Junior Data Scientist - Product, you'll be a pivotal player on our Data Science Product Team, which currently comprises about 15 data scientists with varying levels of seniority.
 
 
 The Junior Data Scientist - Product plays a foundational role in supporting the design, engineering, execution, and delivery of advanced data science projects and market research products at Marketcast. Operating at the intersection of quantitative market research, software engineering, and artificial intelligence, this position focuses on building the backend systems and data pipelines that clean, process, and analyse complex datasets to extract actionable consumer insights. On a daily basis, the Junior Data
 
 
 Scientist assists in writing production-quality code, developing and maintaining data pipelines, implementing machine learning models, and translating analytics into robust, reusable product features under senior guidance. By ensuring high data quality, engineering rigour, and contributing to innovative product features, this individual directly enhances the reliability and scalability of the organisation's media and entertainment analytics.
 
 
 
 We're Looking For
 
 
 
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 Data Engineering and Pipeline Development &ndash; Design, build, and maintain reliable data pipelines that clean, preprocess, and structure complex quantitative datasets using Python, SQL, pandas, and modern data tooling. This technical processing is performed systematically and reproducibly, with an emphasis on well- structured, version-controlled, and testable code to prepare raw survey and consumer data for downstream statistical models. Ensuring clean inputs and resilient pipelines directly prevents model drift and maintains the reliability of product outputs. Success in this responsibility is defined by the timely delivery of error-free, analytical-ready, and maintainable data pipelines to senior data scientists.
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 Quantitative Analysis &amp; Modelling - Assist in executing statistical analyses, regression modelling, and audience segmentation under the guidance of senior team members, with a strong emphasis on mathematical rigour and a sound understanding of the methods being applied rather than their black-box use.
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 Backend &amp; Software Development - Contribute to the backend services, APIs, and codebases that power our data products, writing clean, tested, and well-documented code under senior guidance. The analyst works within standard software engineering practices - version control, code review, automated testing, and CI/CD - to ship features that are reliable and maintainable rather than one-off scripts. This software-first approach ensures our analytical work translates into durable product infrastructure. Success is measured by code quality, adherence to engineering standards, and the stability of contributions in production.
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 Infrastructure &amp; Deployment - Support the deployment, monitoring, and scaling of data science workloads across our cloud and infrastructure stack (e.g. containers, orchestration, and managed cloud services) under supervision. The analyst helps operationalise models and pipelines so they run reliably and cost-effectively at scale, contributing to the team's MLOps and engineering practices. This focus on robust infrastructure reduces manual intervention and improves the reliability of our products. Performance is evaluated on the stability, reproducibility, and efficiency of deployed workloads.
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 AI &amp; LLM Integration - Support the integration of artificial intelligence APIs, large language models (LLMs), and natural language processing pipelines into existing data products. Under supervision, the analyst helps configure frameworks to streamline analytical workflows, saving dozens of hours of manual coding on client projects. Performance is evaluated on the efficiency, robustness, and classification accuracy of the automated NLP routines.
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 Data Quality &amp; Validation - Execute rigorous quality control protocols across all assigned data products and research databases, including automated tests and validation checks wherever possible. The Junior Data Scientists systematically validate schemas, sample distributions, and statistical weights to verify data integrity, treating data validation as an engineering discipline. This preventative auditing mitigates the risk of reporting flawed conclusions to high-profile entertainment clients. Successful execution is measured by the complete absence of formatting or calculation errors in final delivery files.
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 Client Collaboration &amp; Technical Delivery &ndash; Work closely with product managers, engineers, and senior data scientists in a collaborative, software-development style &ndash; gather requirements, contributing to technical scoping, and participating in agile ceremonies and code reviews.
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 Cross-Functional Initiative Support - Participate actively in company-wide product development initiatives, research-on-research experiments, and technical thought leadership groups. The Junior Data Scientist collaborates across data operations, cloud engineering, product, and engineering departments to support the trial of new analytical and engineering methodologies. This cross-pollination of ideas ensures the product data science team remains at the forefront of marketing science and technical innovations. Engagement in these initiatives is demonstrated by active participation in internal sharing sessions and support for pilot projects.
 
 
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 Qualifications
 
 
 
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 We genuinely don&rsquo;t mind what is written on your certificate. While we would love you to have a formal qualification in any discipline that builds strong analytical and problem-solving skills, we primarily care that you're clever, rigorous, and can do the job. Equivalent practical experience - whether self-taught, through bootcamps, open-source contributions, a strong portfolio, or prior industry work - is just as welcome as a formal degree.
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 A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts.
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 A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, and backed by proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of
 
 
 seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 
 
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 
 
 
 Our Values
 
 
 
 
 Move The Needle
 
 
 
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 
 
 
 Client Success is Our Scoreboard
 
 
 
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 
 
 
 Grow Every Day
 
 
 
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 
 
 
 Own It
 
 
 
 Take responsibility for outcomes, not just outputs.
 
 
 
 Benefits
 
 
 
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 Free movie tickets!
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 29 days annual leave PLUS Bank Holidays
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 Flextime with core hours between 10am and 3pm
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 2 days&rsquo; work from home per week
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 4% match pension scheme
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 Enhanced maternity pay
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 Regular social events in both UK locations
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 Professional growth and career development including LinkedIn Learning
 
 
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 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 
 
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>

Junior Data Scientist I

IIT Software

IIT Software Limited is a UK-based IT delivery and consulting company providing specialist technology services to clients across the UK and internationally. We work across Life Sciences, Healthcare, and Enterprise Software sectors, delivering data-driven solutions and consulting services. We are expanding our delivery capability and are looking for an experienced Senior Data Analyst with proven Life Sciences and Healthcare sector experience to join our team.The RoleThis is a specialist role requiring deep domain knowledge of Life Sciences and Healthcare data. You will be embedded within a delivery team supporting our client's data mapping, transformation, and schema management requirements. You must be comfortable working with complex, multi-source datasets in a life sciences context and be able to translate AI and business data requirements into clear technical specifications.This is a remote, UK-based, full-time position. You will be employed directly by IIT Software Limited.Mandatory RequirementsCandidates must meet ALL of the following criteria to be considered for this role:<ul><li>Minimum 3 years of direct, hands-on experience working with Life Sciences and/or Healthcare data - this is a strict requirement and non-negotiable</li><li>5+ years of overall experience in data analysis with a focus on data mapping, data transformation, and schema management</li><li>Strong proficiency in SQL for data querying, manipulation, and profiling</li><li>Proficiency in Python (Pandas and related libraries) for data analysis and automation</li><li>Solid understanding of data structures and formats including JSON, CSV, XML, and relational and non-relational database schemas</li><li>Experience with ETL/ELT concepts and processes</li><li>Ability to translate business requirements and AI data needs into technical data mapping specifications</li><li>Excellent analytical and problem-solving skills with strong attention to detail</li><li>Strong communication and collaboration skills</li><li>Candidates must have the right to work in the United Kingdom</li></ul>Key Responsibilities<ul><li>Lead and deliver data mapping, data transformation, and schema management activities within the Life Sciences and Healthcare domain</li><li>Review and interpret complex datasets from a variety of sources specific to life sciences and healthcare environments</li><li>Write and optimise SQL queries for data querying, manipulation, and profiling</li><li>Develop and maintain Python scripts (Pandas and related libraries) for data analysis and automation</li><li>Work with a range of data structures and formats including JSON, CSV, and XML</li><li>Support ETL/ELT processes and contribute to data pipeline development</li><li>Translate business requirements and AI data needs into clear technical data mapping specifications</li><li>Collaborate with cross-functional teams including technical, business, and client stakeholders</li><li>Contribute to data governance and quality assurance activities</li></ul>Preferred Qualifications<ul><li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Information Systems, or a related quantitative field</li><li>Experience with customer data platforms (CDPs) or CRM systems such as Salesforce</li><li>Familiarity with data warehousing solutions such as Snowflake, BigQuery, or Redshift</li><li>Understanding of data preparation requirements for AI and Machine Learning models</li><li>Experience with data visualisation tools such as Tableau or Power BI</li><li>Familiarity with cloud data platforms such as AWS, Azure, or GCP</li><li>Knowledge of data governance principles and best practices</li><li>Experience in a startup or Agile development environment</li></ul>What We Offer<ul><li>Competitive salary of &pound;50,000 per annum</li><li>Workplace pension scheme</li><li>Flexible remote working arrangements</li><li>Opportunity to work on cutting-edge data and AI projects in the life sciences and healthcare sector</li><li>Supportive and collaborative team environment</li></ul>Pay: Up to &pound;50,000.00 per yearBenefits:<ul><li>Additional leave</li><li>Company pension</li><li>Flexitime</li><li>Work from home</li></ul>Work Location: Hybrid remote in London E14

Senior Data Analyst - Life Sciences and Healthcare (essential)

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Junior Data Scientist I

Senior Data Analyst - Life Sciences and Healthcare (essential)