data engineer

data scientist

senior data scientist

ai solution engineer

data science manager

analytical data scientist

LABOUR PARTY

<div></div><div><div><div><div><div><h2 class="jobSectionHeader">Job description</h2><div>
Role: Data Scientist
Salary: &pound;54,673.46 (gross) per annum inclusive of London Weighting, with a fixed sum allowance of &pound;1,195.
Current employees in banding 36 will maintain their existing salary.
Location: Head Office - London
Duration: Permanent 
The Labour Party is looking to recruit a Data Scientist. The post-holder will be responsible for supporting the work of the party in the analysis of voter behaviour, elections and campaigning, to contribute to Labour&rsquo;s political and organisational strategies through the use of data analysis, and lead on the measurement and reporting of campaign progress and campaign effects. 
The successful candidate will have: 
<ul><li>
Strong understanding of statistical modelling, with a minimum of degree-level statistical understanding, or equivalent professional experience</li><li>
Strong understanding of polling methodology and how to use to polling to answer political questions.</li><li>
Experience of conducting analysis and reporting on political data and polling and producing outputs like reports, visualisations and dashboards for stakeholders.</li><li>
Ability to understand how data on voters, campaigns and elections can be used to drive strategic decision making</li></ul> 
The Labour Party&rsquo;s standard working arrangement is that all employees based in headquarters in London/Newcastle attend their contracted office four days per week, Monday to Thursday. Home working is only authorised on Fridays. 
The deadline for applications is 12 July 2026. 
The Labour Party values equality and diversity, and welcomes applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marriage and civil partnership, or pregnancy and maternity.</div></div></div></div></div></div>

Data Scientist

Checkout.com

<div>Company Description
We&rsquo;re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we&rsquo;re behind many of the digital experiences you use every day.
 
 
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
 
 
Whether you want to book a holiday, order food, renew a subscription, or check out online, there&rsquo;s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
 
 
If you want to do career-defining work, you&rsquo;ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
 
 
With 20 offices across six continents and London as our HQ, we&rsquo;re shaping the future of fintech &ndash; and we&rsquo;re just getting started.
As a Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your analytical expertise to influence the strategy of our Operations and Compliance products. You'll focus on two main domains: AML Transaction Monitoring, where you will help optimize our rules-engine and scale predictive automation, and Merchant Care, where you will measure tooling efficiency and apply text analytics to drive product roadmaps.
You'll help define how we measure the success of our products, collaborate with engineers on data collection, build analytical frameworks, and run insights to find product improvement opportunities. Data Analytics at Checkout.com is a highly visible function that critically impacts the company&rsquo;s success. As part of this group, you'll have a strong support network of Senior Data Scientists, Analytics Engineers, and Data Product Managers to help you develop your technical and data science practice.
How You&rsquo;ll Make an Impact<ul><li>
Efficiency &amp; Product Measurement: Build frameworks to measure the operational efficiency and ROI of new software releases and internal tooling updates within Merchant Care.</li><li>
Data Partnerships: Work closely with Data Analytics Engineers and Software Engineers to ensure we log and model the right data to produce high-integrity business insights.</li><li>
Data-driven automations and solutions:<ul><li>
Run historical data simulations to analyze how changes in our deterministic AML rule thresholds affect review backlogs, and suggest optimal logic updates to our SQL-based alerts.</li><li>
Support the development and testing of a Level 1 (L1) automated discounting agent for transaction monitoring alerts, building on existing team frameworks.</li></ul></li><li>
Text Analytics &amp; Insights: Use clustering techniques and LLM-based summary extraction on merchant ticket conversations to identify recurring user friction points and help product teams map future features.</li></ul>
What We&rsquo;re Looking For<ul><li>
Technical foundations: Excellent data interrogation skills with SQL and the ability to comfortably write, read, and iterate through Python scripts to run data science analyses.</li><li>
Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data tasks.</li><li>
Analytical Mindset: A strong analytical mind with a demonstrable ability to take operational problems and convert them into structured, data-informed solutions.</li><li>
Communication: Clear and precise communicator, able to explain data insights and analytical logic to non-technical stakeholders (Product Managers and Operations teams).</li></ul>
Experience: Prior experience or a strong internship background in product analytics, risk/compliance data, or a high-growth tech environment is a plus.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you&rsquo;ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It&rsquo;s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you&rsquo;re ready to grow and make a difference, you&rsquo;ll be right at home here.
It&rsquo;s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it&rsquo;s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram</div>

Product Data Scientist

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science , Engineering, Physics, Economics, or a related quantitative field.</li><li>
Experience taking highly ambiguous concepts and personally designing the statistical models, data structures, and code to ship them as finished, sustainable data products.</li><li>
Experience navigating e-commerce or marketplace data, with a deep understanding of user acquisition, inventory data, and merchant/consumer behavior.</li><li>
Experience with Large Language Models, causal inference, experiment design at scale, and defining evaluation frameworks for agentic workflows.</li><li>
Experience maintaining full accountability for a technical codebase, balancing speed against analytical debt and model stability.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Our mission is to build scalable, commercially focused, and machine-consumable data products and insights that simplify problems and drive outcomes for merchants and consumers.
As a Staff Data Scientist, you are a technical leader who consolidates deep analytical excellence, statistical modeling, and domain expertise into highly maintainable, scalable data products. You bridge the gap between complex mathematical insights and strategic business decisions across high-impact engineering and product teams. Operating with high autonomy, you solve the organisation&rsquo;s most complex, ambiguous problems rather than being confined to a single product team or silo. You demonstrate exceptional scientific quality, ensuring that our analytical methodologies are robust, reproducible, and built to last. You partner directly with Engineering and Product to actively shape our agentic AI data products in our fast-moving &quot;one-team&quot; model.
The various, high-velocity team of 30 spans Mountain View and London, bringing together experts in Data Science. As a senior leader in this unit, you will have a direct global impact, actively inputting to Google&rsquo;s high-profile agentic commerce AI initiatives.
Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Goal Setting and Measurement: Set rigorous data science goals and translate highly undefined, ambiguous problems into concrete, structured, and auditable data and measurement frameworks.</li><li>
Data Productisation: Package complex data flows, causal inference models, and agentic workflows into sustainable, well-designed data products and reusable codebase assets that move beyond traditional dashboards..</li><li>
Strategic Advising: Act as an expert advisor to Engineering and Product Management Directors, delivering fast-turnaround, data-driven perspectives that influence product roadmaps and strategic pivots.</li><li>
System and Schema Design: Define and evaluate complex metrics (including conversational evaluation frameworks) while partnering with Data Engineering to co-design clean data schemas.</li><li>
Technical Execution: Proactively jump into high-priority, high-friction data science challenges, establishing fast insights and balancing with high standards for experimental design, data modeling and storytelling.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, 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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Product Data Scientist, Google Shopping

Sainsbury’s

<div><div><h1 class="jobSectionHeader">Data Scientist
</h1></div><h4 class="jobSectionHeader">Salary: Competitive Plus Benefits 
Location: London Store Support Centre and Home, London, EC1M 6HA
 
Contract type:
 
Business area: Data &amp; Analytics 
Closing date: 07 July 2026 
Requisition ID: 400067289</h4><div><div>At Sainsbury&rsquo;s, data sits at the heart of how we operate, innovate and serve our customers. Our Data &amp; Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury&rsquo;s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury&rsquo;s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you&rsquo;ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI.
</div></div><div><div>Data Scientist &ndash; Nectar360 


Location

London &ndash; Farringdon/Home

Reporting to

N360 Data Science Manager 


What is it?

We&rsquo;re looking for a talented Data Scientist to join Nectar360 &ndash; the team behind Sainsbury&rsquo;s Retail Media offering, and the UK&rsquo;s largest coalition loyalty programme (Nectar), with 24 million members nationwide.

Our N360 Data Science team builds the systems behind our market-leading Retail Media platform (N360 Pollen), allowing hundreds of suppliers, media agencies and internal teams to set up, customise and measure their marketing campaigns. We develop and continuously improve our cutting-edge measurement capabilities, including multi-channel attribution, uplift estimation, AI-driven targeting and budget optimisation - across instore, onsite and offsite media. Our work enables suppliers to engage with customers every day and maximise the impact of their advertising.

Based in our new Farringdon office, this role will work closely with decision-makers across Nectar360 and Sainsbury&rsquo;s to continue building innovative solutions for Nectar360, our suppliers and partners, using our incredible data assets, our rich customer understanding, and state of the art machine learning and AI. As one of the data scientist in the team, you&rsquo;ll apply your wealth of experience and ideas to design, build, and improve our capabilities &ndash; driving value for the customer and the business. With a large team of data scientists and analysts across Sainsbury&rsquo;s and millions of known customers, the scale and scope are huge. 


What will you be doing?

Solve the hard problems
<ul>
<li>Work on the technical development of algorithms and pipelines that will deliver against our strategic objectives in Nectar360, including our industry-leading marketing measurement solutions.</li>
<li>Develop and enhance modelling and optimisation capabilities, using techniques such as MMMs, causal inference, multi-touch attribution, experimentation Bayesian modeling, unsupervised learning and many others.</li>
<li>Support the maintenance and optimization of existing models to adapt to changing needs and client feedback.</li></ul> 


Embody and improve best practice
<ul>
<li>Align to best practice across modelling, experimentation, deployment, and model lifecycle management.</li>
<li>Collaborate with stakeholders to understand and deliver on their needs, and work with engineering teams to source data and deploy robust solutions.</li></ul> 


Be an enthusiastic member of our community
<ul>
<li>Bring new ideas for future approaches, including state of the art techniques where appropriate.</li>
<li>Understand how our business really works and how data science can improve customer experience and our offering to 3rd parties.</li>
<li>Actively contribute to our vibrant Data and Analytics community of over 800 colleagues</li></ul> 


What are we looking for?

We&rsquo;re looking for a highly motivated self-starter &ndash; someone who fixes problems and creates value without micromanagement. You need to know how to balance our need for technical rigour against our need to deliver commercial and customer value.

Value delivery
<ul>
<li>Experience in Data Science roles in a commercial setting, with evidence of solving complex problems end-to-end.</li>
<li>A record of building systems which run in production, and an understanding of the value these generated.</li>
<li>An ability to understand commercial reality as well as technical rigour, and a pragmatic mindset.</li>
<li>A strong ability to communicate ideas to audiences of varying technical background and seniority, and present key ideas and insights succinctly.</li>
<li>Independence in proposing and implementing solutions</li></ul> 


Data Science expertise
<ul>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings, with proven experience in some of the following areas: Causal inference, MMMs, Bayesian inference, experimentation, multi-touch attribution, time series modelling.</li>
<li>Ability to select the right technique for a given objective and avoid pitfalls.</li>
<li>Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.</li></ul> 


Production-grade design
<ul>
<li>Advanced programming ability in Python and strong ability to use SQL, with a proven experience of developing complex solutions as part of a team.</li>
<li>Solid understanding of working with production codebases, version control and CI/CD.</li>
<li>Practical experience working with cloud platforms and MLOps tools to build and maintain production-ready solutions.</li></ul> 


Development
<ul>
<li>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</li></ul> 


Essential Criteria
<ul>
<li>Experience in previous Data Science roles in a commercial setting</li>
<li>Strong understanding of working with production codebases, version control and CI/CD.</li>
<li>Ability to communicate ideas to audiences of varying technical background and seniority</li>
<li>Independence in proposing and implementing solutions</li>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings</li>
<li>Advanced programming ability in Python and strong ability to use SQL</li></ul> 


Support we will provide
<ul>
<li>A vibrant team to bounce ideas off and to support you with specialised knowledge (technical, stats/data science or business processes)</li>
<li>Mentoring from Data Science Managers</li>
<li>Automation and orchestration support from our integrated engineering and product teams within Nectar360</li>
<li>Technical and non-technical training and regular hackathons, learning days and knowledge sharing sessions.</li></ul> 


We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Please see www.sainsburys.jobs for details.

#DataAndAnalytics

#DataScience

#LI-CM1
</div></div><div><div>We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks&rsquo; pay for maternity or adoption leave and up to 4 weeks&rsquo; pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).</div></div></div>

Arenko

<div>
 
 
 Who are we?
 
 
 
 Arenko was founded in 2014 and we are growing rapidly in an emerging sector. We&rsquo;d describe ourselves as fast-paced and inclusive. Our team are self-motivated problem solvers who take a collaborative approach to help the business develop and grow.
 
 
 
 
 
 
 So what do we do?
 
 
 
 As we move to the high-renewables and low carbon era, electricity storage is transforming the way the energy industry operates. The energy industry is fast becoming a digital and multidisciplinary sector that provides a fundamental service for modern society, but these needs must be delivered in a socially responsible way. Arenko is using new technology to add flexibility to the grid and secure supply in this fast-changing industry, offering a huge variety of opportunities for the future. At Arenko we are strongly committed to our mission of building a sustainable future by enabling a zero-carbon grid worldwide. Energy storage has a crucial role to play in the energy transition, and our technology enables the transformation of energy systems. We have committed a Sustainability Strategy more details of which can be found on our website at
 
 https://arenko.group/sustainability/
 
 
 
 
 
 
 Sound like something you care about? Please read on&hellip;
 
 
 
 
 
 
 What&rsquo;s the role?
 
 
 
 As a Data Scientist in the Nimbus Trade Optimiser team at Arenko, you will play a key role in shaping and evolving our algorithmic physical power trading strategies. Nimbus Trade is an algorithmic trading product used by traders and asset owners to automate the trading of grid-scale batteries and flexible assets. This role focuses on the data, optimisation, and strategy logic embedded in a production trading system, directly influencing how assets are traded in live energy markets. You will work at the intersection of data science, optimisation, and energy markets, helping to design the next generation of our optimiser and discover new trading and operational strategies in a rapidly changing energy landscape.
 
 
 
 
 
 Batteries and flexibility are fundamental to operating electricity grids with high levels of intermittent renewable generation. In this role, you will focus on understanding how our optimiser behaves in real market conditions, identifying opportunities to improve performance, robustness, and value capture. You will explore large and complex datasets produced by energy markets, trading systems, and simulations, and translate insights into improvements to optimiser logic, strategy design, and decision-making frameworks. You will work closely with engineers and traders to ensure data-driven ideas are implemented, tested, and evaluated in real market conditions. Your work will directly support trading outcomes for a market-leading client base operating battery and flexibility assets.
 
 
 
 
 
 You will:
 
 <ul>
 <li>
 Analyse market, trading, and operational data to identify opportunities to improve trading performance, optimiser behaviour, and value capture.
 </li>
 <li>
 Design, develop, and evaluate machine learning, statistical, and optimisation-based solutions to support trading and operational decision-making.
 </li>
 <li>
 Develop and test new trading and operational strategies using historical analysis, simulation, and experimentation techniques.
 </li>
 <li>
 Contribute to the design and evolution of optimiser objectives, constraints, and decision-making frameworks.
 </li>
 <li>
 Collaborate closely with engineers and traders to translate analytical insights into production-ready improvements.
 </li>
 <li>
 Build tools, analyses, and workflows that improve visibility into optimiser performance and reduce reliance on manual processes.
 </li>
 </ul>
 
 
 
 
 
 Who are you?
 
 
 
 Here at Arenko, we appreciate every single employee and the values they bring to the company so you might be completely different to what we expected. That being said, here&rsquo;s a few things we&rsquo;d love you to tick the boxes on;
 
 
 
 
 <ul>
 <li>
 You&rsquo;re degree level educated in Computer Science or a related discipline
 
 or
 
 you&rsquo;re able to demonstrate equivalent workplace experience.
 </li>
 <li>
 You have 2+ years of relevant experience in data science, quantitative analysis, quantitative research, or a closely related role.
 </li>
 <li>
 You&rsquo;re experienced in writing clean, maintainable, and production-ready Python code.
 </li>
 <li>
 You have experience developing, evaluating, and deploying machine learning models, with an understanding of the strengths and limitations of different approaches.
 </li>
 <li>
 You have solid knowledge of applied statistics, probability, and experimental best practices, with an understanding of common pitfalls and their impact on decision-making.
 </li>
 <li>
 You&rsquo;re familiar with optimisation techniques and their application to real-world decision-making problems.
 </li>
 <li>
 You have experience working on quantitative decision-making systems such as trading, optimisation, forecasting, or automated control systems. Experience in energy markets or battery optimisation is advantageous but not required.
 </li>
 <li>
 You&rsquo;re able to explain analytical approaches and findings clearly to both technical and non-technical audiences.
 </li>
 <li>
 You have strong data visualisation and storytelling skills, able to link analysis back to real-world impact.
 </li>
 <li>
 You&rsquo;re a self-motivated and pragmatic problem solver who enjoys working collaboratively in cross-functional teams.
 </li>
 <li>
 You&rsquo;re focused on automation, reproducibility, and building tools rather than repeating manual analysis.
 </li>
 <li>
 You can demonstrate curiosity and a desire to continuously learn, improve, and deepen their understanding of optimisation, trading, and energy markets.
 </li>
 </ul>
 
 
 
 
 
 So what&rsquo;s in it for you?
 
 
 
 Hopefully the first thing is you love what we do and want to be part of the mission but let&rsquo;s be honest&hellip;that&rsquo;s probably not why you&rsquo;re getting up to work everyday.
 
 
 
 
 
 We know that rewarding our employees is the best way to make them feel valued. This is a journey we&rsquo;d love you to take with us and as we grow we look forward to finding more ways to reward and thank you for your commitment to our mission. We currently offer the following benefits with more to come in future;
 
 
 
 
 <ul>
 <li>
 25 days holidays in addition to public holidays, carry over flex and festive office closure (a pretty decent annual leave allowance even if we do say so ourselves!)
 </li>
 <li>
 A genuine approach to flexible working - the vast majority of our employees spend at least a day or 2 each week in the office but we&rsquo;re open to making this work for everyone, their personal circumstances and their workloads
 </li>
 <li>
 Enhanced parental leave offerings with 6 months of full salary for the primary caregiver and 1 month for the secondary caregiver
 </li>
 <li>
 We provide premium Private Medical Insurance through Freedom Elite on a Medical History Disregarded (MHD) basis. In plain English: we generally cover pre-existing conditions from day one - a perk that puts your wellbeing first.
 </li>
 <li>
 A yearly salary review for all employees
 </li>
 <li>
 We are proud to support the continuous professional growth of our employees by providing a personal annual learning and development budget and fully covering the costs of professional membership fees and subscriptions relevant to your role
 </li>
 <li>
 Access to MindTools on us
 </li>
 <li>
 Bike to Work Scheme (because it wouldn&rsquo;t be very on brand if we didn&rsquo;t encourage you to think about how your travel affects the environment)
 </li>
 <li>
 Octopus EV Scheme (see above!)
 </li>
 <li>
 A commitment to your wellbeing, with access to our Employee Assistance Programme and complimentary eye tests in partnership with Specsavers
 </li>
 <li>
 As part of our DEI efforts, we are currently in partnership with MotherBoard which enable us to be committed to improving the working lives of parents at Arenko
 </li>
 <li>
 Regular opportunities to blow off some steam engage with our team, including quarterly socials, the big Festive Gathering and the Summer Party. We&rsquo;re also working on our wellness initiatives to support your Physical, social, mental and financial wellbeing.
 </li>
 </ul>
 
 
 
 
 
 Our selection process
 
 
 <ol>
 <li>
 First stage interview with hiring manager
 </li>
 <li>
 Take home technical test
 </li>
 <li>
 Second stage with Senior Data Team
 </li>
 <li>
 Final stage with hiring manager and Head of Trade Products
 </li>
 </ol>
 
 
 
 
 
 Want to join us?
 
 
 
 Here at Arenko, we want every employee and candidate to feel valued, comfortable, and able to be their own free self at work. Together, we are committed to building a diverse and inclusive culture that encourages, supports, and empowers the authentic voices of all our employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or any other aspect that makes you unique.
 
 
 
 
</div>

Prima

<div>Are you looking for a new challenge?

Fancy helping us shape the future of motor insurance?

Prima could be the place for you.

Since 2015, we&rsquo;ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we&rsquo;ve quickly become the number one online motor insurance provider. In fact, we&rsquo;re trusted by over 5 million drivers. And now we&rsquo;re expanding to help millions more drivers in the UK and Spain. 
<div></div> 
<div>To help fuel that growth, we&rsquo;re looking for Data Scientists to join our Pricing &amp; Underwriting Department, the strategic engine behind Prima's growth.</div>
<div></div>
<div>As part of this global team, you&rsquo;ll play a pivotal role in shaping our strategy and strengthening our competitive edge. Using data, analytical thinking, machine learning and business acumen, you&rsquo;ll help predict the future and set the right prices, keeping our offering both attractive and sustainable. You&rsquo;ll work with your data science tools and skills to bring real-world impact, collaborating with cross-functional teams to turn insights into action and fuel innovation across the company and its different branches.</div>
<div></div>
<h3 class="jobSectionHeader">Excited to make an impact? Here are the details.</h3>
<h3 class="jobSectionHeader">What you&rsquo;ll do</h3><div>
<ul><li>Leverage data to identify risks, opportunities and key pricing drivers, turning complex information into actionable insights that influence strategic decision making;</li>
<li>Leverage Machine Learning and advanced analytics to develop risk and pricing models that power real-time insurance pricing for millions of customers;</li>
<li>Contribute directly to the company&rsquo;s growth and long-term success through innovative modelling, experimentation and commercially impactful insights.</li>
</ul>
</div><div></div><h3 class="jobSectionHeader">What we&rsquo;re looking for</h3><div>
<ul><li>Strong academic background in Mathematics, Physics, Engineering (Maths, Physics and Computer Science specialisations), Data Science, Computer Science or Statistics;</li>
<li>Strong quantitative, logical and analytical abilities, a solid foundation in statistics, probability and advanced analytics, and a curious, proactive and innovative mindset focused on solving complex problems;</li>
<li>Fluency in English, both spoken and written.</li>
</ul>
</div><div></div><h3 class="jobSectionHeader">Nice-to-Have</h3><div>
<ul><li>Strong communication skills, with the ability to challenge assumptions, and drive new ideas;</li>
<li>Possess a solid foundation in code development and machine learning, ideally in Python;</li>
<li>Know how to create, manipulate and analyse large datasets.</li>
</ul>
</div><div></div><h3 class="jobSectionHeader">Why you'll love it here</h3>

We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.

Competitive compensation: Benefit from competitive salaries, starting from &pound;80k up to &pound;160k, with clear opportunities to grow as you do.

Work Your Way: Enjoy full flexibility &ndash; work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.<div></div> 
\uD83C\uDFC1 Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.

\uD83C\uDF08 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Think you&rsquo;re a match? Apply now. 


At Prima, we celebrate uniqueness. If you don&rsquo;t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.

Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at accessible.recruiting@prima.it. Let&rsquo;s build the future of insurance, together.</div>

Kinarden Search

<div>
 
 An exciting opportunity has arisen within a global consultancy's new and growing Data Science and AI team working on a range of machine learning, analytics and model validation projects.
 
 
 This role will suit individuals with experience in data science, machine learning or applied AI who are looking to work across a variety of complex business and technology challenges.
 
 
 
 
 
 
 The opportunity:
 
 
 <ul>
 <li>
 Developing and validating machine learning models
 </li>
 <li>
 Supporting the review and assessment of AI and data science solutions
 </li>
 <li>
 Working with large and complex datasets to generate meaningful insights
 </li>
 <li>
 Collaborating with technical and non-technical stakeholders
 </li>
 <li>
 Contributing to the development of innovative AI and analytics capabilities
 </li>
 </ul>
 
 
 
 
 
 Key requirements:
 
 
 <ul>
 <li>
 Strong Python skills (essential)
 </li>
 <li>
 Experience developing and validating machine learning models
 </li>
 <li>
 Knowledge of machine learning frameworks and statistical modelling techniques
 </li>
 <li>
 Exposure to LLMs, Generative AI or Agentic AI
 </li>
 <li>
 Experience with cloud platforms such as Azure or AWS desirable
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 </ul>
 
 
</div>

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