data engineer

data scientist

senior data scientist

data science manager

senior analytics engineer

global it data scientist senior specialist

Boston Consulting Group (BCG)

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 What You'll Do
 
 
 Are you passionate about harnessing the power of Generative AI to solve real-world
 
 
 problems? As a world-renowned and leading AI Consulting firm, we are actively
 
 
 seeking hands-on GenAI experts to join our PSG BI&amp;A Team.
 
 
 As a GenAI IT Senior Data Scientist you will work closely with our Partner Services
 
 
 Group to understand their key challenges, define GenAI products, win buy-in for your
 
 
 recommendations and collaborate with other IT teams to transform stakeholder
 
 
 potentials into performance.
 
 
 Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&amp;A Data
 
 
 Science expertise and will be responsible for overseeing end-to-end Data Science and
 
 
 GenAI solutions, collaborating closely with the BI&amp;A Squad to deliver on stakeholder
 
 
 objectives.
 
 
 What You'll Bring
 
 
 We&rsquo;re looking for exceptional talent with experience in core Data Science and AI
 
 
 
 To Join Us. You Will Typically Have
 
 
 
 <ul>
 <li>
 +4 years experience in IT strategy and consulting, professional software
 
 
 </li>
 </ul>
 development or Data Science product organisation.
 
 
 <ul>
 <li>
 A bachelor's or master&rsquo;s degree in computer science, Engineering, or a related
 
 
 </li>
 </ul>
 field. Preferably with a focus on artificial intelligence, machine learning, or
 
 
 data science.
 
 
 <ul>
 <li>
 Strong Data Science experience with proficiency in Python, Snowflake, DBT
 
 
 </li>
 </ul>
 and Tableau with experience working in a Data Engineering team and a
 
 
 proven ability to communicate effectively and provide clear, actionable
 
 
 insights to senior stakeholders
 
 
 <ul>
 <li>
 Strong technical expertise in Generative AI, Data Science and Machine
 
 
 </li>
 </ul>
 Learning.
 
 
 <ul>
 <li>
 A strategic thinker, entrepreneurial, able to work creatively and analytically in
 
 
 </li>
 </ul>
 a problem-solving environment
 
 
 <ul>
 <li>
 Outstanding analytical and conceptual skills, strong customer focus and
 
 
 </li>
 </ul>
 mental agility with a results orientation
 
 
 <ul>
 <li>
 Sound understanding of GenAI solution constructs e.g., LLMs, RAG,
 
 
 </li>
 </ul>
 Guardrails, MLOps and multi-modality
 
 
 <ul>
 <li>
 Experience managing and executing data science and AI projects, from
 
 
 </li>
 </ul>
 ideation to deployment, while ensuring alignment with business objectives
 
 
 and delivering impactful outcomes
 
 
 <ul>
 <li>
 Understanding of various GenAI platform &amp; middleware and how they fit in
 
 
 </li>
 </ul>
 GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or
 
 
 LlamaIndex
 
 
 <ul>
 <li>
 Able to understand &amp; apply advanced prompt engineering methods and
 
 
 </li>
 </ul>
 related concepts (RAG, context windows, memory) RAG is a must!
 
 
 <ul>
 <li>
 Experience in the organisation of workshops at peer level and facilitating
 
 
 </li>
 </ul>
 meetings
 
 
 <ul>
 <li>
 Ability to work autonomously while contributing effectively as part of a team
 </li>
 <li>
 Strong business acumen; can frame complex problems in appropriate
 
 
 </li>
 </ul>
 business contexts
 
 
 <ul>
 <li>
 Highly professional and rigorous, results-oriented, driven and hard-working
 </li>
 <li>
 Have excellent verbal and written communication skills in English
 </li>
 <li>
 Loyal and reliable, possessing the highest ethical standard
 </li>
 <li>
 Good interpersonal skills but also judgement independency and autonomy
 </li>
 <li>
 Ability to propose innovative ideas, build empathy within the firm and win the
 
 
 </li>
 </ul>
 trust of key stakeholders
 
 
 Who You'll Work With
 
 
 You will be part of the PSG BI&amp;A Squad and our IT Functional Technology team,
 
 
 partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI,
 
 
 and Security/Architecture teams. Together, you&rsquo;ll deliver scalable, secure, and
 
 
 innovative GenAI solutions that will transform how PSG teams engage with
 
 
 technology.
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Global IT Data Scientist Senior Specialist

Frontier Resourcing

<div><div>Principal Data Scientist &amp; Machine Learning Researcher
</div><div>Gloucester | London | Manchester

Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions.

Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques.

We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site).

<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
The Opportunity
As a Senior Data Scientist &amp; Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment.

You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&amp;D programmes.

This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.

Key Responsibilities
<ul><li>Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy.
</li><li>Lead technical investigations, research activities and AI/ML development across customer and internal projects.
</li><li>Identify innovative approaches to solving complex technical challenges and contribute to future research directions.
</li><li>Provide technical leadership within project teams and support successful project delivery.
</li><li>Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions.
</li><li>Mentor and support junior team members, helping to develop technical capability across the wider team.
</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences.
</li>
</ul>Essential Skills &amp; Experience
<ul><li>Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.
</li><li>Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.
</li><li>Proven experience delivering machine learning solutions within commercial, research or government environments.
</li><li>Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.
</li><li>Experience training, fine-tuning and evaluating machine learning and AI models.
</li><li>Ability to undertake technical research and apply findings to real-world challenges.
</li><li>Experience producing high-quality technical documentation, reports or research publications.
</li><li>Previous experience mentoring team members and providing technical leadership.
</li>
</ul>Desirable Skills &amp; Experience
<ul><li>MSc or PhD with a strong research background.
</li><li>Experience developing and maintaining robust ML pipelines and MLOps practices.
</li><li>Familiarity with version control, containerisation and environment management tools, including Git and Docker.
</li><li>Experience working within Linux environments and using command-line tooling.
</li><li>Experience deploying and scaling AI/ML solutions into production environments.
</li><li>Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable.
</li><li>Published research in peer-reviewed journals or conferences.
</li><li>Experience writing technical proposals, bids or research funding submissions.
</li>
</ul>What's on Offer
<ul><li>Opportunity to work on highly complex and meaningful national security challenges.
</li><li>Exposure to cutting-edge AI, Machine Learning and Data Science projects.
</li><li>Collaborative environment with experienced researchers, engineers and technical specialists.
</li><li>Clear opportunities for technical development, leadership and career progression.
</li><li>Hybrid working with locations in Gloucester, Manchester or London.
</li>
</ul>Benefits:
<ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on to of salary and annual bonus
</li><li>Company bonus scheme
</li><li>Contributory Pension Scheme (up to 10.5% company contribution)
</li><li>6 times salary &lsquo;Life Assurance&rsquo; with pension
</li><li>25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li></ul></div></div>

Principal Data Scientist and Machine Learning Researcher (eDV)

Goldman Sachs

<div>
 
 Job Description
 
 
 
 Are you a visionary Data Scientist or Machine Learning Scientist passionate about leveraging cutting-edge AI to transform financial markets? Do you thrive on building end-to-end solutions, from robust data pipelines and sophisticated feature engineering to deploying advanced predictive models and personalized recommendation systems? If you have hands-on experience, and a desire to make a significant impact in a dynamic, fast-paced environment, we want to hear from you.
 
 
 
 OUR IMPACT
 
 
 
 The Global Markets Division
 
 
 As a Data Scientist/Machine Learning Scientist in the Global Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights
 
 .
 
 Leveraging cutting-edge techniques, you will develop sophisticated analytical tools that will, at scale, connect clients to the signals, tools and expertise to better analyze their portfolios and manage risk. Your expertise will drive data-driven product development and business strategy through advanced analytics, predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ML techniques to solve the most complex business challenges in a dynamic, entrepreneurial team with a passion for the markets.
 
 
 Marquee
 
 
 Marquee is Goldman Sachs' premier digital platform for Global Banking &amp; Markets, serving our Institutional Clients (Hedge Funds, Asset Managers, Insurers) and Corporate Clients with the latest insights and analytics from the division. A recognized market leader, Marquee has garnered 5 awards over the past 3 years for its innovative solutions.
 
 
 The Marquee Sales Strats Team
 
 
 The Marquee Sales Strats team is a hub for advanced data science and machine learning, focusing on developing and deploying predictive AI, recommendation systems, and sophisticated analytical models. We leverage extensive datasets, including those structured in graph databases and knowledge graphs, to generate deep insights into financial markets and enhance Marquee&rsquo;s platform engagement. We collaborate closely with Sales, Trading, Engineering, Product, Design, other areas of the Global Markets Division, and directly with clients. Our global team comprises experts in financial markets, product structuring, cutting-edge technology, and advanced data science/machine learning, including specialists in graph theory and knowledge representation.
 
 
 
 How You Will Fulfill Your Potential
 
 
 
 At Goldman Sachs, our Engineers and Scientists don&rsquo;t just make things &ndash; we make things possible. Change the world by connecting people and capital with ideas and technology. Combine advanced engineering and deep market knowledge to solve the most pressing problems for our clients. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment.
 
 
 As a Marquee Sales Data Scientist/Machine Learning Scientist, you will be instrumental in designing, developing, and deploying advanced machine learning models, including predictive AI and recommendation systems, to deliver unparalleled analytics and insights for the Goldman Sachs Franchise
 
 .
 
 Your work will directly enhance the client experience and drive strategic decision-making
 
 .
 
 You will collaborate closely with Traders, Salespeople, and Strats across all asset classes, leveraging your expertise to build robust data pipelines, engineer impactful features, and train sophisticated models. Your contributions will be critical in developing personalized recommendation engines and predictive analytics that drive Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit-learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies.
 
 
 
 Responsibilities
 
 
 
 
 RESPONSIBILITIES AND QUALIFICATIONS:
 
 
 
 <ul>
 <li>
 Design, build, and maintain robust data pipelines for feature engineering and model training, ensuring data quality, scalability, and explainability.
 </li>
 <li>
 Develop, train, and deploy state-of-the-art machine learning models, with a strong focus on recommendation systems and signal generation, to address complex problems in financial markets.
 </li>
 <li>
 Utilize and contribute to the development of graph databases and knowledge graphs to enrich data context, uncover hidden relationships, and make predictions.
 </li>
 <li>
 Conduct rigorous model evaluation, A/B testing, and monitoring to ensure optimal performance, reliability, and business impact of deployed models.
 </li>
 <li>
 Collaborate with product managers, engineers, and business stakeholders to translate complex analytical findings into clear, actionable insights and integrate ML solutions into production systems.
 </li>
 <li>
 Stay abreast of the latest advancements in machine learning, AI, and data science, and proactively identify opportunities to apply new techniques.
 </li>
 <li>
 Contribute to the team's overall technical growth and best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field.
 </li>
 <li>
 2+ years of proven expertise and hands-on experience in the full lifecycle of data science and machine learning projects, from data ingestion and feature engineering to model deployment and monitoring in a production environment.
 </li>
 <li>
 Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit-learn)
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment.
 </li>
 <li>
 Ideally having understanding and practical experience with graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge graph construction, querying (e.g., Cypher, SPARQL), and utilization for feature enrichment.
 </li>
 <li>
 Strong understanding of statistical modeling, experimental design, and causal inference.
 </li>
 <li>
 Clear, critical thinking, concise writing skills, and excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.
 </li>
 <li>
 Self-starter with a creative, hands-on approach to problem-solving and a passion for designing and implementing programmatic solutions to client needs.
 </li>
 <li>
 Able to thrive in a global, fast-paced, and collaborative team environment.
 
 
 </li>
 </ul>
 
 About Goldman Sachs
 
 
 
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
 
 
 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
 
 
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 
 
 &copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
 
 
 Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
</div>

Global Banking & Markets - Data / Machine Learning Scientist, Marquee Sales Strats, Associate

Sainsbury’s

<div><div><h1 class="jobSectionHeader">Senior 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: 400067294</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>Senior 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 Senior 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 senior individual contributors 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 you will do

As a Senior Data Scientist, your key responsibilities will include:

Solve the hard problems
<ul>
<li>Lead 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>Own projects, leading junior colleagues and engaging with stakeholders to define goals and ensure projects deliver impact.</li></ul> 


Embody and improve best practice
<ul>
<li>Align to best practice across modelling, experimentation, deployment, and model lifecycle management.</li>
<li>Coach through doing &ndash; pairing on code and demonstrating standards.</li></ul> 


Be an enthusiastic member of our community
<ul>
<li>Become the recognised data science technical expert in your team, bringing 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> 


Who you are

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>Extensive 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>Experience working in an Agile way, and ability to understand the trade-off between immediate value, future value, and technical options.</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 and working with large codebases as part of a team.</li>
<li>Solid understanding of setting up and 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>
<li>Ability to lead technical conversations with Data/ML Engineers.</li></ul> 


Development and coaching
<ul>
<li>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</li>
<li>Ability to support in the development, training and mentoring of others</li></ul> 


Essential Criteria
<ul>
<li>Extensive experience in previous Data Science roles in a commercial setting</li>
<li>A record of building systems which run in production</li>
<li>A strong 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>
<li>Solid understanding of working with production codebases, version control and CI/CD.</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 20% 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, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to &pound;10k, 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).&quot;</div></div></div>

Senior Data Scientist

dunnhumby

<div><div>dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl&eacute;, Unilever and Metro.</div><div></div> 
We're looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients. 


Joining our advanced data science team, you'll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them. 
Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value. You'll drive change, shape innovative solutions, and actively redefine how organizations harness data. 


What we expect from you
<ul>
<li>Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field</li>
<li>Strong programming skills &mdash; Python and SQL are essential; PySpark experience is highly advantageous</li>
<li>Experience with version control tools (e.g. GIT)</li>
<li>Solid understanding of analytical technologies, tools, and techniques</li>
<li>Excellent logical thinking and problem‑solving abilities</li>
<li>Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences</li>
<li>Proven experience in statistical modelling and applying data science solutions to real client problems</li>
<li>A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact</li>
<li>Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment</li>
<li>Background in retail analytics (especially exposure to Category Management) is advantageous</li>
</ul><div>
What you can expect from us

We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)</div></div>

Senior Applied Data Scientist

Faculty

<div><h2 class="jobSectionHeader">Why Faculty? 
</h2> 
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we&rsquo;ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don&rsquo;t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we&rsquo;re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you&rsquo;ll be empowered to envision its most powerful applications, and to make them happen.<h2 class="jobSectionHeader">
About the team</h2>
Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.
#LI-PRIO<h2 class="jobSectionHeader">
About the role</h2>
As a Principal Data Scientist, you'll serve as a recognised authority and strategic force across the organisation, shaping not just how we deliver but how we evolve. You will define our technical vision at the highest level, influence organisation-wide strategy, and take ultimate ownership of our most critical, complex, and commercially significant programmes. This position goes beyond project delivery &mdash; you are a multiplier of capability, a trusted partner to senior leadership, and a key driver of long-term competitive differentiation.<h2 class="jobSectionHeader">
What you'll be doing:</h2><ul><li>
Defining and owning the long-term technical vision for the practice, setting standards that raise the bar across the entire organisation.</li><li>
Architecting and overseeing the delivery of flagship, business-critical programmes &mdash; spanning multiple workstreams, teams, and client organisations.</li><li>
Driving organisation-wide adoption of innovation, tooling, and best practices &mdash; influencing how the entire Data Science craft evolves.</li><li>
Cultivating senior talent across the organisation &mdash; coaching leads and managers, building capability pipelines, and embedding a culture of technical excellence.</li><li>
Acting as the senior technical voice in C-suite and executive client engagements, shaping strategic direction and securing long-term partnerships.</li><li>
Leading on the most strategically significant sales opportunities, providing technical authority that differentiates our proposition and wins high-value engagements.</li><li>
Partnering with Engineering, Commercial, and Infrastructure leadership to align technical strategy with broader business goals and growth ambitions.</li></ul><h2 class="jobSectionHeader">
Who we're looking for:</h2><ul><li>
You are a recognised expert in multiple machine learning domains, with the technical breadth to make sound judgements across the full data science landscape.</li><li>
You have a proven track record of shaping technical strategy at an organisational level &mdash; not just within projects, but across business units and leadership forums.</li><li>
You have led the delivery of large-scale, high-ambiguity programmes and can bring clarity, structure, and momentum to the most complex situations.</li><li>
You are a skilled developer of senior people &mdash; coaching leads and managers, building capability, and shaping a high-performance culture.</li><li>
You operate naturally at the executive level &mdash; with clients and internal stakeholders alike &mdash; as a trusted advisor who can translate technical thinking into commercial outcomes.</li><li>
You have a visible external profile &mdash; through publications, conference contributions, open-source leadership, or industry influence &mdash; that reflects your standing in the field.</li><li>
You think beyond the immediate &mdash; identifying emerging opportunities and risks and proactively shaping the organisation's response before they arrive.</li></ul><h2 class="jobSectionHeader">
Our Interview Process</h2><ul><li>
Talent Team Screen (30 minutes)</li><li>
Introduction to the team (30 minutes)</li><li>
Take Home Technical Assessment</li><li>
Technical Interview (90 minutes)</li><li>
Commercial Interview (60 minutes)</li></ul><h2 class="jobSectionHeader">
Our Recruitment Ethos</h2>
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We&rsquo;re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:<ul><li>
Unlimited Annual Leave Policy</li><li>
Private healthcare and dental</li><li>
Enhanced parental leave</li><li>
Family-Friendly Flexibility &amp; Flexible working</li><li>
Sanctus Coaching</li><li>
Hybrid Working</li></ul>
If you don&rsquo;t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.</div>

Principal Data Scientist

Rippling

<div><h2 class="jobSectionHeader">About Rippling</h2>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. 
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds. 
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes. 
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses. 
About the role
We are looking for a Compliance Governance Data Scientist to join our Compliance Risk Office (CRO). As Rippling expands rapidly into regulated markets globally (UK, EU, AU, SG, NZ), our compliance surface is outgrowing our legacy infrastructure. This role is a critical technical hire tasked with closing that gap. 
Moving beyond traditional Financial Crime/AML, you will build the technical data infrastructure to track cross-domain compliance risks across Complaints, Regulatory, Product Governance, and Employer of Record (EOR). You will own the automated aggregation of risk data, stand up our central Management Information (MI) reporting framework, and help launch our proprietary Compliance Risk App. 
The ideal candidate has 2&ndash;3 years of experience writing SQL, building dashboards, and translating qualitative compliance frameworks into quantitative data models. 
What you will do<ul><li>
Transition the CRO from manual data assembly to automated, real-time dashboards that provide a single consolidated view of risk for the Compliance Committee and Board.</li><li>
Serve as the functional data owner for the rollout of our Compliance Risk App, ensuring it serves as the single source of truth for all cross-domain risks.</li><li>
Work closely with our Governance Lead to translate the new compliance risk taxonomy into measurable Key Risk Indicators (KRIs) across all business units.</li><li>
Connect data pipelines from our Monitoring &amp; Testing (M&amp;T) domain programs directly to the central risk register so testing becomes completely risk-based.</li><li>
Run historical and predictive trend reporting on compliance issues, tracking open actions to ensure the business can actively evidence its compliance to global regulators.</li></ul> 
What you will need<ul><li>
2&ndash;3 years of experience as a Data Analyst, Risk Analyst, or Business Intelligence Engineer, ideally within a scaling Fintech, SaaS, or highly regulated operational environment.</li><li>
Strong proficiency in SQL (joins, CTEs, optimization) and experience building production-grade dashboards in BI tools (e.g., Tableau, Power BI, or Looker).</li><li>
Experience working with risk management platforms, GRC systems, or internal application development (experience with internal low-code/no-code internal app building is a massive plus).</li><li>
While you do not need to be a legal expert, you must be eager to learn cross-domain compliance areas like EOR regulations, marketing compliance, and global regulatory frameworks.</li><li>
Proven ability to operate in a fast-paced &quot;build&quot; environment, transforming unstructured, messy data into organized, automated pipelines.</li></ul></div>

Compliance Governance Data Scientist

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