machine learning engineer

data engineer

data scientist

senior data scientist

senior analytics engineer

data science manager

Entain

<div><div><div><div><h2 class="jobSectionHeader">Company Description</h2></div><div>
This role is for Angstrom Sports, a proprietary sports pricing and product provider, building intricate, simulation driven pricing and risk systems to support the success of key sports brands across the Entain group.
Founded in 2018 and having established itself as a pioneer in player-level, play-by-play simulations and forecasting, Angstrom was acquired by Entain in 2023. Today, we operate as a semi-autonomous division, responsible for delivering the group&rsquo;s most advanced pricing and risk capabilities with a focus on the US market. We&rsquo;re committed to building the next generation of sports betting products &mdash; sports-first, recreationally-focused, and designed to make betting more engaging, more intelligent, and more fun.
We&rsquo;re proud to be a high-performing, low-ego team where brilliant people are empowered and people work to become brilliant. While we&rsquo;re ambitious and delivery-driven, we take real pride in how we operate and the health of our independent culture, underpinned by mutual trust and respect.</div></div><div><div><h2 class="jobSectionHeader">
Job Description</h2></div><div>
We have an exciting opportunity for a talented organiser of people &amp; projects to join our rapidly expanding Sports Analytics company based in London Bridge.
As Data Science Manager, you are responsible for managing the Leads of multiple sport-specific modelling teams. You ensure consistency, alignment, and delivery across the portfolio of models while supporting the career development of Lead Data Scientists.
You will work closely with the Head of Data Science on planning, staffing, and setting the direction for the function. You will be instrumental in scaling the data science capability and ensuring technical quality, delivery efficiency, and team cohesion across the department.
Key responsibilities
<ul><li>Resource planning of the Data Scientists to optimise departmental objectives and tasks in ongoing projects.</li><li>
Manage, coach, and develop Data Science Leads across multiple teams.</li><li>
Support Leads in planning, prioritisation, and delivery of high-quality forecasting models.</li><li>
Help set and maintain a high bar in technical standards, code practices, and documentation across teams.</li><li>
Identify and address capacity, capability, or performance challenges across the department.</li><li>
Collaborate with Delivery and Engineering counterparts to maintain efficient team operations.</li><li>
Work with the Head of Data Science to shape department-wide strategy, tooling, and hiring plans.</li><li>
Facilitate cross-team learning, innovation, and the sharing of best practices.</li><li>
Act as an escalation point for technical or resourcing issues across teams.</li><li>
Represent the Data Science function in cross-departmental discussions or leadership meetings.</li><li>
Help maintain a collaborative, supportive, and high-performance culture across the modelling organisation.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Qualifications</h2></div><div>
Essential<ul><li>
Demonstrated success managing Data Science Leads and growing high-performing teams.</li><li>
Skilled in aligning delivery across multiple projects, sports, or technical domains.</li><li>
Strong technical background in model development and deployment, with the ability to support and challenge teams when needed.</li><li>
Advanced programming experience (R/Python/C#/Java)</li><li>
Excellent communication and leadership skills across technical and non-technical stakeholders.</li><li>
Proven ability to manage hiring, performance, and team development.</li><li>
Familiar with cross-functional planning, prioritisation, and capacity management.</li><li>
Champions a culture of collaboration, experimentation, and delivery.</li><li>
Domain expertise in sports modelling or betting products.</li><li>
2+ years managing teams and leading delivery across multiple modelling projects</li></ul>
Desirable:<ul><li>
Experience building or scaling data science functions</li><li>
Familiarity with model governance, risk, or compliance processes.</li><li>
Knowledge of tooling and infrastructure challenges across data and ML teams.</li><li>
Strategic thinking in resource allocation and modelling roadmaps.</li><li>
Passion for modelling excellence and deep awareness of current trends in applied data science.</li><li>
Experience using cloud services (AWS preferred)</li><li>
A degree (PhD, MSc, BSc) in a STEM subject or similar provable numerate and quantitative skills</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Additional Information</h2></div><div>
At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning.
Depending on your role and location, you can expect to receive benefits like:<ul><li>
Generous bonus scheme</li><li>
Hybrid working</li><li>
Private medical insurance</li><li>
Pension Scheme - matched to 6%</li><li>
Ability to buy and sell holiday</li><li>
Free subscription to wellbeing app Unmind</li><li>
Entain &amp; Enhance days</li><li>
Sharesave Scheme</li></ul>
Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.
Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.</div></div></div>
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<div><h2 class="jobSectionHeader">
Job Location</h2><div>
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Data Science Manager

JMAN Group

<div>JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. 
 
<h2 class="jobSectionHeader">Position:
</h2>We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. 
This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. 
You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. 
While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands-on experience delivering applied machine learning and statistical modelling in real-world settings.
Internally, you will act as a data science standard-setter, helping define best practice, raising the quality bar, and developing others within the team. 
Scope of Work
Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role:<ul><li>
Data Science (Primary Focus):</li><li>
Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes.</li><li>
Generative AI (Secondary):</li><li>
LLM-powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data-led solutions.</li><li>
Autonomous AI (Emerging):</li><li>
Agent-based systems and AI workflows, used selectively where they add clear value.</li></ul> 
~75&ndash;80% of the role is focused on Data Science-led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. 
Core Responsibilities<ul><li>
Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring.</li><li>
Translate ambiguous business problems into hypothesis-driven data science solutions, grounded in statistical rigour and practical feasibility.</li><li>
Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable.</li><li>
Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility.</li><li>
Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management.</li><li>
Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value.</li><li>
Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision-making at senior levels.</li><li>
Manage delivery timelines, risks, and priorities across engagements.</li><li>
Set the standard for data science excellence, including coding standards, documentation, and best practices.</li><li>
Mentor junior team members, supporting their development as data scientists.</li></ul> 
The most important requirement for this role is proven, hands-on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end-to-end machine learning or statistical solutions in real-world environments.<h2 class="jobSectionHeader"> 
Requirements:
</h2><ul><li>5+ years&rsquo; experience in Data Science or applied machine learning, ideally in consulting, high-growth, or commercial environments.</li><li>
Strong applied machine learning expertise, including:Model selection and developmentFeature engineeringEvaluation and validationDeployment into production environments</li><li>
Demonstrated experience taking models beyond experimentation into operational, business-critical systems.</li><li>
Strong background in statistics and quantitative problem solving.</li><li>
Proficiency in Python and SQL, with experience writing production-quality, maintainable code.</li><li>
Experience with modern data science tooling, including:Version control (Git)Cloud platforms (AWS, GCP, or Azure)Experiment tracking and model managementWorkflow orchestration and containerisation</li><li>
Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management.</li><li>
Proven ability to translate business problems into data science solutions that deliver measurable outcomes.</li></ul>
Beneficial<ul><li>
Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise.</li><li>
Awareness of emerging AI paradigms (e.g. agent-based systems) is a plus, but not required.</li></ul> 
Specialisms (Data Science&ndash;led)
We particularly value depth in applied data science areas such as:<ul><li>
Predictive Modelling &amp; Forecasting</li><li>
Customer analytics (segmentation, churn, LTV)</li><li>
Pricing and optimisation models</li><li>
Time series modelling</li><li>
Experimental design and causal inference</li><li>
Natural Language Processing (within a traditional ML framework as well as LLM-based approaches)</li></ul><h2 class="jobSectionHeader"> 
Other information:
</h2>If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you.
JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs.<h2 class="jobSectionHeader"> 
Other information</h2><ul><li>
Discretionary bonus &ndash; based on personal and company performance</li><li>
25 days annual leave + bank holidays</li><li>
Pension with a company contribution up to 8%</li><li>
Health Insurance from day 1</li><li>
Life insurance and long-term disability insurance</li><li>
Market-leading parental leave policy</li><li>
Salary Sacrifice Nursery Scheme through YellowNest</li><li>
Salary Sacrifice EV Scheme with Octopus Vehicles</li><li>
Additional Health Cash Plan with MediCash</li><li>
Cycle to work scheme</li><li>
Referral bonus for bringing in new JMAN hires</li><li>
Extensive training and coaching opportunities</li><li>
Regular company socials and retreats</li><li>
Hybrid working - minimum of 3 days in the office (E3N)</li></ul></div>

Tapestry

<div>Explore the possibilities across our global house of brands. 
 
Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story. 
 
At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible.
Primary Purpose: The Senior Manager, Data Analytics applies advanced analytics and data science to fuel growth of Tapestry&rsquo;s EMEAI markets. The focus is shifting from routine reporting to actionable insight, driving adoption of data-based measurement across the organization and championing automation and AI to accelerate decision making and operational efficiency. You will work collaboratively with business partners worldwide to define the right questions, uncover high impact opportunities and translate insights into practical business recommendations that improve revenue, gross margin and customer experience.
The successful individual will leverage their proficiency in Data Analytics to:
<ul><li>Centralise data integrity, reporting, tools architecture and training while decentralising insight creation and action. Partner across functions to design data‑driven analysis, strategies and tools
</li><li>Shift effort from static reporting to insight generation. Build interactive visualisations, dynamic dashboards and standard reports that surface leading‑indicator insights
</li><li>Perform large‑scale analysis that uncovers high‑impact acquisition drivers, media‑spend efficiency and revenue‑boosting actions; translate results into clear, data‑driven stories
</li><li>Drive organisation‑wide adoption of data. Measure outcomes, showcase impact and encourage a data‑first mindset for decision‑making.
</li><li>Embed predictive models, automated reporting and AI‑driven recommendations (e.g., MAP efficiency, allocation optimisation) and champion their use in business processes
</li><li>Drive adoption of automation &amp; AI. Lead AI/ML pilot projects, demonstrate tangible value and promote scaling of successful models
</li><li>Collaborate with data‑engineering, data‑science and algorithm teams to innovate data sourcing, management and product solutions
</li><li>Connect with the Global Data Analytics (DA) team to align reporting standards, share best practices and foster cross‑regional data collaboration
</li><li>Maintain data integrity, develop reusable analytics tools and provide stakeholder training so teams can rely on accurate self‑service data
</li><li>Track key operational metrics, measure operational efficiency and drive process improvements that maximise sales, gross margin and improve the site site‑consumer journey &amp; conversion, and focus the organisation on acquisition levers
</li></ul>The accomplished individual will possess:
<ul><li>5+ years of hands‑on analytics experience within retail, eCommerce, or consulting environments
</li><li>Advanced SQL and ETL capabilities
</li><li>Strong data‑visualisation expertise (Tableau or comparable)
</li><li>Hands‑on experience with Google Analytics and BigQuery
</li><li>Proficiency in Python or R for analysis and modelling
</li><li>Proven ability to drive adoption of data‑based measurement and turn metrics into strategic actions
</li><li>Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI‑assisted tools)
</li><li>Excellent storytelling, communication, and relationship‑building skills
</li><li>Track record of translating analytics into revenue‑driving initiatives and improving gross margin
</li><li>Ability to prioritise dynamically in a fast‑paced, global environment
</li><li>Bachelor&rsquo;s degree in a quantitative or technical discipline
</li><li>Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.)
</li><li>Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling
</li><li>Prior success influencing global data‑culture change and promoting data‑centric decision making
</li></ul>Please be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK.
What Tapestry can offer you:
<ul><li>Hybrid working (Tuesday - Thursday working from the office, Monday and Friday working remotely)
</li><li>Option to finish early on a Friday (Flex Fridays)
</li><li>1 paid volunteering day per year and opportunities to volunteer with global projects
</li><li>Learning &amp; development opportunities
</li><li>Internal mobility &amp; career progression
</li><li>Regular social events - seasonal &amp; cultural
</li><li>Equity Inclusion &amp; Diversity initiatives which include employee resource groups &amp; regional inclusion council 
</li></ul> 
Other benefits include:
<ul><li>25 days holiday in addition to bank holidays
</li><li>Annual Incentive Plan (company performance bonus)
</li><li>Multi brand discount up to 50% off &ndash; Coach and Kate Spade.
</li><li>Private healthcare with health assessment (Bupa)
</li><li>Bupa rewards - Financial wellbeing support and wellness discounts
</li><li>Private dental cover
</li><li>Free 24/7 support for family building, fertility and menopause with Maven
</li><li>Eyecare vouchers
</li><li>Employee assistance programme
</li><li>Enhanced employer pension contribution
</li><li>Gym discount
</li><li>Interest free season ticket loan
</li><li>Cycle to work scheme
</li></ul>At Tapestry, we are committed to building a diverse &amp; inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that&rsquo;s ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you.
 
 
Our Competencies for All Employees
 
Courage : Doesn&rsquo;t hold back anything that needs to be said; provides current, direct, complete, and &ldquo;actionable&rdquo; positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
 
Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
 
Customer Focus : Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
 
Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn&rsquo;t upset when things are up in the air; doesn&rsquo;t have to finish things before moving on; can comfortably handle risk and uncertainty.
 
Drive for Results : Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
 
Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
 
Learning on the Fly : Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
 
 
Our Competencies for All People Managers
 
Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
 
Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
 
Building Effective Teams : Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant&rsquo;s or employee&rsquo;s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
 
 
Visit Tapestry, Inc .</div>

Senior Manager, Data Analytics

WPP Media

<div><div>About WPP Media

WPP is the trusted growth partner for the world's leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships &ndash; all united by our pioneering agentic marketing platform, WPP Open &ndash; we help clients navigate change, capture opportunity, and deliver transformational growth.

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.</div>
Manager, Analytics &ndash; Global Clients

This role is within the Data, Tech, and Analytics (DTA) team, within the Global Client Solutions organisation. The Global Client Solutions (GCS) team is responsible for all global clients within WPP. DTA is responsible for servicing clients with best-in-class data solutions, data strategy, analytics, technology and AI solutions to drive client growth. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection.

Who We Are Looking For

We are seeking an Analytics Manager to join our growing Analytics &amp; Data Science team, reporting into the Data Tech and Analytics global lead. The team focuses on media effectiveness measurement, campaign analysis and client communication to help make brands become more valuable to the world. 
 
You will be working with a leading advertiser, JLR, to harness their data and improve the performance of their campaigns, developing and deploying media measurement solutions. Communication with client stakeholders and effective management of assigned tasks is critical in this role. You will be joining an award winning team, with more than 16 tech and media industry awards to our name, including Campaign Magazine's Tech Awards Agency of the Year, Best Use of AI, and Breakthrough Tech as Part of a Campaign awards. 
 
We have invested in giving you the tools to make you as successful as possible, including training/development, full access to Google Cloud Platform and a wider global community of analysts and data scientists. 
 
Some of the things we'd like you to do 

Strategic Analytics Application: Build and apply a deep understanding of marketing objectives to support Account teams with comprehensive measurement and testing plans. To help deliver &quot;best in class&quot; analytical capabilities across the agency with the wider Analytics team, including the use of new methods, techniques, tools and systems. Managing the process through to delivery and taking ownership of global roll out.

Marketing &amp; Business Effectiveness: Lead the creation of clear, robust and thought-provoking campaign reviews and insights, and show the wider team/clients how to improve effectiveness. Deliver insightful campaign reviews with actionable recommendations to improve marketing effectiveness.

Measurement frameworks &amp; Experimentation: Develop deep understanding of marketing platform testing and targeting abilities, and act in a consultative capacity in their implementation. Provide actionable insights and design experiments to optimise campaign performance - focusing on brand and conversion lift studies.

Client Stakeholder Engagement: Build trusted relationships with client's marketing, analytics, and data leads, acting as a knowledgeable and credible day-to-day strategic partner.

Internal Stakeholder Engagement: Manage relationships with data engineering teams and set automation strategies to integrate new tools and solutions.

Commercial Contribution: Support the commercial health of your client account by contributing to the scoping and delivery of high-value analytics projects. Participate in new business pitches, helping to develop data and tech solutions that demonstrate the value of WPP Media's capabilities. Coordinate with third-party vendors for the assessment and management of bespoke measurement solutions, including contracts and SOWs.

Thought Leaderhsip: Translate complex data concepts for stakeholders and contribute to the company's data strategy, promoting data-driven innovation within the media industry.

Skills &amp; Qualifications

At WPP Media, we believe in the power of our culture and our people. It's what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP &amp; WPP Media's shared core values:
<ul>
<li>You will be highly numerate: able to confidently interpret data and apply statistical tests to draw robust conclusions. Holding a degree(s) in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science</li>
<li>Experience in analytics, measurement, data science, or a related field</li>
<li>Knowledge of applying measurement to media campaigns through Meta/Google, through brand and conversion lift studies, matched market tests or otherwise</li>
<li>Well-developed problem-solving skills and the ability to think critically and creatively</li>
<li>Strong understanding of statistics including hypothesis testing, descriptive statistics and distribution theory</li>
<li>Strong communication skills, with the ability to present complex ideas to both technical and non-technical audiences</li>
<li>Able to work independently and as part of a cross-functional team, using project management tools such as Jira/Trello. Ability to project manage analytics projects.</li>
<li>Highly capable at presenting data in a visually engaging and insightful manner that cuts through the noise</li>
<li>Experience in mentorship and management, ability to display empathy in difficult situations and lead by example</li>
<li>Stay up-to-date with the latest industry trends and advancements in data science and analytics</li>
<li>Proficiency in SQL &amp; R/Python, including understanding of packages such as pandas, numpy, scipy &amp; matplotlib.</li>
<li>Strong understanding of what data points can be collected and analysed in a digital campaign, and how each data point should be analysed. Including knowledge of media data and incremental measurement, including both Direct Response and Brand campaigns</li>
</ul><ul><li>Working knowledge of advanced measurement tools including MMM, MTA, Sales Lift, and Brand Studies.</li>
</ul>
#LI-Promoted<div>

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Manager, Analytics - Global Clients

marshmallow

<div>We&rsquo;re on a mission to make migration easy.
We started building Marshmallow in 2017. Since then, we&rsquo;ve grown from 3 to 700+ people, gained unicorn status, raised ~&pound;140M over three funding rounds, turned profitable, insured millions of drivers and lent millions in car loans.
But we&rsquo;re only just getting started. Our goal is to become one of the largest financial services providers in the world. Over the next 10 years we&rsquo;ll grow exponentially, not only by scaling our existing products, but also by building new ones.
To achieve our goals we need incredibly ambitious, commercially driven people who never settle for &lsquo;good enough&rsquo;. Marshmallowers are hungry for autonomy and ownership, and would rather improve than coast. Everyone raises standards and has an impact, with a focus on collective success over self-interest.
We&rsquo;ve created an environment where curious, tenacious people win and grow together. If that sounds motivating, this could be the place for you.<h1 class="jobSectionHeader">
London (hybrid, 3 days in office)</h1><div>
</div><h1 class="jobSectionHeader">
Data Science at Marshmallow</h1>
Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact.
Within Data Science, this role sits in Claims, supporting the function and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Senior Data Scientist who can provide technical expertise across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions.<div> 
</div><h2 class="jobSectionHeader">
What you'll be doing</h2><ul><li>
Build and iterate on multimodal AI models that reduce claims cost and improve claims processing, including models that analyse emails, documents, and claim summaries for operational teams</li><li>
Develop machine learning models that support claims automation, including use cases such as negotiation strategies, litigation strategies, and total loss prediction</li><li>
Explore and evaluate new data sources that could improve model performance and decision-making, such as fraud signals, open banking, and telematics data</li><li>
Design and build agentic AI solutions to automate and streamline claims workflows</li><li>
Collaborate closely with Product, Data, and Engineering teams to test hypotheses, develop new features, and turn ideas into production-ready solutions</li><li>
Work with the MLOps team to improve data science and AI model infrastructure, including deployment, monitoring, evaluation, and feedback loops</li><li>
Help define the right technical approach for problems, balancing speed, quality, and scalability while ensuring solutions are practical for the business</li><li>
Set a strong standard for experimentation, measurement, and model performance, helping the team understand impact, uncertainty, and trade-offs clearly</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time.</li><li>
You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning.</li><li>
You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces.</li><li>
You're motivated by real-world impact, partnering closely with cross-functional teams to drive meaningful automation and better customer outcomes across the claims journey.</li></ul><h2 class="jobSectionHeader">
What You'll Bring</h2><ul><li>
Strong commercial experience delivering end-to-end machine learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring</li><li>
Hands-on experience building and shipping production AI or machine learning systems, including evaluation, quality considerations, and integration into operational workflows</li><li>
Experience working on applied problems involving structured and unstructured data, with an interest in multimodal modelling and AI systems</li><li>
A strong statistical and modelling foundation, with experience working on risk-based decisioning or other complex, uncertain problem domains</li><li>
Proven ability to work cross-functionally with Product, Engineering, Operations, and MLOps to deliver scalable solutions</li><li>
Strong communication and stakeholder management skills, with confidence in discussing trade-offs and pushing back constructively when needed</li></ul><div> 
</div><h2 class="jobSectionHeader">
Perks of the job</h2><ul><li>
Bonus scheme designed to reward high performance</li><li>
Private medical insurance with Vitality, mental health support with Oliva</li><li>
Personal learning budget and 2 dedicated L&amp;D days a year</li><li>
Monthly flexible benefits budget to spend as you choose</li><li>
25 days holiday plus bank holidays</li><li>
4 weeks Work From Anywhere per year</li></ul><div></div> 
We are able to offer visa sponsorship for this position.<div> 
</div><h2 class="jobSectionHeader">
Our process</h2><ul><li>
Initial call with a member from our Talent Team (30 mins)</li><li>
Past Experience interview with Hiring Manager (60 mins)</li><li>
Technical interview with a couple of the team (90 mins)</li><li>
Culture interview (60 mins)</li></ul>
Diversity of thought
We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.</div>

Senior Data Scientist

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>

Data Scientist

<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>

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