machine learning engineer

data engineer

data scientist

lead software engineer

senior data scientist

data science lead

JMAN Group

<div><p>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.<br>
</p><br>
<h2 class="jobSectionHeader"><b>Position:
</b></h2><p>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.</p><p></p><p><br>
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.</p><p></p><p><br>
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.</p><p></p><p><br>
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.</p><p>
Internally, you will act as a data science standard-setter, helping define best practice, raising the quality bar, and developing others within the team.</p><p></p><p><b><br>
Scope of Work</b></p><p>
Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role:</p><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><p></p><p><br>
~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.</p><p></p><p><b><br>
Core Responsibilities</b></p><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><p></p><p><br>
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.</p><h2 class="jobSectionHeader"><b><br>
Requirements:
</b></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><p>
Beneficial</p><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><p></p><p><b><br>
Specialisms (Data Science&ndash;led)</b></p><p>
We particularly value depth in applied data science areas such as:</p><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"><b><br>
Other information:
</b></h2><p>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.</p><p>
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.</p><p></p><h2 class="jobSectionHeader"><b><br>
Other information</b></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>

Data Science Manager

Frontier Resourcing

<div><div><b>Principal Data Scientist &amp; Machine Learning Researcher
</b></div><div><p>Gloucester | London | Manchester
</p>
<p></p><p>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.
</p>
<p>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.
</p>
<p>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).
</p>
<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
<p></p><p><b>The Opportunity
</b></p><p>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.
</p>
<p>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.
</p>
<p>This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.
</p>
<p></p><p><b>Key Responsibilities
</b></p><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><p></p><p><b>Essential Skills &amp; Experience
</b></p><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><p></p><p><b>Desirable Skills &amp; Experience
</b></p><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><p></p><p><b>What's on Offer
</b></p><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><p></p><p><b>Benefits:
</b></p><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)

Entain

<p></p><div><div><div><div><h2 class="jobSectionHeader"><b>Company Description</b></h2></div><div><p>
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.</p><p>
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.</p><p>
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.</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2></div><div><p>
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.</p><p>
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.</p><p>
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.</p><p><b>
Key responsibilities
</b></p><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><p></p><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><div><p>
Essential</p><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><p>
Desirable:</p><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><p></p><div><div><h2 class="jobSectionHeader"><b>
Additional Information</b></h2></div><div><p>
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.</p><p>
Depending on your role and location, you can expect to receive benefits like:</p><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><p>
Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.</p><p><i>
Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.</i></p></div></div></div>
<div><div><p>
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply</p></div></div>
<div><h2 class="jobSectionHeader"><b>
Job Location</b></h2><div>
Google Maps requires functional cookies to be enabled</div></div></div>

Muzz

<div>
 <p>
  <strong>
   London, UK - Hybrid (Tue, Wed &amp; Thur in Office)
  </strong>
 </p>
 <p>
  <strong>
   &pound;80,000 - &pound;90,000 + equity
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for a smart and ambitious data scientist, with real entrepreneurial flair to join our team and understand our members and all the metrics that matter. Love numbers and love being commercial? This role presents an opportunity to mold the future of the data science team, explore new ideas and new technologies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Muzz is the world&rsquo;s largest Muslim dating and marriage app. We&rsquo;ve got over 15 million members and have helped more than 800,000 couples get married. We&rsquo;re on our way to become the first $1 billion Muslim tech brand - but we need your help!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Day to day
  </strong>
 </p>
 <ul>
  <li>
   You'll be joining a dynamic data science team whose goal is to grow the company and optimize our products as we expand into new markets around the world
  </li>
  <li>
   You'll be understanding our user behaviour on the platform with a view to generating actionable insights in terms of both product and marketing
  </li>
  <li>
   You'll work closely with our product, engineering and growth teams
  </li>
  <li>
   You'll be a proactive self-starter, driving innovation with a product focus
  </li>
  <li>
   You&rsquo;ll be diving into a range of data to solve our highest impact and complex challenges
  </li>
  <li>
   You'll own and evolve the production ML systems behind our personalization and recommendations serving millions of users
  </li>
  <li>
   You'll use AI tools as a core part of how you work and help set how the wider team gets the most out of them
  </li>
  <li>
   You'll raise the bar for the team - mentoring analysts and data scientists, and helping shape our technical standards and roadmap
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   At least 5 years of experience in a Data Scientist or Machine Learning Engineer role
  </li>
  <li>
   Strong Python and SQL knowledge
  </li>
  <li>
   Strong grounding in the statistical methods behind personalization and recommendations models - e.g. embeddings, ranking, collaborative filtering
  </li>
  <li>
   Excellent written and verbal communication skills and presenting to non-technical audiences
  </li>
  <li>
   Commercial mindset with the ability to harness customer insights to optimise our marketing and products
  </li>
  <li>
   Ability to work collaboratively in cross-functional teams
  </li>
  <li>
   Passionate about solving complex and challenging data problems
  </li>
  <li>
   Experience in designing and conducting A/B experiments
  </li>
  <li>
   A proven track record of developing and owning production ML pipelines - including data processing, deployment, monitoring, retraining
  </li>
  <li>
   Demonstrated end-to-end ownership of significant ML projects - from framing the problem to shipping it, and through the messy realities of live performance, edge cases and iteration once real users hit it
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Hands-on experience with recommender systems, with real-time or near-real-time updates and serving
  </li>
  <li>
   Experience in consumer-facing mobile-first products
  </li>
  <li>
   Experience with GCP platform - BigQuery/VertexAI
  </li>
 </ul>
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  <br/>
 </p>
</div>


Senior Data Scientist

BlackRock

<div><div><div><div><p>Locations: <b>London, United Kingdom; Edinburgh, United Kingdom</b></p>
<p>Additional Locations: <b>ED3 - 20 Brandon Street, Edinburgh</b></p></div></div></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p>
<p></p><p>The VP AI Data Engineering Lead operates at the intersection of strategic influence, team leadership, and delivery excellence &mdash; playing a defining role in how AI-powered data and knowledge products are conceived, designed, and executed across the organization.</p>
<p></p><p>He/She/They lead a multi-team organization of AI agent engineers and data scientists &mdash; setting technical and delivery direction, building the team&rsquo;s capability, and holding accountability for the production systems powering the commercialized knowledge products.</p>
<p></p><p>He/She/They function as the most senior bridge between Product Management leadership, business functional stakeholders, and AI engineering &mdash; bringing the technical depth and strategic breadth to influence product vision while holding firm accountability for engineering delivery outcomes across multiple squads.</p>
<p></p><p>He/She/They sets the organizational standard for how product intent gets translated into technical reality, establishing engineering frameworks, authoring principles, and driving the culture of quality, accuracy, and ownership across the broader Product Lead community.</p>
<p></p><p>He/She/They are deeply experienced in the nuances of AI engineering, from agent workflow design and Vision AI evaluation to production validation, output-quality governance, and customer adoption of knowledge products. Beyond the delivery mandate, they are a builder of people and of technical leaders of tomorrow &mdash; developing high-performing teams and creating the conditions for others to do their best work.</p>
<p></p><p>This is a role for a leader who thinks in systems, acts with purpose, and measures their success not just by what ships, but by the commercial credibility and lasting organizational capability left behind.</p>
<p></p><p>Roles &amp; Responsibilities</p>
<ul><li><p>Lead a team of AI agent engineers and data scientists &mdash; setting technical direction, managing delivery, driving performance, developing individual capability across the team, and building the talent bench across the function.</p>
</li><li><p>Own end-to-end solution design &amp; delivery for complex AI features across multiple AI engineering squads building multi-agent, GenAI, and Vision AI workflows &mdash; ensuring consistency, quality, and strategic alignment at scale.</p>
</li><li><p>Drive backlog prioritization at the product-area level, balancing customer value, technical feasibility, AI accuracy expectations, model/vision constraints, and team capacity</p>
</li><li><p>Run sprint planning, team stand-ups, and retrospectives; create the operating rhythm and working environment for engineers and data scientists to do their best work</p>
</li><li><p>Proactively engage and act as the bridge between the Product Management, business stakeholders and AI engineering &mdash; influencing product vision &amp; feature prioritization (definition, scope, and sequencing) from deep understanding of technical possibility and commercial reality influence feature.</p>
</li><li><p>Partner with Product Managers to shape feature roadmaps, bringing technical and AI-specific insight that meaningfully influences what gets built, when, and at what quality bar.</p>
</li><li><p>Drive structured refinement sessions with the team, ensuring stories are technically complete and aligned on solution approach before development begins.</p>
</li><li><p>Define and enforce quality standards for user story delivery &mdash; including extraction accuracy, edge-case coverage, agent behaviour expectations, and non-functional requirements</p>
</li><li><p>Lead post-implementation validation efforts &mdash; coordinating UAT, output-quality reviews, production monitoring, and closing the loop with stakeholders on commercial outcomes</p>
</li><li><p>Support product activation and customer adoption &mdash; translating delivery milestones into customer-facing readiness for data/knowledge product rollout</p>
</li><li><p>Define and champion organization-wide standards for user story authoring, solution design, backlog management, and delivery quality for AI-powered knowledge products</p>
</li><li><p>Lead complex, cross-functional AI initiatives from discovery through delivery &mdash; managing dependencies, risks, and stakeholder expectations across teams.</p>
</li><li><p>Coach and mentor team members, conduct performance conversations, and contribute to hiring decisions for the AI engineering and data science team.</p>
</li><li><p>Establish frameworks for post-implementation validation, output-quality governance, production monitoring, and customer success during product activation and adoption at scale</p>
</li><li><p>Identify systemic delivery bottlenecks and drive process improvements that raise velocity and quality across the product organization</p>
</li><li><p>Build and mentor a high-performing team of AI agent engineers, and data scientists &mdash; driving hiring, onboarding, performance management, and career development at scale</p>
</li><li><p>Shape organizational design, team structure, and operating model for the AI data engineering function as the business scales</p>
</li></ul><p></p><p>Required Skills &amp; Experience</p>
<p><i>Technical Skills</i></p>
<ul><li><p>Minimum 6-8 years of experience in AI Engineering Delivery Lead, or AI Program Lead, or Engineering Manager roles, with at-least 2-3 years operating as AI Engineering Principal within a SaaS, AI, or data-product organization.</p>
</li><li><p>Deep expertise and Proven experience in AI solution design and technical scoping for AI-driven features &mdash; ideally including GenAI, LLM-based capabilities, Vision AI, and multi-agent workflows.</p>
</li><li><p>Strong command of scaled Agile delivery, cross-team dependency management, and delivery governance frameworks, backlog management, sprint planning, and Agile delivery tooling at scale (Jira, Confluence, Miro, or equivalent)</p>
</li><li><p>Ability to engage meaningfully with AI engineers and data scientists on architecture decisions, agent orchestration, prompt design, Vision AI trade-offs, and model behaviour</p>
</li><li><p>Fluency in the AI product development lifecycle &mdash; extraction accuracy, model evaluation, prompt engineering considerations, non-deterministic behaviour, and production monitoring</p>
</li><li><p>Solid understanding of evaluation approaches for AI outputs &mdash; accuracy metrics, ground-truth validation, human-in-the-loop review, and output-quality benchmarking</p>
</li><li><p>Familiarity with unstructured data extraction challenges across document, image, and multimodal inputs.</p>
</li><li><p>Advanced grasp of product analytics, AI output-quality measurement, and outcome-based evaluation frameworks for data/knowledge products</p>
</li><li><p>Deep understanding of responsible AI principles (accuracy governance, data provenance, and user trust as they relate to commercialized AI outputs) and their practical implications for feature design, accuracy governance, customer trust, and regulatory considerations</p>
</li></ul><p></p><p><i>Non-Technical &amp; Interpersonal Skills</i></p>
<ul><li><p>Executive-level communication skills &mdash; able to operate fluidly between engineering stand-ups and boardroom strategy conversations.</p>
</li><li><p>Excellent communication and stakeholder management skills &mdash; able to drive alignment across product, commercial, engineering, and domain-expert audiences</p>
</li><li><p>Strong strategic thinking &mdash; able to connect present engineering decisions &amp; strategy to long-term commercial positioning of AI knowledge/data products.</p>
</li><li><p>Strong analytical and structured problem-solving approach &mdash; breaks down complex extraction and knowledge-structuring problems into clear, actionable paths forward</p>
</li><li><p>Emotional intelligence and people-first leadership style &mdash; able to inspire, coach, and hold a diverse team of engineers and scientists to a high bar; earns trust quickly across diverse stakeholder groups including customers, commercial, and technical teams.</p>
</li><li><p>Business acumen &mdash; understands the fundamentals of financials services industry and/or software/data product business, and how product output quality &amp; timeliness directly affects customer trust and revenue.</p>
</li></ul><p></p><p><i>Leadership &amp; Ownership</i></p>
<ul><li><p>Proven track record of building, leading, and developing teams of engineers, data scientists, or technical specialists in an AI or data product context at scale.</p>
</li><li><p>Demonstrable experience influencing product vision and feature strategy at the leadership level &mdash; shaping what gets built, not just how.</p>
</li><li><p>Experience establishing organization-wide standards, frameworks, and practices that persist beyond individual initiatives.</p>
</li><li><p>Proven ability to set technical direction, manage delivery, and drive accountability across a cross-functional team.</p>
</li><li><p>Track record of mentoring individuals, running performance conversations, and contributing to hiring and team-building.</p>
</li><li><p>Courage to push back on feature scope or timelines when extraction accuracy, reliability, or commercial viability &mdash; or team sustainability &mdash; are at risk</p>
</li><li><p>Proven track record of owning complex AI delivery outcomes end-to-end, including post-launch validation and adoption.</p>
</li><li><p>Hands-on experience with hiring, team design, performance management, and succession planning for technical AI teams.</p>
</li><li><p>Ability to hold the bar on quality and delivery while advocating for the team &mdash; protecting focus, escalating constraints, and making hard prioritization calls</p>
</li><li><p>A builder-of-builders mindset &mdash; measures success by the capability and culture left behind, not just the features shipped.</p>
</li></ul><p></p><p>What This Role Offers</p>
<ul><li><p>Direct leadership of a high performing team of AI agent engineers and data scientists working on commercially impactful AI systems &amp; knowledge product portfolio &mdash; with meaningful autonomy and ownership.</p>
</li><li><p>Direct influence over organizational direction &mdash; working closely with executive leadership on product vision, hiring, and operating model decisions.</p>
</li><li><p>A meaningful seat at the table in shaping product &amp; engineering strategy, feature prioritization, and delivery practices for commercialized AI capabilities</p>
</li><li><p>A platform to build and lead a world-class organization of AI engineers, data scientists, and Product Leads &mdash; creating lasting capability in commercialized AI.</p>
</li><li><p>Direct exposure to emerging AI capabilities &mdash; multi-agent orchestration, GenAI, Vision AI &mdash; applied to real commercial problems at scale.</p>
</li></ul><ul><li><p>A clear path toward head-of-Engineering function leadership roles, with investment in mentorship, external learning, and executive development.</p>
</li></ul><p></p><p><b>Our benefits</b></p>
<p></p><p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>
<p></p><p><b>Our hybrid work model</b></p>
<p></p><p>BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><br>
<p></p><p><br>
<b>Guidance on AI use for candidates<br>
</b></p><br>
<p>At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided <b>guidance</b>( opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.<br>
<br>
</p><br>
<p><b>About BlackRock</b></p><br>
<br>
<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><br>
<br>
<p>This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><br>
<br>
<p>To learn more about BlackRock, please visit Careers.BlackRock.com( opens in new window). We also encourage you to get to know us on LinkedIn( opens in new window), Instagram( opens in new window), YouTube( opens in new window), X( opens in new window), and TikTok( opens in new window).</p><br>
<br>
<p>BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.</p>
</div><div><b>Job Requisition #</b>
<br>
R264955</div></div><p></p>

AI Data Engineering Lead, Vice President

Merlin Entertainments

<div><h2 class="jobSectionHeader"><b>What you'll bring to the team
</b></h2><div><div><div><div><b>Senior Data Scientist</b></div><div><b>
Location:</b> London/Hybrid</div><div><b>
Hours:</b> 37.5 hours per week</div><div><b>
Contract: </b>Permanent - Salaried</div><div></div><div><br>
You are a senior technical authority within the Data Science capability. You are responsible not only for building models, but for defining what should be built, ensuring quality, and bridging the gap between business outcomes and technical delivery.</div><div></div><div><b><br>
Responsibilities:</b></div><ul><li>
Build and deploy predictive models and advanced analytics solutions for high-value use cases.</li><li>
Own the most complex and high-impact modelling problems.</li><li>
Ensure robustness, explainability, and performance of models in production.</li><li>
Define the features and datasets required for modelling.</li><li>
Collaborate with the Lead Data Modeller to shape semantic definitions and structures.</li><li>
Work with Engineering to ensure pipelines support modelling needs.</li><li>
Translate business problems into analytical approaches.</li><li>
Challenge poorly defined requests and drive clarity on outcomes.</li><li>
Communicate trade-offs between model complexity, data availability, and delivery timelines.</li><li>
Establish and enforce best practices for modelling, evaluation, and deployment.</li><li>
Implement peer review processes for models and code.</li><li>
Ensure ethical and responsible use of data and AI.</li><li>
Mentor junior and mid-level Data Scientists.</li><li>
Support capability development and knowledge sharing.</li><li>
Act as a confident voice in shaping Data Science practices.</li><li>
Work closely with the Lead Data Modeller to define &lsquo;Gold&rsquo; data required for analytics.</li><li>
Partner with Data Engineers to ensure model readiness and operational deployment.</li><li>
Align with Delivery Lead on prioritisation and feasibility.</li></ul><p></p><div><div><div><div><div><div><div><div><br>
Merlin - It's where we playMerlin Entertainments</div><p></p><div><div><div>
Merlin Entertainments2.17K subscribers</div></div></div></div></div></div><div></div><div><div><div><div><div>
Watch on</div></div></div></div></div></div></div></div></div><div></div>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications &amp; Experience
</b></h2><div><div><div><ul><li>Degree in a relevant field such as Computer Science, Mathematics or Engineering.</li><li>
At least 4 years of experience in a data science or statistical role with a proven track record of delivering impactful solutions.</li><li>
Experience in developing and deploying machine learning models and statistical analysis.</li><li>
Familiarity with distributed computing tools and cloud platforms (e.g., Azure Synapse, Snowflake, Databricks).</li><li>
Experience with data transformation and analytics tools (e.g., Python, SQL, Spark SQL).</li><li>
Proven ability to work with large datasets and complex data structures.</li><li>
Strong background in applying statistical and machine learning techniques to solve business problems.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Benefits
</b></h2><div><div><div><ul><li>&lsquo;Enjoy the Ride&rsquo; Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones!</li>
<li>Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year&rsquo;s service</li>
<li>33 days holiday (including bank holidays)</li>
<li>Company bonus</li>
<li>Private pension scheme</li>
<li>40% discount online off LEGO</li>
<li>25% discount in our on-site retail shops and restaurants</li>
<li>Ongoing training and development opportunities</li>
<li>Plus, many more&hellip;</li></ul><br>
<div></div>
<div><b>
If you have any questions or if you require any assistance, because of a disability or medical condition, please contact us by email at Recruitment@Merlinentertainments.biz and one of the team will get back to you as soon as possible.</b></div>
<div></div>
</div></div></div><h2 class="jobSectionHeader"><b>Pay Range
</b></h2><div><div><div>Competitive</div></div></div></div>
<br><div>At Merlin we welcome the world to our magical attractions and resorts every day and we want to reflect that same multicultural mix inside our business too. We strive to create an inclusive and diverse workplace where people can be themselves, have the same opportunities and thrive together. Because at Merlin, everyone matters!
<br>
<br>
Together, we work to create a workplace where everyone feels valued, no matter their age, race, gender, disability or sexual orientation. Although we understand that we'll always be learning and growing, we aim to be the most inclusive and flexible employer in our industry.</div>

SENIOR DATA SCIENTIST

Sainsbury’s

<div><div><h1 class="jobSectionHeader"><b>Senior Data Scientist
</b></h1></div><h4 class="jobSectionHeader"><b>Salary: </b><b>Competitive Plus Benefits</b><br>
<b>Location: </b><b>London Store Support Centre and Home, London, EC1M 6HA
</b><br>
<b>Contract type:
</b><br>
<b>Business area: </b><b>Data &amp; Analytics</b><br>
<b>Closing date: </b><b>07 July 2026</b><br>
<b>Requisition ID: </b><b>400067294</b></h4><p></p><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><p><b>Senior Data Scientist &ndash; Nectar360</b></p><br>
<p></p>
<p><b>
Location</b></p>
<p>
London &ndash; Farringdon/Home</p>
<p><b>
Reporting to</b></p>
<p>
N360 Data Science Manager</p><br>
<p></p>
<p><b>
What is it?</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p><br>
<p></p>
<p><b>
What you will do</b></p>
<p>
As a Senior Data Scientist, your key responsibilities will include:</p>
<p>
Solve the hard problems</p>
<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><br>
<p></p>
<p>
Embody and improve best practice</p>
<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><br>
<p></p>
<p>
Be an enthusiastic member of our community</p>
<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><br>
<p></p>
<p><b>
Who you are</b></p>
<p>
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.</p>
<p>
Value delivery</p>
<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><br>
<p></p>
<p>
Data Science expertise</p>
<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><br>
<p></p>
<p>
Production-grade design</p>
<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><br>
<p></p>
<p>
Development and coaching</p>
<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><br>
<p></p>
<p><b>
Essential Criteria</b></p>
<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><br>
<p></p>
<p><b>
Support we will provide</b></p>
<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><br>
<p></p>
<p>
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.</p><br>
<p></p>
<p>
#DataAndAnalytics</p>
<p>
#DataScience</p>
<p>
#LI-CM1</p>
</div></div><div><div><p>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;</p></div></div></div><p></p>

Explore 267+ Data science lead in London this July. Find roles across top companies and apply now to boost your career.

267 data science lead jobs In London

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SENIOR DATA SCIENTIST

Senior Data Scientist