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Lunio

<div><p><b>Data Analytics Manager</b><br>
<b>Reports To</b>: Head of Data Science<br>
<b>Job Level</b>: Manager<br>
<b>Location</b>: UK - Hybrid<br>
<b>Role Type</b>: Full-Time, Permanent</p><h3 class="jobSectionHeader"><b>
Role Purpose</b></h3><p><i>
Lunio helps the world's leading advertisers protect and optimise their media spend, processing and analysing billions of ad interactions. The analytics function plays a critical role in this mission, transforming large-scale data into insights that drive decision-making for both our customers and internal teams.</i></p><p><i>
The Data Analytics Manager will lead the analytics function, combining hands-on analytical delivery with the coaching and development of a small team of analysts. A key focus of the role will be improving the efficiency and impact of the team through automation, AI-assisted workflows and better reporting, reducing avoidable reactive work and creating capacity for higher-value analysis, while fostering a collaborative culture that supports growth, ownership and high-quality delivery.</i></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><b>Team Leadership &amp; Development</b>: Coach, and mentor a team of 2 data analysts, fostering a positive culture where people feel supported and motivated to grow.</li><li><b>Data Service Delivery</b>: Own the day-to-day operation of the analytics service, ensuring requests are effectively triaged, prioritised and delivered to a high standard. Maintain clear workflows and visibility through Jira, enabling effective planning and communication of progress.</li><li><b>Hands-On Analytics &amp; Reporting: </b>Contribute directly to analysis, reporting, dashboard development and experimentation, delivering high-quality analytical outputs that support decision-making across the business. Ensure dashboards and reporting solutions remain accurate, relevant and aligned to stakeholder needs.</li><li><b>Stakeholder Partnership:</b> Build strong relationships across the business, translating stakeholder needs into analytical solutions, managing expectations, and promoting data-driven decision making.</li><li><b>Automation &amp; Continuous Improvement:</b> Identify opportunities to automate repetitive analytical workflows and leverage AI-assisted tooling to improve team efficiency, scalability and impact. Work closely with Data Science and Engineering teams to deliver larger automation and tooling initiatives where appropriate.</li></ul><h3 class="jobSectionHeader"><b>
Skills</b></h3><p><b>
SQL &amp; Python</b></p><p>
Strong SQL and Python skills with the ability to work independently on complex analytical problems and large datasets in cloud data warehouses (e.g. AWS Redshift, Databricks etc.)</p><p><b>
Dashboarding &amp; Reporting</b></p><p>
Strong experience building and maintaining dashboards in BI tools such as QuickSight, Looker, Tableau, or Power BI.</p><p><b>
Statistics &amp; Experimentation</b></p><p>
Solid understanding of statistical concepts (i.e. A/B testing, regression analysis, and experimental design).</p><p><b>
Automation &amp; AI Tooling</b></p><p>
Curious and pragmatic about AI-assisted tooling, has practical experience embedding it to free up analyst time by automating repetitive workflows, not just experimenting.</p><p><b>
Stakeholders Management</b></p><p>
Proven ability to manage competing priorities, triage requests, and communicate effectively with stakeholders across the business, and push back when needed. Comfortable operating ticketing systems such as Jira, managing expectations, and ensuring work is delivered consistently and at a high standard establishing clear SLAs</p><p><b>
Analytical Communication &amp; Storytelling</b></p><p>
Able to turn data into compelling and actionable narratives. Thinks beyond the obvious metrics, identifies meaningful insights and alternative perspectives, and helps stakeholders understand what actions to take.</p><h3 class="jobSectionHeader"><b>
Behaviours</b></h3><p><b>
Autonomy</b></p><p>
Takes ownership of problems from identification through to resolution. Comfortable making decisions independently, seeking guidance when appropriate, and ensuring work progresses reliably.</p><p><b>
Complexity</b></p><p>
Able to structure ambiguous business questions, break down complex problems into manageable components, and apply sound analytical thinking to reach practical conclusions.</p><p><b>
Influence</b></p><p>
Builds trusted relationships across the business, communicates insights clearly, manages expectations effectively, and uses data to support decision-making and drive action.</p><p><b>
Growth Mindset</b></p><p>
Actively seeks opportunities to improve or automate processes, develop new skills, and adopt better ways of working. Encourages learning, experimentation, and continuous improvement within the team.</p><h2 class="jobSectionHeader"><b>
Success Metrics</b></h2><p>
In your first 6 to 12 months, we would expect to see:</p><ul><li>Strengthen the analytics service with clear prioritisation, effective triage processes, strong visibility of work, and consistently high-quality delivery.</li><li>Build strong relationships with stakeholders across the business, becoming a trusted partner who provides timely, actionable insights and manages expectations effectively.</li><li>Identify and implement automation and AI-assisted workflows that reduce manual effort, improve delivery speed, and increase the team's capacity for higher-value analytical work.</li><li>Evolve the reporting framework to better connect business objectives to meaningful metrics. Give stakeholders confidence in the metrics they use, visibility into performance, and early warning signals when performance is at risk, with clear recommendations and follow-up actions when metrics move off track.</li><li>Create a supportive and accountable team environment, helping analysts develop their skills, grow in confidence and deliver high-quality work.</li></ul><p></p><p>
We're committed to building a diverse and inclusive team where people feel valued, supported and able to do their best work. We welcome applications from people of all backgrounds and experiences, and recognise that great candidates don't always meet every requirement listed in a job description. If you're excited about the role and believe you could make a positive impact at Lunio, we'd encourage you to apply.</p></div><p></p>

Data Analytics Manager

Compare The Market

<div><p><b>Data Science Manager
</b></p><p><b>Function: </b>Data &amp; AI Solutions
<br>
<b>Location: </b>Hybrid, London or Peterborough office<br>
</p><p></p><p><b>Curious about what&rsquo;s next?
</b><br>
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
</p><p>At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
</p><p>We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in.<br>
</p><p></p><p><b>We&rsquo;d love you to be part of our journey.
</b></p><p>Compare the Market is at an inflection point. We are shifting from a business that answers data questions to one that builds the intelligence powering our AI systems and platform.
</p><p>As a Data Science Manager in our Data &amp; AI Solutions team, you will lead a team building the models and pipelines that sit at the heart of that platform. Depending on the domain, that might mean understanding in near real-time how hundreds of insurance partners are pricing risk across millions of customer segments, predicting which of our 34 million customers is about to need a better deal, or building the models that power personalisation in our app. These are problems where the answer does not exist in the data yet; your team builds the systems to find it.
</p><p>You will set technical direction, develop your team, and work closely with product, commercial, and engineering colleagues to ensure the intelligence your team builds has a real effect on the business.<br>
</p><p></p><p><b>Some of the great things you'll be doing:
</b></p><p><b>Building Intelligence for Our AI Platform
</b></p><ul><li>Lead your team in building predictive systems that run continuously - always-on models that surface signals and feed our AI platform
</li><li>Design and oversee automated workflows that take model outputs through to decisions and actions
</li><li>Shape how your team approaches AI-powered systems, including where LLMs, retrieval-augmented generation, and multi-step AI patterns add value
</li><li>Ensure every model your team ships connects to a real outcome and has a mechanism to improve over time
</li></ul><p><b>Technical Leadership
</b></p><ul><li>Set the standard for modelling quality, reproducibility and production-readiness across your team - including model monitoring, drift detection and retraining cycles
</li><li>Take ownership of model performance in production: knowing when a system is degrading and having a plan to address it
</li><li>Be hands-on in design sessions, code reviews, and architectural decisions where your input matters
</li><li>Guide your team through a fast-moving tooling landscape: knowing when a classical model is the right call, when an LLM adds value, and when a more orchestrated approach is needed
</li><li>Champion responsible, auditable AI - particularly important in a regulated financial services environment where precision and explainability are non-negotiable
</li><li>Encourage and model the use of AI-assisted development tools within your team, and be actively curious about how automated coding and workflow tools can increase the pace and quality of your team's output
</li></ul><p><b>Stakeholder </b><b>Partnership
</b></p><ul><li>Work closely with commercial, product, and engineering leads to translate strategic priorities into well-scoped data science work
</li><li>Present model outputs in terms of decisions and outcomes, and contribute a credible data science perspective to planning and prioritisation conversations
</li></ul><p><b>Growing Your Team
</b></p><ul><li>Develop your data scientists through regular feedback, technical mentorship, and honest career conversations
</li><li>Contribute to hiring, helping bring in people who combine technical rigour with curiosity and commercial awareness
</li>Contribute to standards and practices across the wider Data &amp; AI Solutions chapter<br>
<li>
</li></ul><p></p><p><b>What we'd like to see from you:
</b></p><p><b>The Essentials
</b></p><ul><li>Experience leading data science teams and delivering ML solutions that run in production
</li><li>Strong Python and modelling fundamentals, sufficient to assess your team's work and contribute directly when needed
</li><li>A track record of taking models beyond the development environment and connecting them to decisions, workflows, or products with a measurable effect
</li><li>Direct experience of model production responsibilities: monitoring, degradation, retraining, and lifecycle management
</li><li>Clear communication; able to make technical work legible to commercial and product audiences
</li>Experience with MLflow, model registries, Databricks, or similar ML lifecycle and platform tooling<br>
<li>
</li></ul><p></p><p><b>Highly Valued
</b></p><ul><li>Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangGraph or LangChain
</li><li>Familiarity with multi-step AI patterns, building systems where models plan, retrieve information, and take sequences of actions
</li>Understanding of experimentation at scale and the infrastructure needed to run it well<br>
<li>
</li></ul><p></p><p><b>Why Compare the Market?
</b></p><p>We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
</p><p>We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
</p><p>If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.</p></div><p></p>

Data Science Manager

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>

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>CAPGEMINI INVENT</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
<p>In a world of globalisation and constant innovation organisations are creating, consuming, and transforming unprecedented volumes of data. We work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It&rsquo;s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your role, you will partner with our clients to deliver outcomes through the application of cutting-edge data science methods.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>In this position you will play a key part in:</p>
<ul><li>Lead delivery of Agentic &amp; Generative AI, Data Science, and Analytics projects, ensuring client expectations are met at every stage.</li>
<li>Inspire clients by demonstrating the transformative potential of Agentic &amp; Gen AI and data science to unlock business value.</li>
<li>Design and implement scalable AI solutions in collaboration with architecture and platform teams.</li>
<li>Mentor and develop data science consultants, championing technical excellence and delivery standards.</li>
<li>Drive business growth by contributing to proposals, pitches, and strategic direction alongside leading client delivery.</li>
</ul><p>As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<ul><li>Business Development &ndash; Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</li>
<li>Internal contribution &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</li>
<li>Learning &amp; development &ndash; Training to support your career development and the skills demand within the company, certifications etc.</li><br>
</ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p>We&rsquo;d love to meet someone with:</p>
<ul><li>Proven experience leading complex data science, Agentic &amp; Generative AI, and analytics projects, delivering value across the ML lifecycle using strong foundations in statistical modelling, natural language processing, time-series analysis, spatial analytics, and mathematical modelling methodologies.</li>
<li>Experience managing the delivery of AI/Data Science projects, gained through roles in either a consulting firm or industry, leading end-to-end client engagements.</li>
<li>A growth mindset with strong collaboration, communication, and analytical skills, able to build and maintain stakeholder relationships and influence effectively within a matrixed consulting environment.</li>
<li>The ability to apply domain expertise and AI/ML innovation to solve client challenges, and present clear, compelling insights to diverse audiences.</li>
<li>A proactive approach to business growth - identifying opportunities, contributing to proposals and pitches, fostering client trust, and supporting others&rsquo; professional development within the organisation.</li>
</ul><p>Working knowledge in one or more of the following areas:</p>
<ul><li>Cloud data platforms such as Google Cloud, AWS, Azure, and Databricks.</li>
<li>Programming languages such as Python, R, or PySpark.</li>
<li>Agentic &amp; Generative AI platforms such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI GPT-5 Agents, Orby AI, and Beam AI.</li>
<li>DevOps and MLOps principles for production AI deployments.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU'LL LOVE ABOUT WORKING HERE</b></h2>
</div><div><p>Data Science Consulting brings an inventive quantitative approach to our clients&rsquo; biggest business and data challenges to unlock tangible business value by delivering intelligent data products and solutions through rapid innovation leveraging AI. We strive to be acknowledged as innovative and industry leading data science professionals and seek to achieve this by focusing on three area of the data science lifecycle:</p>
<ul><li>Exploring the art of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies.</li>
<li>Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts into practical solutions that democratise access and maximise business advantage for our clients.</li>
<li>Scaling AI from lab to live by defining and implementing responsible AI design principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making.</li><br>
</ul><p></p><p>To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant#levels-of-national-security-c&hellip;
<br>
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.</p>
<p>Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
<br>
Some posts are restricted to sole UK Nationals for security reasons; therefore you may be asked about your citizenship in the application process.</p><br>
</div></div><p></p><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.
<br>
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p><br>
</div></div><p></p><div><div><h2 class="jobSectionHeader"><b>CSR:</b></h2>
</div><div><p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p>
<p>Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p>
<p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p><br>
</div></div><p></p><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><div><p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of &euro;22.5 billion.
</p></div><div><p>Make it real. | www.capgemini.com</p></div></div></div></div></div></div></div></div>

AI & Data Science Manager / Senior Manager

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>CAPGEMINI INVENT</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients&rsquo; challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
<p>Join our Data &amp; AI Strategy team and be part of the future of AI consulting, where we&rsquo;re not just advising clients, we&rsquo;re actively disrupting traditional consulting models by embedding AI into every aspect of how we work.
<br>
We&rsquo;re looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You&rsquo;ll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you&rsquo;ll be working at the cutting edge of what&rsquo;s next.</p>
<ul><li>We <b>DESIGN</b> next-generation data, analytics and AI platforms &ndash; You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).</li>
<li>We <b>ENABLE</b> hybrid cloud transformation &ndash; You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.</li>
<li>We <b>INNOVATE</b> with AI-driven data solutions &ndash; You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.</li>
<li>We <b>AUTOMATE</b> for speed and reliability &ndash; You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).</li>
<li>We <b>ADVISE</b> on enterprise data strategy &ndash; You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.</li>
<li>We <b>DELIVER </b>impact through design excellence &ndash; You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.</li>
<li>We <b>SUPERCHARGE</b> delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.</li><br>
</ul><p><br>
As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:
</p><ul><li>Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</li>
<li>Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</li>
<li>Learning &amp; development - Training to support your career development and the skills demand within the company, certifications etc.</li>
</ul><p>You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data.
<br>
We are looking for exceptional Data Platform Architecture &amp; Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p>As a member of the Data &amp; AI Strategy Team you&rsquo;ll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You&rsquo;ll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.
<br>
Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point &ndash; we want to build a team which has diverse backgrounds, perspectives and strengths.</p>
<p>Key Skills</p>
<ul><li>Growth mindset and curiosity - You&rsquo;re always learning, experimenting with new technologies, and pushing the boundaries of what&rsquo;s possible.</li>
<li>Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations.</li>
<li>Excellent communication and collaboration skills - You&rsquo;re confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives.</li>
<li>Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.</li>
</ul><p>Technology &amp; Consulting Experience</p>
<ul><li>Strategic Leadership in Data, Analytics &amp; AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation.</li>
<li>Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience.</li>
<li>Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others.</li>
<li>Certifications &amp; Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures.</li>
<li>Infrastructure &amp; Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases.</li>
<li>Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric.</li>
<li>Migration &amp; Transformation: Experience migrating legacy systems to cloud-native data stores.</li>
<li>Consulting &amp; Commercial Acumen &ndash; Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships.</li>
<li>SC Cleared / Eligible</li>
</ul><p>Desirable Experience</p>
<ul><li>Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport.</li>
<li>Knowledge of cloud cost management tools and best practices to optimise spend and maximise value</li>
<li>Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU'LL LOVE ABOUT WORKING HERE</b></h2>
</div><div><p>We are delighted to have received the &ldquo;Glassdoor Best Places to work UK&rsquo; accolade for 5 consecutive years, to see what it&rsquo;s like to work at Capgemini Invent, visit our Glassdoor page</p>
<ul><li>A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling programs.</li>
<li>Opportunity to lead high-visibility, cutting-edge client engagements in the data &amp; AI space, shaping how organisations extract value from data.</li>
<li>Flexible working, comprehensive benefits and a culture of collaboration, innovation and growth.</li>
<li>The chance to step into a leadership journey, influencing strategy and building a high-performing team in a major global consulting firm.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work.
<br>
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
<br>
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>CSR</b></h2>
</div><div><p>We&rsquo;re committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn&rsquo;t just a statement; it&rsquo;s a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World&rsquo;s Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.</p>
<p>Your base location will be London, Manchester, or Glasgow, but flexibility is essential. These roles may require travel and short-notice assignments away from home.
<br>
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</p></div></div></div></div></div></div></div>

Manager / Senior Manager - Data Management

Kingfisher

<div>Overview:
<p>
We&rsquo;re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&amp;Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement.</p><p>
Join Kingfisher as our Digital Analytics Manager and help shape data-driven digital experiences that support our purpose: Better Homes, Better Lives, For everyone. You&rsquo;ll lead a hard-working team to deliver actionable insights, empower colleagues, and drive innovation across our Group and Banner functions.</p>
What's the job?:
<ul><li>Lead and develop a diverse team of digital data experts, supporting their growth and delivering high-quality analytics</li><li>
Build and enhance self-serve analytics capability, enabling stakeholders to access and use data effectively</li><li>
Develop and evolve the digital data roadmap, ensuring it drives business objectives and continuous improvement</li><li>
Empower the team to deliver insights that drive data-led optimisation and measurable improvements across Group and Banner functions</li><li>
Collaborate with Data Science, AI, Engineering, and Measurement teams to deliver analytics and reporting for key initiatives</li><li>
Champion best practices in digital data, embedding analytics and systematic experimentation into our ways of working</li><li>
Work closely with stakeholders to understand challenges and opportunities, fostering a culture of curiosity, agility, and collaboration</li></ul>
What you'll bring:
<ul><li>Experience leading a mixed-level team, supporting their analytical, commercial and professional development</li><li>
Significant expertise in digital analytics for eCommerce and digital products</li><li>
Proficient in Google Analytics and has experience reporting packages (Data Studio, Power BI, Tableau), databases (SQL) and Web Tagging (Google Tab Manager)</li><li>
Strong statistical analysis skills and experience with relevant packages (Excel, SPSS, SAS etc)</li><li>
Clear communicator with a track record of delivering compelling, action-oriented insights to senior stakeholders</li><li>
Ability to manage and prioritise team demand, with the confidence to positively challenge and influence stakeholders where required</li></ul><div><b>
How We Work</b><br>
We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average, around 60% of your time will involve in-person collaboration.</div><div>
We value the perspectives new team members bring and encourage you to apply - even if you don&rsquo;t meet 100% of the requirements.</div><div></div><div><b><br>
What We Offer</b><br>
An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity &amp; Inclusion at Kingfisher <b>here</b><b>.</b><b> </b>We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits.</div><div></div><div><b><br>
Diversity &amp; Inclusion</b><br>
Our customers come from all walks of life - and so do we. We&rsquo;re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.</div><div></div><div><br>
Interested? Great, apply now and help us to Power the Possible.</div><div></div><div><br>
#LI-JK1</div></div><p></p>

Digital Analytics Manager

FE fundinfo

<div><p>FE fundinfo is a leading financial data provider, connecting the investment industry across the UK, Europe, and Asia-Pacific through an integrated platform. Our skilled team empowers clients with data-driven insights, making the industry Navigate Complexity with Confidence! We are currently recruiting for a Product Manager to join our team in UK.</p><p>
We are hiring a new wave of product managers to lead AI-first pods, solving real customer problems at pace. You will not inherit a backlog. You will set direction, ship fast, and help pilot the future operating model for the whole product organisation.</p><p><b>
Your key responsibilities as a AI Product Manager will be to:</b></p><ul><li>
Owning and driving the product roadmap for an AI‑first squad, delivering market‑leading AI‑powered solutions.
</li><li>Identifying, validating, and prioritising customer problems through research, interviews, and data‑driven insights.
</li><li>Translating product vision into clear requirements, delivery plans, and measurable success metrics.
</li><li>Working closely with engineering, data science, design, and commercial teams to deliver products end‑to‑end.
</li><li>Championing AI‑first ways of working and influencing stakeholders to embed AI adoption across the business.
</li><li>Successfully commercialising AI products in a B2B environment to deliver measurable customer and business value.</li></ul><p><b>
To join us as a AI Product Manager you will need the following experience and skills:</b></p><ul><li>
You will have a proven track record of building and launching AI‑driven products end‑to‑end.
</li><li>You will bring strong experience in B2B product management, including commercialising new solutions.
</li><li>You will have experience working in fast‑moving, agile squads or start‑up‑like environments.
</li><li>You will be highly skilled at uncovering customer needs and translating them into impactful product outcomes.
</li><li>You will demonstrate strong prioritisation, problem‑solving, decision‑making, and cross‑functional collaboration skills</li></ul><p>
<b>Why this role:</b></p><ul><li><b>
Lead a pod with a clean sheet</b>. This is not a BAU backlog. You will be handed real customer problems and the latitude to think fresh, set direction, and ship at pace. We are hiring product managers who want to lead, not coordinate.</li><li><b>
Shape an AI-first reimagining of the business</b>. We are deep into reinventing how we serve clients and build products through an AI-first lens. Your pod is central to that work, not adjacent to it.</li><li><b>
Pilot the future operating model</b>. How your pod runs becomes the template for how the whole product organisation runs. The work you do shapes the company, not just the roadmap.</li><li><b>
Real customers from day one</b>. Investment managers, wealth platforms, and 3,900+ UK advice firms already use our products every day. No cold start, no waiting for adoption to arrive.</li><li><b>
Data others cannot replicate</b>. 7m fund data points, 2m active portfolios, 550k+ regulatory documents a year, 75+ jurisdictions. What you build is genuinely differentiated because the inputs are.</li><li><b>
A mature business behind you</b>. FE fundinfo is 30+ years old, 1,200+ people, profitable, and trusted across the industry. You can take ambitious bets without worrying about runway.</li><li><b>
A direct line to the people making the call</b>. Senior leadership is hands-on with this transformation, not delegating it. Decisions move quickly and the work has real visibility.</li></ul><p><b>
By joining the team as a AI Product Manager, you will be offered the following:</b></p><ul><li>
25 days of annual leave with the option to buy an extra 5 days each year.</li><li>
Benefit from enhanced paternity, maternity, and shared parental leave.</li><li>
Secure your future with our pension scheme.</li><li>
Advance your career with sponsored learning and development, including formal qualifications.</li><li>
Private medical insurance as employee wellbeing matters</li><li>
Stay fit with discounted gym memberships.</li><li>
Take advantage of the Bike to Work scheme for eco-friendly commuting.</li><li>
Keep your eyes sharp with eye care and flu jab services.</li></ul><p></p><p><b><br>
Apply today for immediate consideration and we will endeavour to get back to you within 5 working days. Visit our </b><b>Glassdoor</b><b> profile or </b><b>fefundinfo.com</b><b> to find out more about life @ FE fundinfo!</b></p></div>

AI Product Manager

Explore 954+ Data manager in London this July. Find roles across top companies and apply now to boost your career.

954 data manager jobs In London

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Digital Analytics Manager

AI Product Manager