data science 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>

Arch Insurance (UK) Limited

<div>
 With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
 <br/>
 <br/>
 Job Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Work closely with business partners to understand the business problems they are trying to solve and help develop and prioritize the best-suited analytics solutions.
  </li>
  <li>
   Collaborate in cross-functional teams and share ideas to solve complex business problems.
  </li>
  <li>
   Build strong partnerships with peers across the organization to support project goals and boarder team needs.
  </li>
  <li>
   Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches.
  </li>
  <li>
   Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive business decisions.
  </li>
  <li>
   Discover, explore and analyse internal and external datasets for the purpose of developing advanced analytics models.
  </li>
  <li>
   Help establish best practices and repeatable processes for the Strategic Analytics team.
  </li>
  <li>
   Provide thought leadership on new, innovative techniques, approaches and software.
  </li>
  <li>
   Guide, support, mentor and develop the growing team of predictive modelers and data scientists.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Skills/Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining.
  </li>
  <li>
   Data manipulation and analytical skills in languages such as Python and SQL.
  </li>
  <li>
   Knowledge of modern visualization tools such as PowerBI is a plus.
  </li>
  <li>
   Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.
  </li>
  <li>
   Effective task / project management and general organization skills.
  </li>
  <li>
   Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization.
  </li>
  <li>
   Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners.
  </li>
  <li>
   Natural curiosity to understand the world around you and question as needed.
  </li>
  <li>
   Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces.
  </li>
  <li>
   Ability to apply critical thinking and creative problem-solving skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills/Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in advanced analytics roles, a significant portion of which should be in the insurance industry.
  </li>
  <li>
   Experience working in an analytical role within a London Market insurance environment is an significant advantage.
  </li>
  <li>
   Hands-on experience developing and deploying real-time predictive models in the London Market.
  </li>
  <li>
   Experience delivering business value from small or non-standard data sets.
   <br/>
   <br/>
  </li>
 </ul>
 Education
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 <ul>
  <li>
   Degree in statistics, mathematics, computer science, engineering or similar quantitative &filig;elds; or signi&filig;cant experience in advanced data analytics.
   <br/>
   <br/>
  </li>
 </ul>
 Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn&rsquo;t the right fit but you&rsquo;re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch&rsquo;s Talent Acquisition team.
 <br/>
 <br/>
 14101 Arch Europe Insurance Services Ltd
</div>


PrizePicks

<div><div><p>At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?</p></div><p>
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development &amp; causal inference, to enable better &amp; more rapid decision making.</p>
<h1 class="jobSectionHeader"><b>
What you'll do:</b></h1>
<ul><li>Lead a team of data scientists, covering topics across retention and acquisition marketing</li>
<li>Oversee the development &amp; maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution</li>
<li>Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes</li>
<li>Integrate LLMs into data &amp; operations workflows, to increase throughput &amp; scale across domains</li>
<li>Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team</li>
<li>Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made</li>
<li>Collaborate with senior leadership, to align marketing data science effort with overall company &amp; marketing goals</li>
</ul><h1 class="jobSectionHeader"><b>What you have:</b></h1>
<ul><li>7+ years of experience in data science &amp; analytics</li>
<li>5+ years of experience in a marketing, customer, or revenue data-related role</li>
<li>3+ years of experience managing or mentoring data scientists, analysts, or engineers</li>
<li>Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred</li>
<li>Proven experience in building and implementing production-grade machine learning models in an operations support capacity</li>
<li>Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes<br>
</li>
<li>Exceptional communicator, with experience presenting to senior leadership</li>
<li>Ability to influence cross-functional partners (Marketing, Finance, Product)</li>
<li>Comfortable balancing hands-on work with team leadership</li>
<li>Technical Skills
<ul><li>Strong statistical proficiency</li>
<li>Python for statistical computing, model development, and data visualization</li>
<li>Advanced SQL</li>
</ul></li></ul><h1 class="jobSectionHeader"><b>Where you'll live:</b></h1>
<ul><li>While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote</li>
</ul><h1 class="jobSectionHeader"><b>Working at PrizePicks:</b></h1>
<p>
The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.</p>
<p>
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.</p>
<p>
Date Posted: 5/11/2026</p>
<p>
First Extension: 6/11/2026</p><p></p><div><h1 class="jobSectionHeader"><b><br>
Benefits you'll receive:</b></h1>
<p>
In addition to your great compensation package, full-time employees will be eligible for the following perks:</p>
<ul>
<li>Company-subsidized medical, dental, &amp; vision plans</li>
<li>401(k) plan with company match</li>
<li>Annual bonus</li>
<li>Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)</li>
<li>Generous paid leave programs, including 16-week paid parental leave and disability benefits</li>
<li>Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked</li>
<li>Company-wide in-person events and team outings</li>
<li>Lifestyle enhancement program</li>
<li>Company equipment provided (Windows &amp; Mac options)</li>
<li>Annual performance reviews with opportunities for growth and career development</li>
</ul>
<p><b>You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.</b></p>
<p><i>
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</i></p></div></div>

Senior Data Science Manager - Marketing Science

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

Booking.com

<div>Role Description:
<p><b>
N.B. This role does not come with relocation assistance , therefore candidates must be currently based in the UK in order to be considered.</b></p><p></p><p><b><br>
Job Title: Senior Data Science and Analytics Manager</b></p><p><b>
Role location: Manchester, UK</b></p><p></p><p><b><br>
Role Description:</b></p><p></p><p><br>
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.</p><p></p><p><br>
Trips is looking for a Senior Manager of Analytics &amp; Data Science Insights to lead a team of data scientists and analysts to help continue data driven decision making in the domain. This role will be responsible for the oversight of the quality of analysis, insights and experimentation for this domain. This Role will also sit on the Trips Data &amp; DSnA leadership team and report to the Director of Data</p><p></p><p><br>
As a manager of managers you will develop a broad data science strategy for your teams, across a data product portfolio with high technical and organisational complexity. You are accountable for the craft excellence in your teams' delivery, aligned with company-wide DS&amp;A requirements. You create outsized business impact through craft-based synergies among your various teams. You are a champion of your team members' personal development and career growth.</p><p></p><p><b><br>
Key Job Responsibilities and Duties:</b></p><ul><li><p>
Translate and communicate the vision of leadership to team members and build the Data Science and Analytics roadmaps for teams in your scope</p></li><li><p>
Manage the managers of a team of data scientists and a team of analysts</p></li><li><p>
Manage stakeholders in both product and technology teams</p></li><li><p>
Facilitate the prioritization of the workload of the teams and ensure high quality of output</p></li><li><p>
Drive implementation and deployment of complex projects across Trips Data, with a particular focus on BTL</p></li><li><p>
Align with centralised data science, Analytics and data quality efforts across Booking.com</p></li><li><p>
Champion and deliver compliance within your remit working closely with Trips Data Governance</p></li><li><p>
Align with data infrastructure teams and analytics leaders across other business units to share knowledge and collaborate</p></li><li><p>
Coordinate metrics alignment within and beyond Trips, including Trips level aggregation and insights</p></li><li><p>
Ensure high quality experiments are being run, and strive for continuous rigor in experimentation</p></li><li><p>
Play an active role in the overall Data Leadership team</p></li></ul><p><b>
Qualifications &amp; Skills:</b></p><ul><li><p>
Proven experience as manager, plus experience managing managers and managing complex teams in a multidimensional environment</p></li><li><p>
Driven and results oriented personality</p></li><li><p>
Open to feedback and always looking for ways to improve own performance</p></li><li><p>
Exceptional analytical skills, with proven track record of applying analytics and data science skills to solving complex business problems</p></li><li><p>
Think strategically to identify areas where data science and analytics can make a significant impact on the business</p></li><li><p>
Able to understand details while keeping an eye on the bigger picture.</p></li><li><p>
Able to spot opportunities to drive business growth from their craft.</p></li><li><p>
Analytical and curious mindset</p></li><li><p>
Strong interpersonal skills</p></li><li><p>
Expertise and experience on data analysis.</p></li><li><p>
Expertise in data management, data visualization and quality.</p></li><li><p>
Strong communication skills to work with senior business leaders</p></li><li><p>
Demonstrated ability to build strong relationships with customer and partner teams</p></li><li><p>
Proven ability to manage multiple competing priorities simultaneously</p></li><li><p>
Demonstrated ability to hire, manage, and develop a team</p></li></ul><p><b>
Desirable Skills:</b></p><ul><li><p>
Lives and breathes data and analytics</p></li><li><p>
Has a proven track record of leading analytical and data science organizations in large businesses</p></li><li><p>
Is a servant leader, an experienced mentor and passionate about people</p></li><li><p>
Has experience measuring, managing and driving behavioural change through the use of data and analytics in order to support stronger decision making</p></li><li><p>
Has a strong working knowledge of end to end data lifecycles and strategy</p></li><li><p>
Works well with Senior Stakeholders to understand what the business is trying to achieve and use data metrics and insights to accelerate, shape and measure</p></li></ul><p><b>
Benefits &amp; Perks: Global Impact, Personal Relevance</b></p><p></p><p><br>
Booking.com&rsquo;s total rewards philosophy is not only about compensation but also about benefits. Our rewards are aimed at making it easier for you to experience all that life has to offer &mdash; all the messy, beautiful, and joyful bits &mdash; on your terms. So you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:</p><ul><li><p>
A great, brand new office to in the heart of Manchester</p></li><li><p>
Free breakfast and lunch</p></li><li><p>
25 days&rsquo; paid holiday plus bank holidays (rising to 28 days after 3 years of service)</p></li><li><p>
Health &amp; well-being benefits such as mental health support, access to health insurance, etc.</p></li><li><p>
Employer contribution pension</p></li><li><p>
Industry-leading parental leave and adoption leave</p></li><li><p>
Great discounts on accommodation, car rentals and other group benefits</p></li><li><p>
From day one of your employment with us, we offer 22 weeks&rsquo; fully paid leave for all new parents, regardless of gender or the way you become a parent</p></li><li><p>
Carer&rsquo;s leave. 10 days&rsquo; fully paid leave per year for colleagues who are caring for ill family members.</p></li><li><p>
Hybrid Working (UK): We believe in office attendance at least 40% of your time whilst empowering you with the flexibility to plan where to do your best work.</p></li></ul><p><b>
Inclusion at Booking.com</b></p><p></p><p><br>
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</p><p>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</p></div>

Senior Data Science & Analytics Manager

Confidential Government

<div>
 <p>
  We are seeking a skilled
  <strong>
   Data Analytics Manager
  </strong>
  to lead our data analytics team, driving insights and supporting data-driven decision-making across the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead and manage the data analytics team to deliver actionable insights.
  </li>
  <li>
   Design, implement, and maintain data models, dashboards, and reporting tools.
  </li>
  <li>
   Collaborate with business units to understand analytics needs and translate them into solutions.
  </li>
  <li>
   Analyze complex datasets to identify trends, patterns, and opportunities.
  </li>
  <li>
   Ensure data quality, integrity, and governance across analytics initiatives.
  </li>
  <li>
   Present insights and recommendations to senior management to support strategic decisions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in data science, Statistics, Computer Science, or a related field (master&rsquo;s preferred).
  </li>
  <li>
   7+ years of experience in data analytics, with at least 3 years in a managerial role.
  </li>
  <li>
   Strong knowledge of data visualization tools (e.g., Power BI, Tableau) and analytics platforms.
  </li>
  <li>
   Proficiency in SQL, Python, R, or similar analytics languages.
  </li>
  <li>
   Excellent leadership, communication, and problem-solving skills.
  </li>
 </ul>
</div>


Data Analytics Manager

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