associate data scientist

<div>
 
 
 Department:
 
 Data &amp; AI
 
 
 
 Location:
 
 UK - London
 
 
 
 
 Description
 
 
 
 Insurance isn't the first industry most people think of when they imagine interesting data science work. That's exactly why this role is interesting.
 
 
 CFC's Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not demos, not proof-of-concepts sitting on a shelf, but AI agents and Machine Learning (ML) pipelines that drive real business outcomes. The team includes machine learning engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves over time.
 
 
 This is an Associate Data Scientist role designed for someone early in their career who wants genuine exposure to production AI systems from day one. You'll work closely with ML and AI engineers, contributing to discovery work that feeds directly into live services - statistical analysis, feature engineering, LLM evaluation, and the kind of careful, evidence-based thinking that makes the difference between an AI system that works in a notebook and one that holds up under real conditions.
 
 
 The problems are genuinely hard. The data is complex, the decisions are high-stakes, and the domain has the kind of depth that keeps the work interesting. If you want to grow quickly in applied AI and ML - working on real systems, not toy datasets - this is the right environment.
 
 
 
 About the role
 
 
 
 <ul>
 <li>
 Design and run experiments that directly shape production AI agents &mdash; testing ideas, validating approaches, and turning research into deployed improvements.
 </li>
 <li>
 Actively explore cutting-edge developments in AI and machine learning &mdash; with the space and support to experiment, prototype, and bring new techniques into production where they add value.
 </li>
 <li>
 Evaluate and refine LLM-powered workflows &mdash; building robust evaluation frameworks, stress-testing agent behaviour, and driving continuous quality improvements in live systems.
 </li>
 <li>
 Explore complex, real-world datasets to uncover insights that meaningfully improve underwriting decisions and system performance at scale.
 </li>
 <li>
 Prototype and iterate on features for AI/ML pipelines, taking ideas from early exploration through to measurable impact in production services.
 </li>
 <li>
 Investigate how agentic systems behave in production &mdash; identifying edge cases, failure modes, and opportunities to make systems more robust and reliable.
 </li>
 <li>
 Collaborate closely with ML/AI engineers to bridge research and production &mdash; contributing code, debugging issues, and helping ship improvements end-to-end.
 </li>
 <li>
 Document experiments, findings, and methodologies clearly so that insights are reproducible and decisions are traceable.
 
 
 </li>
 </ul>
 
 About you
 
 
 
 We are looking for a Junior Data Scientist who enjoys solving complex problems and turning data into meaningful, real‑world outcomes. In this role, you will work across the full analytical lifecycle, from exploring data and building machine learning models to shaping how insights are communicated and applied across the business. You also play a part in how we responsibly explore and apply emerging technologies such as LLMs, focusing on how they perform and deliver value in practice.
 
 
 You:
 <ul>
 <li>
 combine a strong grounding in statistics with hands‑on technical capability in Python and SQL
 </li>
 <li>
 take pride in producing clear, reliable analysis
 </li>
 <li>
 are thoughtful and detail‑driven, able to communicate effectively with a wide range of stakeholders, and comfortable learning from others while growing your own ownership
 </li>
 <li>
 bring curiosity, ask the right questions and look beneath the surface
 </li>
 <li>
 have experience with Azure, MLflow, or LLM tooling is a bonus, but not expected&mdash;we value mindset and approach just as highly as experience.
 
 
 </li>
 </ul>
 
 Core Values
 
 
 
 
 Love what you do:
 
 
 We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
 
 
 
 Challenge everything:
 
 
 We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
 
 
 
 Have fun, be good:
 
 
 Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
</div>

Associate Data Scientist

<div><h3 class="jobSectionHeader">Description</h3><div> 
Insurance isn't the first industry most people think of when they imagine interesting data science work. That's exactly why this role is interesting.</div><div>
 
CFC's Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not demos, not proof-of-concepts sitting on a shelf, but AI agents and Machine Learning (ML) pipelines that drive real business outcomes. The team includes machine learning engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves over time.</div><div>
 
This is an Associate Data Scientist role designed for someone early in their career who wants genuine exposure to production AI systems from day one. You'll work closely with ML and AI engineers, contributing to discovery work that feeds directly into live services - statistical analysis, feature engineering, LLM evaluation, and the kind of careful, evidence-based thinking that makes the difference between an AI system that works in a notebook and one that holds up under real conditions. 
</div><div>The problems are genuinely hard. The data is complex, the decisions are high-stakes, and the domain has the kind of depth that keeps the work interesting. If you want to grow quickly in applied AI and ML - working on real systems, not toy datasets - this is the right environment.</div><h3 class="jobSectionHeader"> 
About the role</h3> 
<ul>
<li>
Design and run experiments that directly shape production AI agents &mdash; testing ideas, validating approaches, and turning research into deployed improvements.</li>
<li>Actively explore cutting-edge developments in AI and machine learning &mdash; with the space and support to experiment, prototype, and bring new techniques into production where they add value.</li>
<li>Evaluate and refine LLM-powered workflows &mdash; building robust evaluation frameworks, stress-testing agent behaviour, and driving continuous quality improvements in live systems.</li>
<li>Explore complex, real-world datasets to uncover insights that meaningfully improve underwriting decisions and system performance at scale.</li>
<li>Prototype and iterate on features for AI/ML pipelines, taking ideas from early exploration through to measurable impact in production services.</li>
<li>Investigate how agentic systems behave in production &mdash; identifying edge cases, failure modes, and opportunities to make systems more robust and reliable.</li>
<li>Collaborate closely with ML/AI engineers to bridge research and production &mdash; contributing code, debugging issues, and helping ship improvements end-to-end.</li>
<li>Document experiments, findings, and methodologies clearly so that insights are reproducible and decisions are traceable.</li></ul> 
<h3 class="jobSectionHeader">
About you</h3><div> 
We are looking for a Junior Data Scientist who enjoys solving complex problems and turning data into meaningful, real‑world outcomes. In this role, you will work across the full analytical lifecycle, from exploring data and building machine learning models to shaping how insights are communicated and applied across the business. You also play a part in how we responsibly explore and apply emerging technologies such as LLMs, focusing on how they perform and deliver value in practice. 
 
You:</div><ul>
<li>combine a strong grounding in statistics with hands‑on technical capability in Python and SQL</li>
<li>take pride in producing clear, reliable analysis</li>
<li>are thoughtful and detail‑driven, able to communicate effectively with a wide range of stakeholders, and comfortable learning from others while growing your own ownership</li>
<li>bring curiosity, ask the right questions and look beneath the surface</li>
<li>have experience with Azure, MLflow, or LLM tooling is a bonus, but not expected&mdash;we value mindset and approach just as highly as experience.</li></ul> 
<h3 class="jobSectionHeader">
Core Values</h3><div> 

Love what you do: 
We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. 
 
Challenge everything: 
We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better. 
 
Have fun, be good: 
Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.</div><h3 class="jobSectionHeader"> 
About CFC</h3><div>
CFC is a specialist insurance provider, pioneering emerging risk and market leader in cyber. Our global insurance platform uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today's most critical business risk. 
</div><div>Headquartered in London with offices in New York, Melbourne, Sydney, Austin, Madrid, Brussels and Brisbane, CFC has over 1100 staff and is trusted by more than 100,000 businesses across 90 countries. 
</div><div>At CFC, insurance isn't just about underwriting. From data science to software development, and digital marketing design, we've got something for everyone. We're passionate about pushing boundaries, thinking differently and building the insurance company of the future. 
 
CFC is committed to the principles of equal opportunities and creating an environment in which all individuals are always treated with dignity and respect. We encourage a diverse corporate culture of openness and appreciation to create an environment in which your talent can be developed in the best possible way. Should you require any reasonable adjustments at any stage of the recruitment process please let us know.</div></div>

LAW CHOICE RECRUITMENT

<div>
 
 
 Data Scientist &ndash; Leading Law Firm
 
 
 
 A leading law firm is seeking a talented Data Scientist to join its growing data and analytics capability. This is a unique opportunity to work at the intersection of law, data and technology&mdash;helping drive smarter decision-making, improve client outcomes, and unlock the value of data across the business.
 
 
 
 
 
 
 The Role
 
 
 <ul>
 <li>
 Develop and deploy data-driven solutions to support legal and business teams
 </li>
 <li>
 Analyse complex datasets to identify trends, risks and opportunities
 </li>
 <li>
 Build predictive models and machine learning solutions to enhance decision-making
 </li>
 <li>
 Collaborate with stakeholders across the firm to translate business challenges into data solutions
 </li>
 <li>
 Contribute to the firm&rsquo;s data strategy, innovation initiatives and digital transformation
 </li>
 <li>
 Support the development of dashboards and visualisations to communicate insights clearly
 </li>
 <li>
 Ensure data quality, governance and best practices are upheld
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Partner with legal, finance and business services teams to deliver actionable insights
 </li>
 <li>
 Design and implement statistical and machine learning models
 </li>
 <li>
 Work with structured and unstructured data from multiple internal and external sources
 </li>
 <li>
 Optimise data pipelines and workflows for efficiency and scalability
 </li>
 <li>
 Present findings to senior stakeholders in a clear and compelling way
 </li>
 <li>
 Stay up to date with emerging data science tools, techniques and technologies
 </li>
 </ul>
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 Proven experience as a Data Scientist or in an advanced analytics role
 </li>
 <li>
 Strong programming skills (e.g. Python, R, SQL)
 </li>
 <li>
 Experience with machine learning, statistical modelling and data visualisation tools
 </li>
 <li>
 Ability to translate complex data into meaningful business insights
 </li>
 <li>
 Strong communication and stakeholder engagement skills
 </li>
 <li>
 Experience within professional services or a regulated environment is advantageous
 </li>
 </ul>
 
 
 
 
 
 Why Apply?
 
 
 <ul>
 <li>
 Opportunity to shape data-driven decision-making within a leading law firm
 </li>
 <li>
 Work on high-impact, real-world projects with senior stakeholders
 </li>
 <li>
 Collaborative and forward-thinking environment
 </li>
 <li>
 Exposure to cutting-edge tools, innovation and digital transformation initiatives
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to be part of a team transforming how data drives performance in the legal sector.
 
</div>

Data Scientist

Capital One

<div>White Collar Factory (95009), United Kingdom, London, London
Data Scientist / Deep Learning Practitioner
Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level 
Location: London or Nottingham
Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote.
Our Mission
We&rsquo;re on a mission to be a force for good in lending. Throughout our almost 30-year history, we&rsquo;ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK&rsquo;s Best Workplaces&trade; list. Hear from our team about what it&rsquo;s like working at Capital One UK.
About the Role
Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. 
This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models.
What you&rsquo;ll do<ul><li>
Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business.</li><li>
Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation.</li><li>
Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates.</li><li>
Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.</li><li>
Work cross-functionally on projects that support key business initiatives and drive sustainable growth.</li></ul>
The skills and experience you'll need<ul><li>
Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.</li><li>
Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.</li><li>
Familiarity with both pre-training and fine-tuning of large-scale models</li><li>
Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.</li><li>
A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.</li><li>
Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.</li><li>
Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.</li><li>
A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.</li></ul>
Where and how you'll work
This is a permanent position based in our Nottingham OR London office.
We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days.
Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.
What&rsquo;s in it for you
We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to &pound;5,000 in funding for external qualifications.
In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career:<ul><li>
Wealth &amp; Future: Competitive pension and performance-based bonus schemes</li><li>
Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.</li><li>
Health: Access premium care through our private medical insurance.</li><li>
Family Support: We champion your milestones with enhanced parental leave.</li></ul>
A full list of our benefits is available here.
What you should know about how we recruit
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it&rsquo;s about what you do, not just what you say. That&rsquo;s why we make our recruitment process fair and accessible.
We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture&mdash;one that values diverse perspectives, fosters collaboration and encourages innovative ideas&mdash;and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.
Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates.
Capital One is committed to diversity in the workplace.
If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.<div><div><div><div>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div></div></div></div> 
Who We Are 
 
At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. 
 
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.</div>

Data Scientist / Deep Learning Practitioner

Data Idols

<div><h2 class="jobSectionHeader">Senior Data Scientist</h2>
<h3 class="jobSectionHeader">Salary: &pound;85K &ndash; &pound;95K</h3>
<h3 class="jobSectionHeader">Location: London (Hybrid &ndash; 3 days per week)</h3>

Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.

Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they&rsquo;re now looking for a Senior Data Scientist to own one of the most important parts of the company.
<h3 class="jobSectionHeader">
The Opportunity</h3>

This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.

You&rsquo;ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you&rsquo;ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.

You&rsquo;ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.

Working alongside highly experienced founders and recognised experts in machine learning, you&rsquo;ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.

This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.
<h3 class="jobSectionHeader">
Skills &amp; Experience</h3>
<ul><li>Strong commercial experience building machine learning models in Python</li>
<li>Excellent understanding of predictive modelling, classification or propensity modelling</li>
<li>Experience with feature engineering, model evaluation and experimentation</li>
<li>Comfortable working across the full machine learning lifecycle</li>
<li>Experience working with cloud platforms and modern ML tooling</li>
<li>Curious and analytical mindset</li>
</ul>
If you&rsquo;re looking for a role where you&rsquo;ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we&rsquo;d love to hear from you.
<h2 class="jobSectionHeader">
Senior Data Scientist</h2></div><div></div>

Senior Data Scientist

MarketCast

<div>
 
 Junior Data Scientist - Product
 
 
 
 
 London, UK, Reading, UK
 
 
 
 
 Role Impact
 
 
 
 As our Junior Data Scientist - Product, you'll be a pivotal player on our Data Science Product Team, which currently comprises about 15 data scientists with varying levels of seniority.
 
 
 The Junior Data Scientist - Product plays a foundational role in supporting the design, engineering, execution, and delivery of advanced data science projects and market research products at Marketcast. Operating at the intersection of quantitative market research, software engineering, and artificial intelligence, this position focuses on building the backend systems and data pipelines that clean, process, and analyse complex datasets to extract actionable consumer insights. On a daily basis, the Junior Data
 
 
 Scientist assists in writing production-quality code, developing and maintaining data pipelines, implementing machine learning models, and translating analytics into robust, reusable product features under senior guidance. By ensuring high data quality, engineering rigour, and contributing to innovative product features, this individual directly enhances the reliability and scalability of the organisation's media and entertainment analytics.
 
 
 
 We're Looking For
 
 
 
 <ul>
 <li>
 Data Engineering and Pipeline Development &ndash; Design, build, and maintain reliable data pipelines that clean, preprocess, and structure complex quantitative datasets using Python, SQL, pandas, and modern data tooling. This technical processing is performed systematically and reproducibly, with an emphasis on well- structured, version-controlled, and testable code to prepare raw survey and consumer data for downstream statistical models. Ensuring clean inputs and resilient pipelines directly prevents model drift and maintains the reliability of product outputs. Success in this responsibility is defined by the timely delivery of error-free, analytical-ready, and maintainable data pipelines to senior data scientists.
 </li>
 <li>
 Quantitative Analysis &amp; Modelling - Assist in executing statistical analyses, regression modelling, and audience segmentation under the guidance of senior team members, with a strong emphasis on mathematical rigour and a sound understanding of the methods being applied rather than their black-box use.
 </li>
 <li>
 Backend &amp; Software Development - Contribute to the backend services, APIs, and codebases that power our data products, writing clean, tested, and well-documented code under senior guidance. The analyst works within standard software engineering practices - version control, code review, automated testing, and CI/CD - to ship features that are reliable and maintainable rather than one-off scripts. This software-first approach ensures our analytical work translates into durable product infrastructure. Success is measured by code quality, adherence to engineering standards, and the stability of contributions in production.
 </li>
 <li>
 Infrastructure &amp; Deployment - Support the deployment, monitoring, and scaling of data science workloads across our cloud and infrastructure stack (e.g. containers, orchestration, and managed cloud services) under supervision. The analyst helps operationalise models and pipelines so they run reliably and cost-effectively at scale, contributing to the team's MLOps and engineering practices. This focus on robust infrastructure reduces manual intervention and improves the reliability of our products. Performance is evaluated on the stability, reproducibility, and efficiency of deployed workloads.
 </li>
 <li>
 AI &amp; LLM Integration - Support the integration of artificial intelligence APIs, large language models (LLMs), and natural language processing pipelines into existing data products. Under supervision, the analyst helps configure frameworks to streamline analytical workflows, saving dozens of hours of manual coding on client projects. Performance is evaluated on the efficiency, robustness, and classification accuracy of the automated NLP routines.
 </li>
 <li>
 Data Quality &amp; Validation - Execute rigorous quality control protocols across all assigned data products and research databases, including automated tests and validation checks wherever possible. The Junior Data Scientists systematically validate schemas, sample distributions, and statistical weights to verify data integrity, treating data validation as an engineering discipline. This preventative auditing mitigates the risk of reporting flawed conclusions to high-profile entertainment clients. Successful execution is measured by the complete absence of formatting or calculation errors in final delivery files.
 </li>
 <li>
 Client Collaboration &amp; Technical Delivery &ndash; Work closely with product managers, engineers, and senior data scientists in a collaborative, software-development style &ndash; gather requirements, contributing to technical scoping, and participating in agile ceremonies and code reviews.
 </li>
 <li>
 Cross-Functional Initiative Support - Participate actively in company-wide product development initiatives, research-on-research experiments, and technical thought leadership groups. The Junior Data Scientist collaborates across data operations, cloud engineering, product, and engineering departments to support the trial of new analytical and engineering methodologies. This cross-pollination of ideas ensures the product data science team remains at the forefront of marketing science and technical innovations. Engagement in these initiatives is demonstrated by active participation in internal sharing sessions and support for pilot projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We genuinely don&rsquo;t mind what is written on your certificate. While we would love you to have a formal qualification in any discipline that builds strong analytical and problem-solving skills, we primarily care that you're clever, rigorous, and can do the job. Equivalent practical experience - whether self-taught, through bootcamps, open-source contributions, a strong portfolio, or prior industry work - is just as welcome as a formal degree.
 </li>
 <li>
 A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts.
 </li>
 <li>
 A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, and backed by proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of
 
 
 seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 
 
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 
 
 
 Our Values
 
 
 
 
 Move The Needle
 
 
 
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 
 
 
 Client Success is Our Scoreboard
 
 
 
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 
 
 
 Grow Every Day
 
 
 
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 
 
 
 Own It
 
 
 
 Take responsibility for outcomes, not just outputs.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Free movie tickets!
 </li>
 <li>
 29 days annual leave PLUS Bank Holidays
 </li>
 <li>
 Flextime with core hours between 10am and 3pm
 </li>
 <li>
 2 days&rsquo; work from home per week
 </li>
 <li>
 4% match pension scheme
 </li>
 <li>
 Enhanced maternity pay
 </li>
 <li>
 Regular social events in both UK locations
 </li>
 <li>
 Professional growth and career development including LinkedIn Learning
 
 
 </li>
 </ul>
 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 
 
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>

Junior Data Scientist I

Muzz

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

Explore 208+ Associate data scientist in London this July. Find roles across top companies and apply now to boost your career.

208 associate data scientist jobs In London

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