New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London.

Make your application after reading the following skill and qualification requirements for this position.

• 
  
• Must have active enhanced DV Clearance

Junior to Lead levels available

£45k to £95k DoE plus 15% clearance bonus

Must be willing to be full-time on-site in Central London

Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy

Who are we?

We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture.

What will the Data Scientist be doing?

Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment.

Key Skills and Requirements

• 
  
• Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.

Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.

Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.

Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.

Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.

To be Considered:

Please either apply by clicking online or emailing me directly at For further information please call me on or I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. xwwtmva Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.

KEY SKILLS:

Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

About Jupiter

Jupiter is one of the UK’s leading investment management companies with just under 500 employees and £54 billion worth of assets under management (as at 31st December 2025). 

Jupiter provides investment services to individual and institutional investors through mutual funds (UK unit trusts, Luxembourg SICAVs and Dublin OEICs), separately managed accounts and sub-advised funds. Jupiter has experienced a period of international growth with offices open in EMEA and APAC.

The majority of our employees are based in our London office located just minutes from Victoria station which provides stair-free access from both the Underground’s Victoria line and National Rail platforms, as well as limited road crossings to the Jupiter office. Our London office was designed to encourage employees to live active, healthy lives with floor-to-ceiling windows that allow for greater natural light and the benefit of a private balcony, table tennis room, cycle storage and on-site shower and locker facilities. The short distance to Green Park and St James' Park also provides employees with a natural space to relax during their lunch break and a healthy alternative to office-based meetings. 

We offer our UK employees a 3:2 hybrid working arrangement where Tuesdays, Thursdays and a third day of your choice are worked from the office. The other two days may be worked from home.  This facilitates collaboration and allows employees to maximise productivity whilst maintaining a healthy work/life balance.

Background

We are seeking a highly capable and collaborative Data Scientist. This role will be responsible for furthering the team's data strategy by focusing on statistical modelling, generating actionable investment insights, and carrying out alternative data research. You will work in a dynamic environment that values curiosity, communication, and practical impact

Key Responsibilities

• Working with alternative data sources to identify alpha signals not captured by traditional market data.
• Build predictive models using varied data sources.
• Build and maintain reproducible data science processes and tools in Python and SQL, ensuring clarity and scalability.
• Dedicate a portion of time to research initiatives - identifying novel approaches to existing processes.
• Work directly with investment professionals to identify opportunities, develop hypotheses, and deliver data-driven solutions that enhance investment decision-making.
• Create compelling visual and written narratives that communicate complex findings clearly to less technical stakeholders.
• Work with data engineers and data analysts to conduct exploratory data analyses and to assist in the data cleansing and pipeline processes.
• Contribute to the development of best practices for data access, documentation, and reproducibility across the team.

Desired Skills / Experience

• At least three years of relevant experience in data science.
• Strong statistics and/or machine learning background.
• Highly proficient in Python (including packages such as pandas, NumPy, SciPy, matplotlib/seaborn) and SQL for data manipulation and analysis.
• Demonstrated interest in financial markets and fundamental investing.
• Experience with cloud-based data tools (ideally Azure).
• Familiarity with large language models (LLMs) and their practical applications.
• Strong communication skills and the ability to engage confidently with stakeholders across the business, especially investment teams.
• Experience working with company fundamentals data feeds from major market data provider(s).
• Familiarity with alternative data sources and a keen interest in expanding this capability.
• A track record of applying data-driven methods to financial, economic, or business problems, ideally within an asset management, hedge fund, or investment-focused environment.
• Experience with business intelligence platforms (ideally Power BI).
• Degree in a quantitative/STEM discipline.
• Interest in working towards IMC or CFA qualification.

Additional Role Details

• This role is subject to the Conduct Rules set by the FCA.

Don’t meet every requirement? At Jupiter we are dedicated to building a diverse and inclusive workplace, so if you are interested in this role, but don’t think your experience aligns perfectly with every listed requirement in the job description, we would encourage you to apply. You may be the right person for this role.

Data Scientist

Do you have the skills to fill this role Read the complete details below, and make your application today.

London or Leicester (2 days per week)

Join a growing Data Science team where you'll build machine learning solutions that directly influence customer engagement, retention, and commercial performance. This is a highly visible role with significant stakeholder exposure and the opportunity to work on both strategic initiatives and high-impact business challenges.

The Role

• 
  
• Build and improve machine learning models focused on retention, engagement, customer lifetime value, and forecasting

Develop anomaly detection solutions to identify issues impacting customer journeys and performance

Design and evaluate experiments, including A/B testing

Partner with Product, Marketing, Finance, CRM, and Commercial teams to solve business problems

Translate complex analysis into actionable recommendations for stakeholders

Your Skills & Experience

• 
  
• Strong commercial Data Science experience in customer, marketing, ecommerce, loyalty, or subscription xwwtmva environments

Advanced Python and SQL skills

Experience building predictive models and deploying data-driven solutions

Strong understanding of experimentation, statistics, and machine learning

Excellent stakeholder management and communication skills

Experience with Databricks and ML lifecycle tools is beneficial

At HRUK we leverage data science and actuarial expertise to support pricing, risk management and strategic decision-making.

This is a 3 year FTC and the role holder will develop and embed data science tools and techniques to quantify mortality and morbidity risk, directly supporting pricing and assumption setting. This involves building data analytics infrastructure (i.e. R packages, databases and Apps), using version control and DevOps practices (e.g. Git-based workflows), and applying data science techniques to internal and client datasets to generate robust, well-documented, decision-ready insights. 

The role will be highly collaborative, working closely with the Data Science Lead, biometric research actuaries, UK business development and the global Hannover Re data science community. There is scope to be involved in various internal expert networks and attend internal and external conferences. 

The ideal role holder will be creative, intellectually curious, versatile, show initiative and be able to translate complex analysis into clear business insights. The role is designed to develop a broad combination of technical, commercial and stakeholder management skills. Through exposure to a variety of projects and collaboration across the company, the successful candidate will build a versatile skill set that can support a range of future career directions.

Duties & Responsibilities:

About You:

Qualifications Required:

Experience:

Skills:

Person Specification:

Communicating and Influencing

Ability to translate analytical findings into business recommendations and communicate effectively with both technical and non-technical audiences, building understanding, support and buy-in for ideas.

Problem solving

Excellent data analytics skills, with the ability to think analytically and creatively. Demonstrates strong problem-solving ability and intellectual curiosity, applying analytical skills across a range of business challenges and domains. Pragmatic when developing solutions and capable of adapting new techniques and approaches to deliver business value.

Delivery and Accountability
Is accountable for own delivery to support the overall Branch priorities and objectives. Works in an efficient and responsive manner to ensure deadlines are met.

Innovation and Continuous Improvement
Proactively creates and tests out new ideas and improvements that could have an impact on the business. 

Team Player 
Strong team player who embraces a positive team culture based on trust, openness, feedback, and collaboration. Works effectively with colleagues, shares knowledge and contributes to successful achievement of team objectives.

Life at Hannover Re UK:

Atmosphere: Work in a global team that values innovation, agile decision-making and mutual respect. We challenge convention, encourage open feedback and foster a community where everyone’s voice matters.
Benefits: From structured onboarding to a comprehensive range of benefits, we invest in your well-being every step of the way. Our offerings include health and wellness initiatives, personal and professional development opportunities and a support system designed to help you thrive in all aspects of your growth and daily life.
Prospects: Bring your expertise and curiosity – here, you'll have the space to drive change and own your ideas. We’ll keep you engaged with fresh challenges, mentorship, skill-building opportunities and the freedom to shape your path.

Senior Decision Scientist (Data Science)

Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.

Hybrid Working, Based in Brighton | Up to £90,000

This is an opportunity to join a fast-growing, product-led technology business that is investing heavily in Data, AI and Machine Learning. Working within a highly collaborative data function, you'll help build data-driven products and machine learning solutions that directly influence customer experience, product development and commercial performance.

The Company

Our client is an international technology platform with a strong focus on innovation and data-driven decision-making. Data sits at the heart of the organisation, with significant investment in AI, experimentation and product development. The business is scaling its Decision Science capability and embedding data professionals closer to product teams to maximise business impact.

The Role

• Build and develop recommendation and personalisation models

• Develop AI-powered products and customer-facing features

• Apply machine learning techniques to solve complex business problems

• Support experimentation through modelling, statistical testing and evaluation

• Conduct feature engineering and feature analysis to improve model performance

• Work closely with Product, Engineering and Analytics teams on high-impact initiatives

• Build proof-of-concepts that demonstrate the value of AI and advanced analytics

• Translate technical findings into actionable commercial recommendations

• Help shape the future use of AI, machine learning and data products across the business

Your Skills & Experience

• Commercial experience within Data Science, Machine Learning or a similar role

• Strong Python and SQL skills

• Experience building machine learning models in a production environment

• Strong understanding of statistics, experimentation and hypothesis testing

• Experience with recommendation systems, personalisation or predictive modelling is beneficial

• Strong commercial awareness and problem-solving capabilities

• Ability to communicate technical concepts to both technical and non-technical audiences

• Comfortable working in a fast-paced, product-led environment

• Interest in AI, LLMs and emerging technologies

xwwtmva

What They Offer

• Salary up to £90,000

• Brighton-based hybrid working model, commutable from London

• Office attendance currently 3 days per week, reducing to 2 days per week

• Opportunity to work on cutting-edge AI and machine learning initiatives

• Join a growing data team during a period of significant investment

• High-impact role with strong exposure to product and commercial decision-making

• Clear opportunities for career progression and development

• Collaborative, innovative and highly data-driven culture

How to Apply

If you're excited by the opportunity to build impactful machine learning solutions within a product-focused environment, please apply with your CV.

Applied Data Scientist – Fraud Detection

Please make an application promptly if you are a good match for this role due to high levels of interest.

Contract: 6 months

Engagement: Inside IR35

Location: Fully remote, with occasional travel to the London office.

The Role

We're looking for an experienced Applied Data Scientist to help improve the performance of our production fraud detection models.

Working within our Fraud Intelligence team, you'll analyse large-scale datasets, identify new behavioural signals and optimise machine learning models to improve fraud detection accuracy while reducing false positives.

This is a highly practical role suited to someone who enjoys working with complex data and delivering measurable improvements to live production models. You'll work closely with Machine Learning Engineers and Product teams to continually enhance the intelligence powering our fraud prevention platform.

Responsibilities

Analyse large-scale fraud and transaction datasets.

Engineer new features to improve fraud detection performance.

Optimise production machine learning models.

Improve model performance against key metrics including F1 Score, Precision and Recall.

Identify behavioural patterns associated with fraudulent activity.

Analyse behavioural biometric and device intelligence data.

Design and execute model evaluation experiments.

Build Python-based analytical workflows.

Write complex SQL against Azure Data Lake.

Present recommendations based on statistical analysis.

Work closely with Machine Learning Engineers to transition successful improvements into production.

Essential Skills

Commercial experience as a Data Scientist or Applied Data Scientist.

Strong Python and Pandas.

Advanced SQL.

Experience working with Azure Data Lake or similar cloud data platforms.

Experience working with very large datasets.

Strong feature engineering experience.

Experience improving production classification models.

Excellent understanding of F1 Score, Precision, Recall and model evaluation.

Experience working with highly imbalanced datasets.

Desirable

Fraud detection.

Financial crime.

Payments.

Banking.

Behavioural biometrics.

Device intelligence.

Transaction monitoring. xwwtmva

Risk scoring.

Lead and deliver data science and AI projects across the full lifecycle, from problem definition and business case development through to model deployment. Apply a broad range of AI and data science methodologies across multi-modal data sources, tackling complex challenges spanning the entire customer journey, from acquisition and retention through to servicing, claims, and beyond. Communicate findings and results clearly and compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science. Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimisation. Ensure full compliance with regulatory frameworks and data privacy standards, while proactively championing AXA's Responsible AI principles throughout every stage of the project lifecycle. Commit to continuous professional development, staying at the forefront of emerging trends in AI and data science and actively sharing knowledge across the team.

Work arrangements: At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. Your skills & experience:

Master's degree or equivalent in a highly numerical field such as data science, AI, mathematics, statistics, or computer science. A strong foundation in supervised, unsupervised, and deep learning methods, with a proven track record of applying these techniques to solve complex businessproblems, ideally within financial services or a regulated industry. Hands-on expertise developing and deploying generative AI projects, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents. Proficiency in cloud environments, particularly Azure and Databricks, with familiarity with Azure DevOps tools such as Boards, Repos, and Pipelines. Strong knowledge of explainable AI methods and best practices in MLOps and LLMOps. Advanced programming skills in Python and SQL, with a solid understanding of data visualisation techniques. Experience working in agile and cross-functional teams, with a strong collaborative approach and a genuine commitment to ethical and responsible AI practices.

As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date. #LI-Hybrid #J-18808-Ljbffr

Lead and deliver data science and AI projects across the full lifecycle, from problem definition and business case development through to model deployment. Apply a broad range of AI and data science methodologies across multi-modal data sources, tackling complex challenges spanning the entire customer journey, from acquisition and retention through to servicing, claims, and beyond. Communicate findings and results clearly and compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science. Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimisation. Ensure full compliance with regulatory frameworks and data privacy standards, while proactively championing AXA's Responsible AI principles throughout every stage of the project lifecycle. Commit to continuous professional development, staying at the forefront of emerging trends in AI and data science and actively sharing knowledge across the team.

Work arrangements: At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. Your skills & experience:

Master's degree or equivalent in a highly numerical field such as data science, AI, mathematics, statistics, or computer science. A strong foundation in supervised, unsupervised, and deep learning methods, with a proven track record of applying these techniques to solve complex businessproblems, ideally within financial services or a regulated industry. Hands‑on expertise developing and deploying generative AI projects, including LLMs, prompt engineering, fine‑tuning, RAG techniques, and AI agents. Proficiency in cloud environments, particularly Azure and Databricks, with familiarity with Azure DevOps tools such as Boards, Repos, and Pipelines. Strong knowledge of explainable AI methods and best practices in MLOps and LLMOps. Advanced programming skills in Python and SQL, with a solid understanding of data visualisation techniques. Experience working in agile and cross‑functional teams, with a strong collaborative approach and a genuine commitment to ethical and responsible AI practices.

As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. Equal Opportunities Statement We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long‑term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. #J-18808-Ljbffr