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.

At Weetabix, we believe that diverse teams drive better ideas, stronger decisions, and a more inclusive workplace for everyone. We’re committed to building an organisation where people from all walks of life feel they belong—where different voices, experiences, and backgrounds are valued and respected.

Closing date: 20th August 2026
Interview process: 1st Stage Interview followed by a Practical Assessment, with an Onsite interview.
Working pattern: You’ll spend three days a week in the office, creating great opportunities to collaborate, strengthen team connections and build high‑impact working relationships face to face.

We’re happy to make reasonable adjustments throughout the recruitment process. Just let us know how we can support you.

This is a newly formed role as part of our growth journey at Weetabix. The 4 successful candidates will be assigned a particular function working within that team to make a difference, however it will be critical to work across the data science team to agree best practice and share learnings as we go.

It's an exciting time to join the business with a big ambition. Candidate with a preference for a particular function should mention it in the application (Finance, Supply Chain, Commercial, Manufacturing) or we will assign that after a successful recruitment process.

The Recipe (About the Role)

The purpose of this role is to lead the conversion of data into meaningful, actionable insights that improve decision-making, performance and operational efficiency. The role is responsible for ensuring data for the function assigned is accurate, available and trusted, establishing the processes and governance that underpin strong data quality, and developing intuitive reporting and visualisation tools such as Tableau, Sigma, Excel or Power BI so colleagues can easily access the insight they need.

This role will be the first point of contact for data and reporting queries and will attempt to resolve them either by self or working with the IT department and other reporting roles in the business.

• Collect, cleanse and interpret data from multiple sources to create reliable reporting.
• Turn complex datasets into clear insights, trends and recommendations that support better operational and strategic actions.
• Design, build and maintain dashboards, scorecards and visual tools, including Tableau or Sigma, to enable self-service access to data across the business.
• Establish and continuously improve processes, controls and governance to ensure data accuracy, consistency, completeness and availability.
• Define and standardise key performance metrics and reporting definitions to create a single source of truth.
• Work closely with Supply Chain, Operations, Commercial, IT, Finance and other stakeholders to understand reporting needs and translate them into practical data solutions.
• Identify risks, inefficiencies and opportunities through inspections, helping teams improve service, inventory, cost and overall performance.
• Help ongoing automation and simplification of reporting processes, reducing manual effort and improving accessibility of insight.
• Drive and measure adoption of self-service questioning through training, coaching and stakeholder engagement.

The Ingredients (What we need from you)

Key Know How:

• Experience in a data, analytics or business intelligence role.
• CPG or FMCG related environment is preferable but not essential.
• Strong ability to analyse, structure and interpret large and complex datasets.
• Experience of building dashboards and reporting tools using Tableau/ Sigma/ Power BI or similar visualisation platforms.
• Good understanding of data governance, data quality, process control and reporting accuracy.
• Experience of working with ERP or operational systems and linking data from multiple sources.
• Strong Excel capability and, ideally, working knowledge of SQL or other data querying tools.
• Ability to communicate insight clearly and influence judgement at different levels of the organisation.
• Knowledge of business processes, measures and performance drivers would be advantageous.
• Degree-level qualification or equivalent experience in Data, Analytics, Accounting, Business or a related field preferred.

Your Bowl of Perks (Benefits)

Competitive Salary & Annual Flexible benefits

We offer a competitive salary and a comprehensive benefits package designed to support your wellbeing, career, and life outside work.

• Annual bonus
• Double-matched pension scheme (up to 12% from us)
• 25 days annual leave increasing with service
• Annual Salary review
• Healthcare plan
• Discounted Weetabix products

To support our employees, we also offer:

• Continued investment in your personal development
• We believe in balance, whether it's for family, rest or simply time for you. As well as your holiday entitlement, you can purchase up to 5 days of additional annual leave
• Access to 24/7 counselling service (via Grocery Aid partnership)
• The freedom of Flexible Work Opportunities
• Enhanced Maternity / Paternity / Adoption Leave
• Additional Time Off for Fertility Treatment and Neonatal Care
• Working Parents Support Group
• Fully stocked kitchens filled with our delicious products for you to enjoy

To learn more about life at Weetabix, visit our careers page: https://careers.weetabixfoodcompany.co.uk/

Please note: We benchmark roles based on your skills and experience, so we do not advertise fixed salary ranges.

Unfortunately, we are unable to provide sponsorship for this position; therefore, we are seeking candidates who do not require sponsorship.

We utilise our Preferred Agency Supplier Partners as and when we require additional support

#HaveYouHadYourWeetabix

We are seeking a talented Data Scientist to join our Research and Development department, based in Dunfermline. In this role, you will develop, optimise and evaluate machine learning models and computer vision algorithms for retinal imaging, ensuring they are successfully integrated into our products. Collaborating with cross-functional teams, you will support model deployment, verification and ongoing performance assessment, driving continuous improvements to product quality, accuracy and user value.

ESSENTIAL DUTIES AND RESPONSIBILITIES

MINIMUM QUALIFICATIONS

BENEFITS

At Optos, we offer a highly competitive compensation and benefits package.

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.

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

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