At a Glance
- Tasks: Use data to drive investment insights and build predictive models.
- Company: Join Jupiter, a leading UK investment management firm with a vibrant culture.
- Benefits: Enjoy hybrid working, competitive salary, and a healthy work/life balance.
- Other info: Diverse and inclusive workplace encouraging applications from all backgrounds.
- Why this job: Make a real impact in finance while working with cutting-edge data tools.
- Qualifications: 3+ years in data science, strong Python and SQL skills, and a passion for finance.
The predicted salary is between 60000 - 80000 £ per year.
The Value of Active Minds 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 employer: Jupiter Asset Management
Jupiter is an exceptional employer, offering a vibrant work culture that prioritises employee well-being and professional growth. Located in the heart of London, our office is designed to foster a healthy lifestyle with ample natural light, recreational facilities, and proximity to green spaces, while our flexible hybrid working model supports a balanced approach to work and life. We are committed to diversity and inclusion, encouraging applicants from all backgrounds to join our dynamic team of investment professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jupiter Asset Management!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jupiter Asset Management.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Jupiter Asset Management, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jupiter Asset Management, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jupiter Asset Management. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jupiter Asset Management
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jupiter Asset Management!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.