Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst (Data Science team)

Jupiter
London
5 days ago
Create job alert

The Value of Active Minds
 

About Jupiter

Jupiter is one of the UK’s leading investment management companies with just under 500 employees and £47.1 billion worth of assets under management (as at 30th June 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 across 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’re looking for a skilled and collaborative Data Analyst to join our small, dynamic Data Science team to help drive our data strategy forward. This role focuses on building scalable data processes, delivering impactful analysis, and developing dashboards that support investment decision-making. You’ll thrive in a curious, and outcome-oriented environment that values high performance, practical impact, and clear communication.


Key Responsibilities

  • Develop and maintain scalable, reproducible analytical workflows using Python and SQL.
  • Lead dashboard development and visualisation, becoming the team’s go-to expert for tools used by Fund Management teams.
  • Collaborate with data engineers and data scientists on data exploration, cleansing, and pipeline optimisation.
  • Translate complex data findings into clear, compelling narratives for non-technical stakeholders.
  • Partner with investment professionals to identify opportunities, test hypotheses, and deliver data-driven insights.
  • Contribute to team-wide best practices for data access, documentation, and reproducibility.


Desired Skills / Experience

  • 4+ years of experience in data analytics or data engineering.
  • High proficiency in Python (e.g., pandas, NumPy, matplotlib/seaborn) and SQL essential.
  • Hands-on experience with BI tools (ideally Power BI) advantageous
  • Familiarity with cloud-based data platforms (ideally Azure) advantageous.
  • Strong problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.

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.

Related Jobs

View all jobs

Data Analyst (Data Science team)

Data Scientists

Data Scientists

Data Scientist - Collections Analytics

Head of Data Science

Data Scientist - Collections Analytics

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.