AI Data Analyst

Job Title: AI Data Analyst

Start date: ASAP

Location: Bristol/Hybrid (At least 2 days a week in-office)

The Company

Tumelo is a fintech on a mission to empower every investor to shape a better world. We build the infrastructure that lets everyday investors — pension members, fund holders — have a real say over how their money is used at company AGMs, even when they invest through pooled funds.

Our latest product, ProxyBeacon, uses AI to generate bespoke proxy research and voting recommendations for asset managers and asset owners — replacing the one-size-fits-all approach of traditional proxy advisors with something faster, cheaper, and genuinely tailored to each client's priorities.

The Team

Tumelo is committed to building an inclusive, diverse and equitable culture based on the principles of high trust, autonomy, empowerment and psychological safety.  We take inspiration from our company values - daring, nimble, mission-driven, empowered and supportive.  We all strive to represent these values in the way we work with our colleagues and external stakeholders alike.

The Role

ProxyBeacon requires reliable, accurate data from company proxy filings in order to generate research reports and voting outcomes. The quality of the data — how well they're defined, how precisely the AI is instructed to find them — determines the quality of everything downstream.

That's where you come in.

You'll work in a team with responsibility for the data point layer: understanding, extracting and testing the data that our end users - stewardship specialists - need to carry out their duties. You’ll be writing prompts for LLMs, manually checking, and iterating. It is a role for someone who is curious, precise and takes real pride in getting things right.

What You'll Do

• Write and refine data point descriptions — clear, structured definitions that instruct the LLM what to extract from proxy filings and how to handle edge cases
• Review and improve prompts — sense-check that prompts accurately reflect the intended data point description and surface any misalignments
• Run test cases — use our tools skills to run extractions across a range of documents and manually evaluate the results
• Iterate — when results aren't right, work through why and fix it
• Ensure fitness for purpose — understand how each data point feeds into downstream policy rules, and flag where a definition needs to be tightened to make the rule work
• Liaise with engineers — communicate clearly with the engineering team when issues require changes to the underlying RAG process, translating between the technical and the business context

What You’ll Bring

We'll train you on the domain and the tools — what we can't train is the mindset.

• Exceptional attention to detail — you notice things others miss, and you care about the difference between nearly right and exactly right
• End-to-end ownership — when you spot a problem, you see it through to resolution rather than leaving it for someone else; you're comfortable sitting with ambiguity until you've worked it out
• Clear communicator — you can explain a nuanced data problem to an engineer and to a non-technical stakeholder, and you know which register to use when
• User empathy — you're genuinely curious about how stewardship specialists use ProxyBeacon, and you think about their experience when making decisions about data point design
• Hunger to learn — you're excited by AI, you want to understand how it works, and you're energised (not daunted) by working in a fast-moving space where the tools and techniques are still evolving

Nice to Have

• Familiarity with proxy voting, ESG, or corporate governance (but absolutely not required — we'll teach you)
• Some experience with LLMs or prompt engineering, even if just personal experimentation
• Comfort using a command line

These are desirable rather than essential criteria. We welcome applications from people who may not have all the listed criteria but who are willing to learn by doing.

What we offer:

We’re incredibly passionate about Tumelo’s culture and ways of working.  We have an amazing team who care deeply about our mission. We value team well-being and strive to build a safe, healthy environment where people can bring their whole selves to work.

• Salary
  £28-32k, dependent on experience.
• Generous company share scheme
  We are all owners of Tumelo and beneficiaries of our collective success.
• Private health insurance
  Full coverage via AXA, also including 24/7 private GP access, dental, optical, mental health support, physio and other benefits.
• Great Maternity & Paternity policies
  We recognise how important maternity/paternity leave is to the wellbeing of our team. For maternity leave, Tumelo offers the first 26 weeks at 100% pay, followed by Standard Maternity Pay thereafter. For paternity leave, Tumelo offers 6 weeks at 100% pay. Available after 26 weeks continuous employment.
• Work From Home budget
  To get you everything you need to be able to work comfortably from home.
• 5% employer pension contribution
• £50 per month wellness budget
  Pick the benefit that works for you, whether that’s a monthly gym membership, a regular massage, career coaching or a regular delivery of healthy food.
• 33 days holiday
  These include bank holidays, but you can take bank holidays off at your discretion, some of the team prefer to work those days and save the holiday for another time, and that’s fine by us! You’ll also get an extra holiday day when you’ve been with us for 3 years, and another after 4!
• Flexible hours
  We commit to being available to each other on Slack/email between 10am and 3pm Monday – Friday (save for lunch), but outside of these hours you can work whenever you feel most productive.
• Tumfests
  The team commit to gathering together for a full day at least once per month in Bristol or an off-site location. Travel costs are covered by the business.
• Hybrid working
  We encourage staff to come into the office at least two days per week, but we’re flexible and pragmatic about this.

Working here, you’ll grow more than you would anywhere else. You will join a team who will appreciate you every day and your contributions will genuinely change our business’ future.

Recruitment Process

We operate a three-stage interview process:

• Stage one: Covering your thoughts on working culture, work history and some technical.
• Stage two: Technical task (completed in your own time) followed by a technical interview, initially focusing on the take home task.
• Stage three: Meet our CEO Georgia.