AI Data Analyst in Bristol

AI Data Analyst in Bristol

Bristol Full-Time 28000 - 32000 £ / year (est.) Home office (partial)
Tumelo

At a Glance

  • Tasks: Join us as an AI Data Analyst, refining data for our innovative ProxyBeacon product.
  • Company: Tumelo is a mission-driven fintech empowering investors to shape a better world.
  • Benefits: Enjoy a competitive salary, generous share scheme, private health insurance, and flexible working hours.
  • Other info: Join a supportive team culture with excellent career growth opportunities and monthly team events.
  • Why this job: Make a real impact in the fast-paced world of AI and finance while growing your skills.
  • Qualifications: Attention to detail, clear communication, and a passion for learning are key.

The predicted salary is between 28000 - 32000 £ per year.

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, Proxy Beacon, 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

Proxy Beacon 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 Proxy Beacon, 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
  • 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.
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AI Data Analyst in Bristol employer: Tumelo

At Tumelo, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to thrive. As an AI Data Analyst in Bristol, you'll enjoy flexible working arrangements, generous benefits including a share scheme and private health insurance, and a commitment to your professional growth within a mission-driven team. Join us to make a meaningful impact while being supported by a collaborative environment that values your contributions and well-being.

Tumelo

Contact Details:

Tumelo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Data Analyst in Bristol

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 Tumelo!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Data Analyst at Tumelo.

Leverage Professional Networks

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 Tumelo.

Apply Directly through Our Website

When you find a suitable opening like AI Data Analyst at Tumelo, 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 AI Data Analyst in Bristol

Attention to Detail
Data Extraction
Prompt Engineering
Communication Skills
User Empathy
Problem-Solving Skills
Analytical Skills

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 Tumelo, 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 Tumelo. 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 Tumelo

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 Tumelo!

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.