Data Scientist (Finance)
Tangible
Accounting & Finance, Data Science
GBP 75k-85k / year + Equity
Posted on May 11, 2026
Data Scientist (Finance)
Location: London
Employment Type: Full-time
Compensation : £70k-£80k + Equity package
About Tangible
Tangible is a seed stage climate / fintech startup looking to unlock critical capital for hard tech innovators. Our platform offers tools to help these companies all the way through their financing journey. We are a small and nimble team, passionate about seeing these hardware companies succeed. The company has 3 co-founders with a mix of product, technology and capital markets expertise. You can read more on our thesis here.
Role Overview
We are seeking a talented Data Scientist to join our growing Data Science team. This role is a unique opportunity to build technology that shortens hardware innovators’ path to scale, and reimagine the way finance is done in a world transformed by AI.
What you will build with have a direct impact on unlocking debt capital for the hardware innovations that we critically need - such as for the energy transition, novel materials production, autonomous logistics networks - but where debt capital backing has been sparse. With your work, you will bring new insights into the real risks and opportunities these hardware innovations bring, bringing transparency to lenders and making these novel asset classes financeable.
You will work closely with the other two members of our Data Science team, our AI engineering team as well as our capital markets team.
makes it easier and faster for hardware innovators to raise debt capital,
data science team.
reimagine finance in a world of AI
using tech to make it easier to access debt capital
building data insights that make transparent the risk of innovative tech. and make that tech financable.
You'll collaborate closely with the other members of the Data Science team, AI engineering team and capital markets team to reimagine finance in a world transformed by AI. To speed up hardware innovator’s path to debt backing.
Maybe more something: use your creativity, passion for innovations in a finance, translating industry knowledge into AI.
Key responsibilities
Build predictive models, run simulations and perform stress testing to support the structuring of asset-backed finance deals
Analyse financial and hardware telemetry data to surface trends and risk factors in novel hardware business models
talking to the capital markets team, and translating their work to new software features
related to the above: explorative DS, working with financial data as well as hardware telemetry data to improve risk visibility
Turn explorative data science projects into scalable product features - moving from bespoke analysis to features that customers can use themselves
making product features self-serve by developing AI agents
matching borrowers with lenders, serving lenders with AI due diligence
[As a Data Scientist at Tangible you will build the essential data science and mathematical underpinning of our products. It will require deeply understanding the core customer problems and translating that to robust analytical solutions.
Your role will involve performing statistical analysis on financial data to identify trends and insights, and delivering those insights to our customers through visualisations, interactive dashboards and simulations.
You'll dive deep into the technical challenges of emerging markets, developing risk assessment models that reveal hidden patterns in novel business models, building Monte Carlo simulations to stress-test innovative financing structures, and creating analytical frameworks that decode complex, esoteric assets to accelerate their path to financeability. ]
What you bring to the table
Work experience building and deploying machine learning models [doesnt need to be an ML model, can I rephrase this] in finance or related industry such as insurance [anything else?]. Experience with financial risk modelling, scenario analysis and forecasting is a plus.
Strong proficiency in Python and demonstrable experience collaborating with engineering teams.
Enthusiasm for learning new techniques, exploring innovative methods and experimenting with emerging tools. We seek keen, self-driven learners who thrive in our fast-paced startup environment
Rigorous analytical thinking with strong attention to detail, and ability to translate complex business problems into mathematical frameworks
A product mindset, which includes the ability to translate business requirements into technical solutions, communicate insights effectively to diverse stakeholders, and build robust, production-ready analytical systems
[make all these sentences a bit shorter]
Screening Calls
Introductory call with CPO & Principal Data Scientist~ 45 minutes
Follow up email, with feedback and initial questions
Interviews
Programming / Problem Solving session together with the founding product team. No preparation needed and ideally we do this in person in our London office. ~90 min
Follow up email, with feedback and questions
30 minute call with CEO to answer your questions on the company
Offer stage
Reference calls
Offer call
Ready to help us build the future of climate fintech?
Send us your resume, and a brief note about why you're excited about this opportunity to: careers@tangible.finance
Mission
Our mission is; Grow the global balance sheet dedicated to hard-tech companies
Read our CEO’s recent essay on the problem we are solving here: Capital intensity isn’t bad
Taking care of yourself
Health and happiness
We want to support your health and happiness. We’ll do everything we can to make sure our workplace is a source of fulfilment and inspiration. But we all need support outside of work too. Everyone's version of that is different, so we give you £100 per month to spend on what makes sense for you.
Time off
You get the time off you need. We trust you to support your team by resting as well as working. We want you to have control and be able to observe what’s important to you — including taking time off when your mind and body need a break. Some people need a bit more of a push when it comes to taking holiday, so your manager will make sure you take at least 25 days off a year and generally gloat about their latest hiking trip.
Effort and care
In a small team, we also rely on you to help your colleagues. That means checking in, following up when you notice signs of strain or stress, and being open and honest about your own feelings. The buck stops with Will and Seb when it comes to creating a happy company, but we will look to everyone to be kind, collegiate and caring.
Doing your best work
Push your limits
We have real dedication to our mission. We know that to realise it we need to push each other to do our best work. This means supporting and motivating each other to be braver and communicating clearly how we can each improve. We want to push past what you thought you were capable of.
Hybrid model
We are working in a hybrid first model where we meet on set days together in our London office. The rest of the days is up to you and we promote working from anywhere you want occasionally if that suits you. All we ask is that you log-on to to company update / standup meetings.
A collective
We’re inspired by co-working and co-living movements that create friendly, collegiate communities without constraining them too much. You’ll be joining Tangible’s collective, which connection, freedom, and a shared investment in all of us reaching our potential.
Data Scientist
Location: London
Employment Type: Full-time
Compensation: £75k-£85k + Equity package
Role Overview
We are seeking a talented Data Scientist to join our growing data team. In this role, you will work on both our core products, focusing on data visualisation, statistical analysis, and developing insights for our clients. You'll collaborate closely with our Principal Data Scientist and AI Engineer to implement analytical solutions that enhance our financial products while growing your skills in advanced analytics and machine learning.
Ideally, you'll bring some familiarity with debt markets, credit risk, or structured finance — whether from a previous role at a lender, a fintech, or from working with financial datasets in an analytical capacity. You don't need to be a credit expert, but an intuition for how lending decisions get made and how portfolios behave over time will help you hit the ground running.
About Tangible
Tangible is a seed stage startup looking to unlock critical capital for hard tech innovators. Our platform offers tools to help these companies all the way through their financing journey. We are a small and nimble team, passionate about seeing these hardware companies succeed. The company has 3 co-founders with a mix of product, technology and capital markets expertise. You can read more on our thesis here.
Key responsibilities
As a Data Scientist at Tangible you will build the essential data science and mathematical underpinning of our products. It will require deeply understanding the core customer problems and translating that to robust analytical solutions. Your role will involve performing statistical analysis on financial data to identify trends and insights, and delivering those insights to our customers through visualisations, interactive dashboards and simulations. You'll dive deep into the technical challenges of emerging markets, developing risk assessment models that reveal hidden patterns in novel business models, building Monte Carlo simulations to stress-test innovative financing structures, and creating analytical frameworks that decode complex, esoteric assets to accelerate their path to financeability. Moreover, as an AI-native company in both our products and development vision, we also encourage you to contribute to our [@Bernet Meijer something is missing here we should add ]
What you bring to the table
At least Bachelor's or Master's degree in a quantitative science
Experience in either an applied data science position or a quantitative academic field
Strong proficiency in Python and the Python data science stack (NumPy, pandas, scikit-learn)
Solid mathematical background and a deep understanding of statistical methods including hypothesis testing, regression analysis and experimental design
Familiarity with the standard data science stack, such as time-series analysis, exploratory data analysis, supervised and unsupervised machine learning techniques and model evaluation
Rigorous analytical thinking with strong attention to detail, and ability to translate complex business problems into mathematical frameworks
A product mindset, which includes the ability to translate business requirements into technical solutions, communicate insights effectively to diverse stakeholders, and build robust, production-ready analytical systems
A creative, problem-solving approach with enthusiasm for learning new techniques, exploring innovative methods and experimenting with emerging tools. We seek keen, self-driven learners who thrive in our fast-paced startup environment
Experience working with financial data — particularly in credit, lending, or debt capital markets — is strongly preferred. Familiarity with concepts like loan performance, default modelling, cash flow analysis, or portfolio risk will be a real advantage in this role
What does the hiring process look like?
Screening Calls
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