Data Scientist and Investment Associate at Data-driven venture capital firm

Jack & Jill/External ATS; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A data-driven venture capital firm in London is seeking a Data Scientist and Investment Associate to build advanced data and ML pipelines, participate in investment processes, and integrate cutting-edge AI technologies. The role requires 1–2 years of experience in data science or machine learning, with strong proficiency in Python and SQL. Ideal candidates will possess a genuine enthusiasm for technology and venture investing. This position offers a hybrid working arrangement and the opportunity to shape the company's investment strategies.

Qualifications

• 1–2 years of experience in data science, analytics, or ML engineering with production systems.
• Strong proficiency in Python and SQL.
• Enthusiasm for technology, startups, and venture investing.

Responsibilities

• Build and maintain data engineering and ML pipelines.
• Participate end-to-end in investment processes.
• Research, prototype, and productionize LLMs and new data sources.

Skills

Data science

Analytics

Machine Learning (ML)

Python

SQL

Tools

Cloud data tooling

APIs

Job description

This is a job that we are recruiting for on behalf of one of our customers.

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Data Scientist and Investment Associate

Company Description:

Data-driven venture capital firm

Job Description:

This hybrid role combines data science and venture investing, offering the opportunity to shape the firm’s sourcing strategy and decision-making processes. You’ll build advanced data and ML pipelines to surface high‑fit companies, conduct due diligence, and integrate cutting‑edge AI/LLM technologies across core workflows. A high‑impact role at the intersection of data, product, and investment.

Location:

London, UK

Why this role is remarkable:

• Own and expand a proprietary data platform responsible for sourcing ~50% of investments.
• Fully embedded within a well‑funded VC investment team.
• Drive innovation by deploying state‑of‑the‑art AI/LLM solutions into investment workflows.

What you will do:

• Build and maintain data engineering and ML pipelines to identify high‑potential companies.
• Participate end‑to‑end in investment processes, from sourcing and qualification to due diligence.
• Research, prototype, and productionize LLMs, APIs, and new data sources across the organisation.

The ideal candidate:

• 1–2 years of experience in data science, analytics, or ML engineering with production systems.
• Strong proficiency in Python and SQL, with experience in cloud data tooling and APIs.
• Genuine enthusiasm for technology, startups, and the future of venture investing.

How to Apply:

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