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

Apply Now

Data Scientist London

Model ML
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data scientist (marketing)

Tech Data Scientist

Associate (Data Scientist) - London, Wroclaw

Senior Data Scientist London, United Kingdom

2026 Junior Data Scientist - London

Applied Machine Learning Scientist London; United Kingdom

Model ML is an AI solution that accelerates research and due diligence processes for Private Equity (PE), Venture Capital (VC), and Banking. You will work alongside two well-known founders who successfully sold their last two YC-backed companies. Model ML, also backed by Y Combinator and top-tier venture firms, has already raised double-figure millions in stealth mode to automate specific workflows within finance using AI. The company is live and in production with some of the world's largest firms and is scaling fast globally.

Job Description:

We are looking for a Senior Business Intelligence (BI) Analyst to join our team. The candidate will be responsible for managing the full data stack, designing, developing, and maintaining data visualizations and dashboards to provide actionable insights and support data-driven decision-making across the organization.

Key Responsibilities

  • Design, develop, and maintain data visualizations and dashboards using Looker.
  • Report on trends, patterns, and insights daily to the entire team, ensuring clarity and understanding of data insights.
  • Provide training and support to the team to ensure effective use of Looker.
  • Stay updated with industry trends and best practices in BI and data analytics.
  • Collaborate with the engineering team to connect and maintain data pipelines (note: technical implementation is not your responsibility).
  • Ensure data accuracy and integrity through regular validation and quality checks.

What you can expect:

It will be challenging but rewarding. Be prepared for changing timelines and priorities. This role requires a willingness to embrace discomfort and a commitment to learning and growth.

Requirements:

  • Strong academic background.
  • Minimum of 5 years of experience in business intelligence, data analysis, or related fields.
  • Expertise in Looker and proficiency in SQL.
  • Advanced Excel skills, including complex formulas, pivot tables, and data visualization.
  • Experience scaling BI functions in a venture-backed startup environment.
  • Excellent communication and collaboration skills, with the ability to work effectively across teams.

What We Offer:

  • Direct reporting to founders with successful venture-backed exits.
  • Competitive salary + equity.
  • Performance-based incentives.
  • Opportunity to expand into the APAC market.
  • Supportive and innovative work environment.

We are building a team of smart, tenacious individuals committed to our mission. If you resonate with this vision and are ready to make your mark, we encourage you to apply.

About the interview

Our Process:

  • Call 1: 20-minute intro with Nat (Head of Ops).
  • Call 2: 30-minute interview with Chaz (CEO).
  • Call 3: 45-minute technical deep dive with Chaz.
  • Call 4: 30-minute discussion with Arnie (CTO).

If interested, please apply using the form below.


#J-18808-Ljbffr

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

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.