Lead Data Scientist

SR2
London, UK
1 day ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£115,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Information Technology Consulting Python (Programming Language) Machine Learning Software Architecture Tensorflow Software Engineering Pytorch Large Language Models Scikit Learn Information Technology

Job description

Overview

SR2 Socially Responsible Recruitment Certified B Corporation pay range: Up to £115k + equity. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more.

The Role

Principal AI Recruiter Founder of The AI Collective

Role focus: Build and scale a brand-new data science function within an established AI company. The function will work exclusively on financial services projects, so prior FS experience is required. This role combines hands-on technical work with leadership, strategy, and client-facing impact. You'll work directly with senior decision-makers in banking, fintech, and insurtech, while mentoring and developing a high-calibre data science team.

Key responsibilities:

  • Establish and grow a dedicated data science function focused on financial services use cases.
  • Set technical direction, define best practices, and shape the roadmap for client delivery.
  • Lead projects end-to-end from discovery and experimentation to POC and large-scale deployment.
  • Deliver advanced solutions across ML and AI, including agentic systems and LLM-powered applications.
  • Act as a senior point of contact for FS stakeholders, influencing both technical and commercial outcomes.
  • Hire, mentor, and develop a team of data scientists to a best-in-class standard.

What We’re Looking For

  • Strong background in machine learning, statistical modelling, and applied data science.
  • Expert in Python and familiar with standard ML/AI frameworks (e.g. Scikit-Learn, PyTorch, TensorFlow).
  • Solid track record of delivering successful projects within FS - ideally in regulated, enterprise-grade environments.
  • Previous leadership experience and ability to guide strategy, make architectural decisions, and manage technical teams.
  • Excellent comms and stakeholder management skills, comfortable in senior client-facing settings.
  • Bonus points for consulting experience.

Why Join?

  • Shape and lead a new capability from day one.
  • Work on complex, high-impact problems at the frontier of financial services and AI.
  • Combine technical leadership with direct client influence.
  • Join a company where innovation, collaboration, and professional growth are at the heart of how they operate.

If you’re motivated by the idea of building something new, leading a team, and driving AI adoption.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Finance and Information Technology

Industries

  • IT Services and IT Consulting
  • Software Development
  • Financial Services

Requirements

  • Strong background in machine learning, statistical modelling, and applied data science.
  • Expert in Python and familiar with standard ML/AI frameworks (e.g. Scikit-Learn, PyTorch, TensorFlow).
  • Solid track record of delivering successful projects within FS - ideally in regulated, enterprise-grade environments.
  • Previous leadership experience and ability to guide strategy, make architectural decisions, and manage technical teams.
  • Excellent comms and stakeholder management skills, comfortable in senior client-facing settings.
  • Bonus points for consulting experience.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:42 min

Choosing specialized libraries beyond scikit-learn

Adrian Schmitt · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

1:43 min

Leveraging modern frameworks across the machine learning lifecycle

Daniel Graff +1 · World Congress 2021

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all