Lead Data Scientist - FinCrime

Lead Data Scientist – Financial Crime

Salary: £95,000 – £120,000 + bonus + benefits

Location: London (Hybrid – 2-3 days per week)

We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space.

This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime.

The Lead Data Scientist will play a key role in leading projects end‑to‑end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges.

The Opportunity

This role offers a blend of hands‑on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology.

You will be responsible for:

• Leading data‑focused projects across financial crime and fraud
• Analysing large datasets to identify trends, risks, and opportunities
• Supporting the design and improvement of monitoring and detection processes
• Working closely with business and technical stakeholders to deliver solutions
• Translating data insights into clear, actionable recommendations
• Supporting junior team members and contributing to overall project delivery
• Contributing to broader initiatives across the business where relevant

What sets this apart:

• A mix of data science, analytics, and stakeholder engagement
• Exposure to a variety of clients and challenges
• Opportunity to influence how data is used to manage risk
• A pathway into a more strategic and advisory‑led role

What’s in it for you?

• Competitive salary (£95,000 – £120,000) + bonus
• Hybrid working
• Ongoing training and development
• Clear progression opportunities
• Exposure to a range of projects and clients
• Supportive and collaborative team environment

Skills and Experience

• Strong background in data, analytics, or data science
• Experience working within financial services, risk, or fraud‑related domains
• Ability to work with stakeholders and communicate insights effectively
• Experience working with modern data tools and technologies

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