Lead Data Scientist - Finance

JR United Kingdom; City Of London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

A leading finance startup in London is seeking a Lead Data Scientist to transform financial data interactions. This role requires developing machine learning models, mentoring a data science team, and collaborating across functions. With a competitive salary up to £110,000, the position offers flexible working and the opportunity to shape the future of finance with innovative technologies.

Benefits

Competitive salary up to £110,000

Equity package

Flexible working hours

Learning and development budget

Qualifications

• 5–10 years of experience in data science, with at least 2 years in a leadership or senior role.
• Proven experience in a startup or fast-paced environment.
• Strong proficiency in data science tools and programming languages.

Responsibilities

• Lead the development and deployment of machine learning models and advanced analytics solutions.
• Build and mentor a high-performing data science team.
• Communicate complex data insights to technical and non-technical stakeholders.

Skills

Python

SQL

Data Science Libraries

Machine Learning

Stakeholder Management

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field

Tools

AWS

GCP

Azure

Apache Airflow

dbt

Snowflake

Job description

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Lead Data Scientist - Finance, london (city of london)

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Client:

Opus Recruitment Solutions

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

I am looking for Lead Data Scientist role for a fast-growing finance start up on a mission to transform how individuals and businesses interact with financial data. Backed by top-tier investors, they're building intelligent, data-driven products that empower smarter financial decisions.

Hybrid - 3 days onsite

Location - London

Key Responsibilities

• Lead the development and deployment of machine learning models and advanced analytics solutions.
• Collaborate cross-functionally to identify and prioritize data science opportunities.
• Build and mentor a high-performing data science team.
• Establish best practices for experimentation, model validation, and deployment.
• Communicate complex data insights to technical and non-technical stakeholders.
• Stay current with trends in data science, machine learning, and financial technologies.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• 5–10 years of experience in data science, with at least 2 years in a leadership or senior role.
• Proven experience in a startup or fast-paced environment.
• Strong proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow/PyTorch).
• Experience working with financial data, risk modelling, or algorithmic trading is a plus.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake).
• Excellent communication and stakeholder management skills.
• Must be available to work onsite in London 3 days per week.

What's on Offer

• Competitive salary up to £110,000 (depending on experience)
• Equity package.
• Flexible working hours and hybrid work environment.
• Opportunity to shape the future of finance with cutting-edge technology.
• Learning and development budget to support your growth.