Lead Data Scientist - Finance

JR United Kingdom; Slough; Hybrid; GBP 90,000 - 110,000; Full time

Job summary

A fast-growing finance startup seeks a Lead Data Scientist to drive machine learning and analytics solutions. This hybrid role, based in London, requires strong leadership and technical expertise in data science, with an emphasis on financial technologies. Competitive salary, equity options, and a supportive work environment are offered.

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 role.
• Experience in a startup or fast-paced environment is required.
• Strong proficiency in Python, SQL, and data science libraries.

Responsibilities

• Lead the development and deployment of machine learning models.
• Collaborate to identify and prioritize data science opportunities.
• Build and mentor a high-performing data science team.

Skills

Python

SQL

Data Science Libraries

Communication

Education

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

Tools

Cloud Platforms (AWS, GCP, Azure)

Data Stack Tools (Apache Airflow, dbt, Snowflake)

Job description

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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.