Lead Data Scientist - Finance

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.

Title -Lead Data Scientist

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.
• Collaborative, mission-driven team culture.
• Learning and development budget to support your growth.