Lead Data Scientist - Finance

ZipRecruiter; London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

A fast-growing finance startup is seeking a Lead Data Scientist to lead the development of innovative data-driven products. This hybrid role will involve deploying machine learning models and mentoring a high-performing team while collaborating across functions to refine data science opportunities. With a competitive salary and equity package, this is an exciting chance to impact the future of finance in a mission-driven environment.

Benefits

Equity package

Flexible working hours

Learning and development budget

Qualifications

• 5–10 years of experience in data science.
• At least 2 years in a leadership role.
• Experience in a startup or fast-paced environment.

Responsibilities

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

Skills

Python

SQL

Data Science Libraries

Stakeholder Management

Education

Bachelor’s degree in Computer Science, Data Science, Statistics

Tools

TensorFlow

PyTorch

AWS

GCP

Azure

Apache Airflow

dbt

Snowflake

Job description

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.

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.