Chief Data Scientist

Harnham; London; Hybrid; GBP 106,000 - 125,000; Full time

Job summary

A pioneering data and analytics company is seeking a Chief Data Scientist to lead a skilled team at the forefront of machine learning and predictive modelling. In this senior role, you will oversee the end-to-end data science lifecycle, shape strategy, and contribute to innovations that drive growth and performance.

Benefits

Opportunity to make a meaningful impact

Qualifications

• Experience leading small data science teams in a commercial setting.
• Strong expertise in machine learning, particularly with propensity modelling/AVMs.
• Deep experience with end-to-end model development and deployment.

Responsibilities

• Manage a team of 3 data scientists, fostering a high-performance culture.
• Own the development of predictive models including AVMs and propensity models.
• Set the vision and strategy for data science within the business.

Skills

Machine Learning

Data Science Leadership

Predictive Modelling

Stakeholder Management

Communication

Education

Relevant Data Science Degree

Tools

Python

Cloud-based Data Science Tools

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Job Title: Chief Data Scientist
Location: Hybrid - London
Salary: Up to £125,000

A pioneering data and analytics company is seeking a Chief Data Scientist to lead and grow a high-performing team working at the forefront of machine learning and predictive modelling.

This is a senior, hands-on leadership role focused on delivering production-grade models in areas such as Automated Valuation Models (AVMs) and propensity modelling. You will take full ownership of the end-to-end data science lifecycle-from problem scoping to model deployment-while also setting technical standards, shaping strategy, and managing a team of three skilled data scientists.

Key Responsibilities

• Manage a team of 3 data scientists, fostering a high-performance and collaborative culture
• Own the end-to-end development of predictive models, including AVMs and propensity models
• Work closely with data engineering and product teams to integrate models into scalable solutions
• Set the vision and strategy for data science within the business, championing best practices and innovation
• Communicate complex technical concepts to both technical and non-technical stakeholders
• Guide experimentation, model validation, and continuous performance monitoring
• Contribute to long-term planning for the company's data science roadmap

Tech Environment

• Strong emphasis on Python and cloud-based data science tooling
• Experience with model deployment in production is essential
• Understanding of real estate or consumer behaviour data is a bonus, but not required

About You

• Proven experience leading small data science teams in a commercial setting
• Strong expertise in machine learning, particularly with propensity modelling / AVM's
• Deep experience with end-to-end model development and deployment
• Confident working in a fast-paced, hands-on environment
• Comfortable operating at both strategic and technical levels
• Excellent stakeholder management and communication skills

This is an opportunity to make a meaningful impact at a company where data science sits at the core of the product and strategy. You'll be a key voice in shaping how machine learning drives growth, innovation, and commercial outcomes.

Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

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