Senior Data Scientist

Datatech Analytics; City Of London; On-site; GBP 68,000 - 83,000; Full time

Job summary

Datatech Analytics in Holborn, London, is seeking a Senior Data Scientist to own end-to-end data science projects, developing and deploying machine learning models that drive business outcomes.

You will work on customer segmentation, propensity modelling, churn prediction, revenue forecasting, and production deployment in a collaborative, client-facing environment.

Qualifications

• 4-5 years' experience in data science or advanced analytics.
• Strong mathematical, statistical or physics background.
• Experience analysing large volumes of first-party customer data, ideally within an agency, retail or insurance environment.
• Strong Python, SQL and Jupyter skills.
• Hands-on experience with customer segmentation, propensity modelling and forecasting.
• Proven ability to deliver end-to-end machine learning projects, from analysis through to deployment.
• Commercially minded, with strong communication and stakeholder management skills.

Responsibilities

• Own end-to-end data science projects, developing and deploying machine learning models that drive business outcomes.
• Work across customer segmentation, propensity modelling and churn prediction.
• Provide revenue and demand forecasting insights.
• Handle production deployment, cloud infrastructure and MLOps.
• Translate complex analysis into actionable commercial insights.
• Collaborate with product, engineering and client teams to develop AI-powered solutions.

Skills

Python

SQL

Jupyter

Data science

Machine learning

Stakeholder management

Communication

Job description

Senior Data Scientist

£75,000 + benefits | Holborn, London | Office-based Monday-Thursday

Build AI-powered products that turn customer data into commercial impact.

Join an established analytics and technology business developing cutting-edge SaaS products and bespoke AI solutions for major brands across retail, finance, travel, telecoms and healthcare. With two live products and further AI solutions in development, this is an opportunity to work on applied data science that delivers tangible business results.

The Role

Reporting to the CTO, you'll own end-to-end data science projects, developing and deploying machine learning models that drive better customer and commercial outcomes.

You'll work across:

• Customer segmentation, propensity modelling and churn prediction.
• Revenue and demand forecasting.
• Python-based modelling, feature engineering and model validation.
• Production deployment, cloud infrastructure and MLOps.
• Translating complex analysis into actionable commercial insights.
• Collaborating with product, engineering and client teams to develop AI-powered solutions.

About You

• 4-5 years' experience in data science or advanced analytics.
• Strong mathematical, statistical or physics background.
• Experience analysing large volumes of first-party customer data, ideally within an agency, retail or insurance environment.
• Strong Python, SQL and Jupyter skills.
• Hands-on experience with customer segmentation, propensity modelling and forecasting.
• Proven ability to deliver end-to-end machine learning projects, from analysis through to deployment.
• Commercially minded, with strong communication and stakeholder management skills.

Experience in a consultancy or agency environment would be advantageous. Cloud experience is welcome, but no specific platform is required.

Why Join?

• Work on cutting-edge, applied AI and machine learning.
• Build products used by major brands across multiple sectors.
• Take ownership of meaningful projects and influence the development of a growing data science team.