Data Scientist

Datatech Analytics; City of Westminster; On-site; GBP 70,000 - 110,000; Full time

Job summary

Datatech Analytics is an established analytics and technology business delivering AI-powered SaaS products and bespoke AI solutions for major brands across retail, finance, travel, telecoms and healthcare. Report­ing to the CTO, you'll own end-to-end data science projects, developing and deploying machine learning models that drive customer and commercial outcomes.

You will work across customer segmentation, forecasting and MLOps, applying Python-based modelling, feature engineering and rigorous

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

Responsibilities

• Own end-to-end data science projects and deploy ML models.
• Collaborate with product, engineering and client teams to develop AI-powered solutions.
• Translate complex analysis into actionable commercial insights.
• Work on cutting-edge applied AI and machine learning.

Skills

Python

SQL

Jupyter

ML modelling

MLOps

Propensity modelling

Customer segmentation

Forecasting

Stakeholder management

Communication

Education

Mathematics/Statistics/Physics

Tools

Cloud platforms

Job description

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.
• 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.
• 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.