Applied AI Data Scientist: End-to-End ML Impact

Datatech Analytics; City of Westminster; Vor Ort; GBP 70.000 - 110.000; Vollzeit

Zusammenfassung

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

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Jupyter

ML modelling

MLOps

Propensity modelling

Customer segmentation

Forecasting

Stakeholder management

Communication

Ausbildung

Mathematics/Statistics/Physics

Tools

Cloud platforms

Jobbeschreibung

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