Hybrid Data Scientist: ML, Predictive Analytics & Impact

Datatech Analytics; England; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Datatech Analytics in Berkshire is seeking a Data Scientist to build and scale predictive analytics across financial services. You will apply ML, predictive modelling, and statistical rigor to tackle real-world business challenges in customer behaviour, risk, and pricing.

This hybrid role focuses on end-to-end ML solutions, reproducible pipelines, and cross-functional collaboration with Product, Marketing, and Finance to deliver measurable value.

Qualifications

• Proven experience building and iterating on ML models in a commercial setting.
• Expert-level Python skills (pandas, NumPy, scikit-learn, etc.) and strong statistical grounding.
• Experience working within cloud or modern data environments (Microsoft Fabric, Azure, or Databricks).
• Clear, impactful communication skills to bridge technical models and business outcomes.

Responsibilities

• Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments.
• Shape the Platform: Collaborate with Data Engineering and Analytics to build reproducible pipelines and integrate workloads into a Unified, AI-powered analytics platform.
• Drive Business Impact: Translate raw, complex transactional data into actionable predictions and partner with cross-functional teams (Product, Marketing, Finance) to unlock competitive advantage.
• Ensure Model Excellence: Monitor live model performance, guard against data drift, and champion best practices in MLOps.

Skills

ML models

Python

Cloud environments

Communication

Tools

Pandas

NumPy

scikit-learn

Azure

Databricks

Microsoft Fabric

Job description

Datatech Analytics in Berkshire is seeking a Data Scientist to build and scale predictive analytics across financial services. You will apply ML, predictive modelling, and statistical rigor to tackle real-world business challenges in customer behaviour, risk, and pricing.

This hybrid role focuses on end-to-end ML solutions, reproducible pipelines, and cross-functional collaboration with Product, Marketing, and Finance to deliver measurable value.