Data Scientist

Datatech Analytics; Reading; Hybrid; GBP 65,000 - 100,000; Full time

Job summary

Datatech Analytics in Berkshire is seeking a Data Scientist to build and scale predictive analytics capabilities across financial services. You will apply machine learning, predictive modelling, and statistical rigour to tackle business challenges in customer behaviour, risk, and pricing.

Join a hybrid team with two days in the office and strong collaboration with Data Engineering and Analytics to deliver production-ready solutions and measurable business impact.

Qualifications

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

Responsibilities

• Build end-to-end ML solutions—from scope to deployment of production-ready models.
• Collaborate with Data Engineering and Analytics to create reproducible pipelines.
• Translate data into predictions and partner with Product/Marketing/Finance teams.
• Monitor models in production and uphold MLOps best practices.

Skills

ML models

Python

Cloud environments

Communication

Tools

pandas

NumPy

scikit-learn

Databricks

Job description

Data ScientistBerkshire - Hybrid 2 days office attendance

Are you ready to shape the future of predictive analytics in financial services? We are looking for a versatile Data Scientist to help to build and scale our clients data science practice. Sitting at the heart of the Data team, you will apply machine learning, predictive modelling, and statistical rigor to tackle real world business challenges across customer behaviour, risk, and pricing.

What You'll Do

• 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.

What You Bring

• 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.

This is an exceptional opportunity for a candidate who wishes to help shape DS within an established business that has embraced new data platforms through smart business decisions and a collaborative data function.