Data Scientist

Datatech; Sulham; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Datatech in Berkshire is seeking a Data Scientist for a hybrid role (2 days in the office). You will apply machine learning, predictive modelling, and statistical rigour to tackle real-world business challenges across customer behaviour, risk, and pricing.

As part of the Data team, you will build end-to-end solutions, collaborate with Data Engineering and Analytics to deploy reproducible pipelines, monitor model performance, and translate insights into measurable business impact.

Qualifications

• Proven experience building and iterating on ML models in a commercial setting.
• Strong Python skills and solid statistical grounding.
• Experience with cloud or modern data platforms (Fabric, Azure, or Databricks).
• Clear, impactful communication bridging technical models and business outcomes.

Responsibilities

• Build end-to-end ML solutions: scope, design, train, and deploy production-ready models and experiments.
• Shape the Platform: collaborate with Data Engineering and Analytics to build reproducible pipelines and integrate workloads into a unified analytics platform.
• Drive Business Impact: translate data into actionable predictions and partner with cross-functional teams to unlock competitive advantage.
• Ensure Model Excellence: monitor live model performance and promote MLOps best practices.

Tools

Microsoft Fabric

Azure

Databricks

Job description

Data Scientist

Berkshire - 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.

(url removed)

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