Data Scientist — ML, Predictive Analytics, Hybrid (2 days)

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

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.