Senior Data Scientist in Manchester

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Job Description
Senior Data Scientist
Manchester (Hybrid – 2 days onsite)
Up to £85,000 + bonus and Benefits
The Opportunity
This is a high-impact role within a growing SaaS organisation building a next- decisioning platform used by enterprise customers across multiple markets.
You’ll be joining at a pivotal moment — moving from project-based analytics to a product-led intelligence capability, where data science directly shapes commercial outcomes, not just dashboards.
The core focus is a recommendation and optimisation engine — a product that enables users to make high-value, high-frequency decisions with confidence. Getting the models right — and proving they work — is critical.
If you’ve ever been frustrated building models that never make it into production, this is the opposite environment.
What You’ll Be Doing
Designing and deploying production-grade machine learning models that directly influence commercial decisions Building recommendation and optimisation systems across pricing, segmentation, and behavioural modelling Developing measurement frameworks to prove real-world impact (not just theoretical accuracy) Creating explainable outputs that non-technical users trust and act on Working closely with Product, Engineering, and Data to ensure models land and drive outcomes Acting as a senior voice within the team — raising standards, reviewing work, and shaping best practice
What We’re Looking For
Strong experience in machine learning / statistical modelling in production environments Proven track record of building models that are deployed, monitored, and used Experience working in commercial / product-led environments (not just research or analysis) Ability to operate with autonomy — breaking down problems and delivering at pace Strong communication — able to translate complex outputs into clear business impact
Nice to have:
Experience with pricing, optimisation, or recommendation systems Familiarity with explainable AI techniques (e.g. SHAP, feature importance) Exposure to MLOps / model lifecycle tooling (Databricks, MLflow, etc.)
The Environment
Modern data stack and tooling (lakehouse architecture, ML pipelines, AI-assisted development) Product-led culture — models are expected to ship and deliver impact Close collaboration between Data, Product, and Engineering Backed by strong investment and a clear roadmap
Why Join
Work on genuinely complex, high-value problems Build models that are actually used day-to-day Join a team at an inflection point — where you can shape direction, not just contribute Clear progression as the function scales
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
Apply
Location:
Manchester
Job Type:
FullTime
Category:
Data, Senior, Scientist, Science

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