Job Details
Hybrid
Mid
Full-time
£45,000 - £53,000 p/y
Job Overview
Data
Hybrid
Mid
Full-time
£45,000 - £53,000 p/y
Today
Tech Stack
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Perks & Benefits
About the Role
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Operations Data Scientist
Salary: £45,000 – £53,000 + bonus + benefits
Location: Milton Keynes (hybrid: one day a week in the office)
Job type: Permanent, full-time
About our client
We’re working with a well-established organisation looking for an Operations Data Scientist to join its growing Operations Data Science function. You’ll use data science, machine learning and advanced analytics to improve how the business runs. You’ll tackle complex operational problems, challenge assumptions and turn insight into decisions that deliver measurable value.
This is an excellent opportunity for an early-career data scientist who wants real ownership of their work and close exposure to senior stakeholders.
The role
- Own defined data science use cases from start to finish: problem framing, exploratory analysis, modelling, validation, implementation and monitoring
- Apply statistical modelling, machine learning and AI techniques to operational challenges using Python and SQL
- Build and evaluate predictive, forecasting, classification, optimisation or anomaly-detection models as appropriate
- Investigate operational performance across multiple data sources and turn findings into clear, practical recommendations
- Maintain and improve operational Power BI dashboards so reporting supports real decision-making
- Build trusted relationships with senior Operations stakeholders and influence decisions with evidence
- Help shape the Operations Data Science roadmap by identifying and delivering high-value opportunities
- Work to established standards for data quality, model governance and responsible AI, with reproducible work and a clear audit trail
What you’ll need
- Professional experience in a data science role, applying statistical or machine learning techniques to real business problems (up to around two years’ experience)
- Hands-on experience building data science solutions in Python and working with data in SQL
- Experience across the full data science lifecycle, including problem framing, feature engineering, model evaluation, implementation and monitoring
- Power BI experience, including data modelling, DAX, visualisation design and dashboard performance
- Strong analytical problem-solving, with the curiosity and tenacity to dig into results
- Clear communication and data storytelling skills for both technical and non-technical audiences
- The ability to build trust with stakeholders and influence decisions
Desirable
- Data science experience in operations, retail, supply chain, service or another operationally intensive environment
- Forecasting, optimisation, classification, anomaly detection, experimentation or causal methods
- PySpark, Databricks, Azure or similar cloud and big-data technologies
- Deploying, integrating or monitoring ML models in production
- Applying generative AI or other emerging AI techniques responsibly to business problems
What’s on offer
- £45,000 – £53,000 depending on experience
- Bonus scheme
- Pension, life assurance, and medical and dental cover
- Hybrid working, with just one day a week in the office
Start date: As soon as possible
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