Data Scientist

Via Match Limited; Brighton; Hybrid; GBP 45,000 - 53,000; Full time

Benefits offered by this job

Bonus scheme

Pension

Life assurance

Medical cover

Dental cover

Hybrid working

Job summary

Via Match Limited is partnering with a well-established organisation to hire an Operations Data Scientist. You will apply data science, ML and analytics to improve operational performance and deliver measurable value.

This early-career role offers real ownership, strong stakeholder exposure and hybrid work in Milton Keynes. Competitive salary £45,000–£53,000 with bonus and benefits, plus one day a week in the office.

Qualifications

• Up to around two years' experience in a data science role.
• Hands-on Python and SQL experience.
• Experience with Power BI and dashboards.
• Strong analytical and storytelling skills for diverse audiences.

Responsibilities

• Own defined data science use cases from start to finish: framing, exploration, modeling, validation, implementation and monitoring.
• Apply statistical modelling and ML techniques to operational challenges using Python and SQL.
• Build and evaluate predictive, forecasting, classification, or anomaly-detection models as appropriate.
• Investigate operational performance across data sources and turn findings into practical recommendations.
• Maintain and improve operational Power BI dashboards to support real decisions.
• Build trusted relationships with senior Operations stakeholders and influence decisions with evidence.
• Help shape the Operations Data Science roadmap by identifying high-value opportunities.
• Ensure data quality, model governance and reproducible work with audit trails.

Skills

Data science

Python

SQL

Power BI

Data storytelling

Tools

PySpark

Databricks

Azure

Job description

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