Data Scientist - ML, BI & ERP Analytics (Flexible)

BGA; Swindon; On-site; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Free onsite parking

Workplace pension

28 days holiday including bank holiday

Additional holiday entitlement linked

Free tea and coffee

Flexible working opportunities

Ongoing training and professional dev

Job summary

BGA is a dynamic automotive parts manufacturer and distributor in Swindon. We seek a Data Scientist to join our Data & Technology team to work on analytics, predictive modelling, BI, and process optimisation, supporting Oracle ERP and Warehouse Management Systems, shaping data architecture and reporting capabilities.

You will transform complex data into actionable insights, collaborate with software developers, and communicate findings to stakeholders.

Qualifications

• Minimum 2 years’ experience in Data Science, Analytics, BI, or related role.
• Strong Python, SQL, and data modelling skills.
• Experience creating dashboards with Power BI and BI reporting.
• Ability to translate business requirements into analytical solutions.

Responsibilities

• Analyse large datasets to identify trends and opportunities.
• Design and deploy ML models to improve decision-making.
• Create dashboards and visualisations for stakeholders.
• Collaborate with cross-functional teams on data-driven improvements.
• Support ERP and WMS data integration and reporting designs.
• Develop predictive analytics to optimise processes.
• Maintain ETL data pipelines and data quality.
• Communicate findings clearly to technical and non-technical audiences.
• Promote analytics governance and best practices.

Skills

Python

SQL

Machine learning

Data analysis

Data visualization

Education

Degree in Data Science or related field

Tools

Power BI

ETL pipelines

Job description

BGA is a dynamic automotive parts manufacturer and distributor in Swindon. We seek a Data Scientist to join our Data & Technology team to work on analytics, predictive modelling, BI, and process optimisation, supporting Oracle ERP and Warehouse Management Systems, shaping data architecture and reporting capabilities.

You will transform complex data into actionable insights, collaborate with software developers, and communicate findings to stakeholders.