Data Scientist

BGA

Swindon

On-site

GBP 45,000 - 65,000

Full time

14 days+

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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

About Us

BGA is a dynamic and rapidly growing automotive parts manufacturing and distribution company serving both UK and international markets. With a strong focus on innovation, technology, and continuous improvement, we use data-driven decision-making to support our growth and enhance operational performance.

As part of our ongoing digital transformation, we are investing heavily in data, systems, and analytics capabilities. This is an exciting opportunity to join a forward-thinking business where your work will directly influence strategic decisions, operational efficiency, and future business growth.

Position Overview

We are seeking a talented and analytical Data Scientist to join our growing Data & Technology team. This role offers the opportunity to work on a diverse range of projects, including advanced analytics, predictive modelling, machine learning, business intelligence, and process optimisation. A key part of the role will involve supporting the implementation of Oracle ERP and Warehouse Management Systems, helping shape the future data architecture, reporting capabilities, integrations, and business insights across the organisation. The successful candidate will combine strong technical expertise with commercial awareness, enabling them to transform complex data into meaningful insights that drive business performance and support strategic decision-making.

Key Responsibilities

Analyse large and complex datasets to identify trends, patterns, and business opportunities.
Design, develop, and deploy machine learning models to solve business challenges and improve decision-making.
Create dashboards, reports, and visualisations that provide actionable insights to stakeholders across the business.
Collaborate with cross-functional teams to identify opportunities for data-driven improvements and innovation.
Support the implementation of Oracle ERP and WMS, contributing to data migration, reporting design, data structures, and system integrations.
Develop predictive analytics and statistical models to optimise business processes and improve operational efficiency.
Work alongside software developers to create intelligent, data-driven applications and systems.
Maintain and improve ETL processes and data pipelines to ensure reliable and accurate data availability.
Communicate findings and recommendations effectively to both technical and non-technical audiences.
Contribute to the development of a data-driven culture by promoting best practices in analytics, reporting, and data governance.

About You

Minimum of 2 years’ experience in a Data Science, Analytics, Business Intelligence, or related role.
Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related discipline.
Strong proficiency in Python for data analysis, machine learning, and automation.
Advanced SQL skills, including complex joins, subqueries, window functions, and query optimisation.
Experience developing dashboards and visualisations using tools such as Power BI.
Strong understanding of machine learning techniques, predictive modelling, and statistical analysis.
Experience building, maintaining, and improving ETL processes and data pipelines.
Excellent problem-solving and analytical skills with strong attention to detail.
Ability to translate business requirements into practical analytical solutions.
Strong communication skills with the ability to explain technical concepts clearly to non-technical stakeholders.

Desirable Experience

Experience supporting ERP implementation projects, particularly Oracle ERP solutions.
Exposure to large-scale data migration and systems transformation programmes.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Knowledge of object-oriented programming languages such as Rust or C#.
Understanding of web technologies including HTML, CSS, and JavaScript.
Experience within manufacturing, distribution, automotive, or supply chain environments.

Why Join Us

Opportunity to play a key role in a major business transformation programme.
Work with modern technologies and contribute to innovative, data-driven solutions.
Be part of a growing organisation that values technology, innovation, and continuous improvement.
Collaborative and supportive working environment.
Career development opportunities within a rapidly expanding international business.
Competitive salary and benefits package.

Benefits