Data Scientist

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
• Free onsite parking
• Workplace pension
• 28 days holiday including bank holidays
• Additional holiday entitlement linked to long service
• Free tea and coffee
• Flexible working opportunities
• Ongoing training and professional development
If you are passionate about data, enjoy solving complex business problems, and want to make a meaningful impact within a growing international organisation, we would love to hear from you