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- Tasks: Analyse data, design machine learning models, and create insightful dashboards.
- Company: Join BG Automotive, a leader in the Automotive Aftermarket spares industry.
- Benefits: Competitive salary, modern office, supportive team, and growth opportunities.
- Why this job: Make an impact with data-driven solutions in a dynamic environment.
- Qualifications: 2+ years in data science, strong Python and SQL skills required.
- Other info: Collaborative culture that values innovation and fresh ideas.
The predicted salary is between 28800 - 43200 ÂŁ per year.
ABOUT BG AUTOMOTIVE
BG Automotive (BGA) is a leader in the Automotive Aftermarket spares industry, catering to both UK and export markets. At BGA, you will join a dynamic environment where innovation and data‑driven decision‑making are at the core of our success. As a Data Scientist, you will work on impactful projects that range from advanced analytics and predictive modelling to business intelligence and process optimisation. Collaborate with cross‑functional teams to extract insights from data and develop solutions that enhance efficiency and drive growth. We are looking for a curious and creative individual with a strong analytical mindset, technological fluency, and a passion for solving complex problems. If you thrive on uncovering insights through data and developing actionable solutions, BGA is the ideal place to advance your career.
What you will do:
- Analyse large and complex datasets to uncover insights and inform decision‑making.
- Design and implement machine learning models to address business challenges.
- Develop dashboards, reports, and visualisations to present data‑driven insights.
- Collaborate with cross‑functional teams to identify opportunities for data‑driven improvements.
- Assist with the implementation of Oracle ERP, contributing data expertise in replacing legacy systems and helping shape data flows, reporting structures, and integrations from the ground up.
- Improve processes through predictive analytics and statistical modelling.
- Create data‑driven systems in collaboration with our software development team.
- Communicate findings clearly and effectively to both technical and non‑technical stakeholders.
Required Skills:
- Proven experience (2+ years) in data science, machine learning, and statistical analysis.
- Degree in Data Science, Computer Science, Mathematics, or a related field.
- Proficiency in Python for data analysis and machine learning.
- Strong knowledge of data visualisation tools (preferably Power BI).
- Strong SQL skills – comfortable with joins, subqueries, window functions, and query optimisation.
- Experience with ETL processes and building/maintaining data pipelines.
- Excellent communication skills, with the ability to explain complex ideas simply.
- Ability to translate business problems into analytical solutions.
Desirable Skills:
- Experience with Oracle ERP or exposure to large‑scale ERP implementation projects.
- Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud).
- Exposure to Rust, C# or other object‑oriented programming languages.
- Knowledge of frontend development (HTML, CSS, JavaScript) is a plus.
What We Offer You:
- Competitive Salary: We are open to tailoring the job offer to fit your skills and experience.
- Environment: Work from our modern Swindon offices.
- Growth Opportunities: Be part of an ambitious, fast‑growing company.
- Supportive Team: Join a close‑knit group that values fresh ideas, innovation, and teamwork.
- Workplace pension.
- On‑site parking, Drinks & Fruit complimentary, Service gifts for 5, 10, 15 plus years, Increased holiday for long service.
Data Scientist in England employer: BG Automotive
Contact Detail:
BG Automotive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at BGA on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects. Whether it's predictive models or dashboards, having tangible examples will make you stand out during interviews.
✨Tip Number 3
Practice your communication skills. You’ll need to explain complex data insights to non-technical folks. Try explaining your past projects to friends or family to get comfortable with simplifying your language.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the BGA team.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Scientist role at BGA. Highlight your experience with data analysis, machine learning, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our needs. Be sure to mention specific projects or experiences that demonstrate your analytical mindset.
Showcase Your Technical Skills: Don’t forget to highlight your proficiency in Python, SQL, and any data visualisation tools like Power BI. We love seeing examples of your work, so if you have a portfolio or GitHub, include that too! It helps us understand your technical fluency.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at BG Automotive
✨Know Your Data
Before the interview, brush up on your data science fundamentals. Be ready to discuss your experience with large datasets, machine learning models, and statistical analysis. Prepare examples of how you've used Python and SQL in past projects to solve real business problems.
✨Showcase Your Visualisation Skills
Since data visualisation is key for this role, come prepared with examples of dashboards or reports you've created, preferably using Power BI. Be ready to explain your thought process behind the design and how it helped stakeholders make informed decisions.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The ability to communicate findings effectively to both technical and non-technical audiences is crucial. Consider doing mock interviews with friends or colleagues to refine your communication skills.
✨Collaborate and Innovate
BGA values teamwork and innovation, so think of examples where you've collaborated with cross-functional teams. Highlight any experiences where your insights led to process improvements or innovative solutions, especially in relation to ERP systems or cloud platforms.