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- Tasks: Analyse complex datasets and develop machine learning models to drive business insights.
- 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 a real impact with data-driven solutions in a dynamic environment.
- Qualifications: 2+ years in data science, strong analytical skills, and proficiency in Python.
- Other info: Collaborative culture that values innovation and fresh ideas.
The predicted salary is between 28800 - 48000 £ per year.
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 optimization. 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 visualizations 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 visualization 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’re 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 Hyde employer: BG Automotive
Contact Detail:
BG Automotive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Hyde
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at BGA. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Create a portfolio showcasing your data projects. Whether it's predictive models or cool visualisations, having tangible examples of your work can really impress hiring managers. Don't forget to share it on platforms like GitHub!
✨Ace the Interview
Prepare for your interviews by practising common data science questions and case studies. Be ready to explain your thought process and how you tackle problems. Remember, they want to see how you think, not just what you know!
✨Apply Through Our Website
Make sure to apply directly through the BGA website. It shows you're genuinely interested and gives you a better chance of being noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Scientist in Hyde
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored 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 explain 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 technical skills in Python, SQL, and data visualisation tools like Power BI. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at BG Automotive
✨Know Your Data
Before the interview, dive deep into the types of data BGA works with. Familiarise yourself with automotive industry trends and how data science can drive improvements in this sector. Being able to discuss specific datasets or case studies will show your genuine interest and expertise.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python, SQL, and data visualisation tools like Power BI. You might be asked to solve a problem on the spot, so practice coding challenges and be ready to explain your thought process clearly.
✨Communicate Effectively
Since you'll need to present complex ideas to both technical and non-technical stakeholders, practice explaining your past projects in simple terms. Use examples that highlight your ability to translate business problems into analytical solutions.
✨Collaborative Mindset
BGA values teamwork, so be ready to discuss how you've worked with cross-functional teams in the past. Share examples of how you’ve collaborated to extract insights from data and implemented solutions that improved processes or drove growth.