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- Tasks: Use data to solve business problems and support innovation in manufacturing and energy.
- Company: Join a globally respected manufacturing group with a fast-growing digital function.
- Benefits: Enjoy a competitive salary, bonus, enhanced benefits, and hybrid work options.
- Why this job: Be part of a dynamic team driving smarter decisions and sustainable practices.
- Qualifications: Solid background in data science, proficiency in Python and SQL, and teamwork experience required.
- Other info: Office time in Cheltenham is necessary; no sponsorship available.
The predicted salary is between 43200 - 72000 £ per year.
Data Scientist Hybrid Up to 2 days/week on-site in Cheltenham Permanent – Up to £60,000 + bonus and enhanced benefits We\’re hiring a Data Scientist to join a fast-growing digital function within a globally respected manufacturing group. You’ll play a critical role in using data to solve business problems, shape products, and support sustainable innovation across manufacturing, energy, and industrial markets. About the Role Part of the digital team, you’ll work closely with domain experts, engineers, and commercial stakeholders to develop models that drive smarter decisions. This includes improving operational efficiency, building predictive capabilities, and supporting strategic projects. Key Responsibilities Collaborate with internal customers to define business problems and translate them into data science tasks Use statistical analysis, machine learning, and visualisation to extract insights Build prototypes and production-level models using Python and cloud services (Azure preferred) Present findings clearly to non-technical stakeholders Support data governance and model lifecycle management What We\’re Looking For Solid background in data science, analytics, or applied statistics Proficiency in Python, SQL, and data visualisation tools (e.g. Power BI) Experience working in cross-functional teams in a commercial environment Knowledge of Azure ML, Databricks, or equivalent platforms Comfortable managing stakeholders and explaining complex concepts clearly Desirable Background in manufacturing, energy, or engineering sectors Experience applying models in a product or operational context Exposure to Agile delivery methods and data engineering concepts This position will have some office time in Cheltenham so you must be willing to commute to the office, they unfortunately ae not able to offer sponsorship
Data Scientist employer: IMT Resourcing Solutions
Contact Detail:
IMT Resourcing Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and Azure. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the manufacturing and energy sectors. Attend industry events or join relevant online communities to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss real-world applications of data science in a commercial context. Think of examples where you've used data to solve business problems or improve processes, as this will demonstrate your ability to translate technical skills into business value.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. Since you'll be presenting findings to non-technical stakeholders, being able to communicate effectively will be crucial. Consider doing mock presentations to friends or family to refine your approach.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, analytics, and applied statistics. Emphasise your proficiency in Python, SQL, and any data visualisation tools you've used, such as Power BI.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Scientist role and how your background aligns with the company's needs. Mention your experience with cross-functional teams and your ability to communicate complex concepts clearly.
Showcase Relevant Projects: If you have worked on projects that involved statistical analysis, machine learning, or building predictive models, be sure to include these in your application. Highlight any experience with Azure ML or Databricks, as well as your understanding of data governance.
Prepare for Interviews: Be ready to discuss your technical skills and how you've applied them in real-world scenarios. Prepare to explain your thought process when solving business problems using data and how you would present findings to non-technical stakeholders.
How to prepare for a job interview at IMT Resourcing Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, SQL, and data visualisation tools like Power BI. Bring examples of past projects where you've successfully applied these skills to solve real business problems.
✨Understand the Business Context
Research the manufacturing, energy, and industrial markets relevant to the company. Be ready to explain how your data science expertise can directly impact their operations and decision-making processes.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining complex data concepts in simple terms. During the interview, demonstrate your ability to present findings clearly, as this will be crucial when collaborating with engineers and commercial stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to define a business problem, translate it into a data science task, and the steps you took to achieve a successful outcome.
