At a Glance
- Tasks: Transform data into actionable insights and develop advanced analytics solutions.
- Company: Join BRUSH Group, a leader in energy solutions committed to sustainability.
- Benefits: Enjoy competitive salary, flexible working, generous holiday allowance, and professional development.
- Other info: Dynamic environment with opportunities for career growth and innovation.
- Why this job: Make a real impact on decarbonisation efforts while advancing your data science skills.
- Qualifications: Degree in Data Science or related field; strong Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
About The Role
Why choose us?
BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the
BRUSH brand has stood for engineering excellence.
We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050.
What's the role?
The Data Scientist, working within the Group IT Data & AI team, is responsible for transforming data into clear, trusted and actionable insights.
Working with stakeholders across the business, the Data Scientist will design, develop and deploy BI, advanced analytics, ML models and AI driven solutions.
This is a hands‑on, outcome-focused role combining statistical, data science and analytical expertise with strong commercial curiosity.
The Data Scientist will own selected use cases across the full lifecycle—from problem definition, data exploration and feature engineering through to model development, deployment, monitoring and continuous improvement and will be accountable for demonstrating measurable operational or commercial value.
The role will also influence technical and governance standards and help shape how data science and AI are adopted across the Group.
Key Responsibilities
- Translate business challenges into BI, analytical, statistical and Machine Learning solutions.
- Identify patterns, trends and opportunities within complex datasets to support strategic and operational decision making.
- Develop, validate and deploy predictive models, forecasting models and AI solutions that deliver measurable business value.
Evaluate model effectiveness and monitoring model drift.
- Develop and maintain governed, trusted datasets for BI/analytics and data science use cases.
- Ensure appropriate data quality, lineage and governance controls are considered throughout the analytical lifecycle.
- Work closely with Data Engineers to ensure data pipelines and analytical datasets meet reporting/BI and modelling requirements.
- Contribute to the design and optimisation of data models that support analytics and Machine Learning.
- Support the preparation, cleansing, transformation and feature engineering of data for analytical and AI use cases.
- Identify opportunities to improve efficiency, automation and decision making through advanced analytics and AI
What are we looking for
- Degree in Data Science or a related numerate discipline, or equivalent experience.
- Evidence of continued professional development in BI, data science, advanced analytics, ML, AI.
- Strong understanding of statistical methods, experimental techniques, and ML principles.
- Advanced data science and analytical capability, with the judgement to turn complex business challenges into robust approaches and measurable outcomes.
- Strong practical capability in Python and SQL across data exploration, feature engineering, modelling and validation, with experience of Spark and modern cloud data platforms.
- Expertise in statistical analysis, forecasting, predictive modelling, classification, clustering and optimisation, including developing and deploying production machine-learning solutions.
- Experience helping a growing data function establish technical standards, governance, best practices and effective ways of working.
- Proven success in a Data Scientist or comparable advanced analytics role, delivering measurable operational or commercial value.
- Substantial end-to-end experience defining, building, deploying and monitoring machine-learning and advanced analytics solutions in production or operational environments.
What' s in it for you?
- Competitive salary
- Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles)
- Flexible and Hybrid working options (role dependant)Life insurance – 4 x annual salary
- Enhanced Company Pension scheme
- 24/7 free and confidential Employee Assistance Programme
- GP24 Service – Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions.
- BRUSHRewards – Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself.
- Family friendly policies including Enhanced Maternity/Paternity
- Bike2work scheme
- Long Service Awards
- Developing our people is important to us - we support and encourage development by offering ongoing professional development and training.
About The Company
BRUSH Group provide agile and adaptive engineering solutions and products, including consultancy services, design, and project management as well as award‑winning product technology, to a wide range of projects.
A chosen partner for national and regional power generation and distribution network operators, through innovation and a commitment to delivering solutions that address grid‑resilience and drive system change, we support the global drive to net‑zero, helping create a future‑proof Infrastructure.
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Data Scientist in Loughborough employer: BRUSH
BRUSH is an attractive employer due to its commitment to sustainability and innovation in engineering. The company provides opportunities for professional development and encourages collaboration across teams, making it a great place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Loughborough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like BRUSH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at BRUSH.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BRUSH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at BRUSH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in Loughborough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BRUSH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BRUSH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at BRUSH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at BRUSH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
