At a Glance
- Tasks: Lead data analysis and develop algorithms for next-gen battery management systems.
- Company: Join Tata Technologies, a leader in innovative product development.
- Benefits: Competitive salary, pension scheme, discounts on vehicles, and health plans.
- Other info: Dynamic team environment with opportunities for growth and learning.
- Why this job: Drive innovation in energy storage and make a real impact on technology.
- Qualifications: Degree in Engineering or related field; skills in Python and data analysis.
The predicted salary is between 28800 - 35200 £ per year.
At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the world’s leading manufacturers. Due to our continued growth we are recruiting for a Data Analysis Engineer – BMS Algorithm to be based at our customer’s site in Gaydon.
Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under the Automotive SPICE (ASPICE) process framework, including systems engineering, software engineering, coding, and all levels of functional testing. Beyond core development, ESS also integrates critical supporting processes such as project management, risk assessment, functional safety, and cybersecurity, ensuring compliance with ASPICE standards and delivering reliable, secure, and high-quality embedded systems & solutions.
We’re looking for a forward-thinking engineer to take the lead on data analysis and development of BMS algorithms for the next-generation battery management systems. You’ll be part of a dynamic team driving innovation in energy storage technologies, ensuring functional integrity and regulatory alignment in algorithm development.
Area of Responsibility
- Compliance & Controls
- Design, implement, and maintain control frameworks to ensure battery algorithm development
- Collaborate with internal audit, finance, and engineering teams to support documentation and testing of controls
- Prepare detailed reports and presentations for assessments
- Algorithm Development
- Work closely with cross-functional teams to design algorithms for battery state estimation, performance optimization, and degradation modelling
- Validate models using statistical methods and simulation tools to meet safety, efficiency, and reliability goals
- Data Analysis & Insights
- Analyse high-resolution battery data from field units and test environments
- Build pipelines to process, visualize, and extract trends that inform algorithmic performance
- Apply machine learning techniques to enhance anomaly detection and predictive maintenance
- Cross-functional Collaboration
- Interface with software, hardware, and compliance teams to drive integrated product development
- Participate in peer reviews and contribute to process improvement initiatives
Knowledge / Experience
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Applied Mathematics, or related field
- Strong knowledge of BMS
- Proficient in Python, MATLAB, or similar for modeling and data analysis
- Experience in battery systems, embedded control algorithms, or energy storage technologies
- Familiarity with statistical validation techniques and machine learning concepts
- Hands-on experience with battery hardware, cell instrumentation, or BMS platforms
- Exposure to functional safety standards (ISO 26262, IEC 61508)
- Strong documentation and communication abilities
In return for bringing your expertise to our business we offer a competitive salary along with excellent benefits including:
- Pension Scheme – We match employee contribution up to 5% of salary
- Tata Jaguar Land Rover Privilege Scheme - up to 20% off new JLR vehicles
- Health Assured – Employee Assistance Program
- Health Shield – Private Health Cash Plan
If you are passionate about bringing innovation to the projects you work on and want to join a global company, then this is the place for you.
Tata Technologies: Engineering a better world.
Data Analysis Engineer - BMS Algorithm employer: Tata Technologies Ltd.
As an Application Architect at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and professional growth. We offer competitive benefits, including flexible working arrangements and opportunities for continuous learning, all set within a vibrant location that fosters creativity and teamwork. Join us to make a meaningful impact on the mSuite product portfolio while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analysis Engineer - BMS Algorithm
✨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 Tata Technologies Ltd.!
✨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 Analysis Engineer - BMS Algorithm at Tata Technologies Ltd..
✨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 Tata Technologies Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Data Analysis Engineer - BMS Algorithm at Tata Technologies Ltd., 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 Analysis Engineer - BMS Algorithm
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 Tata Technologies Ltd., 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 Tata Technologies Ltd.. 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 Tata Technologies Ltd.
✨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 Tata Technologies Ltd.!
✨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.