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, employee discounts, 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, MATLAB, and data analysis.
The predicted salary is between 30000 - 50000 £ per year.
Overview
Data Analysis Engineer – BMS Algorithm at Tata Technologies (Gaydon site)
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.
Role
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.
We would like to thank all applicants for their interest; each application will be reviewed against the set criteria for the role. We would like to advise that only candidates under consideration will be contacted. If you do not hear from us within 10 working days following the closing date it will mean that unfortunately your application has not been successful. We will however retain your details for any suitable future opportunities.
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Information Technology
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Data Analysis Engineer - BMS Algorithm in Stratford-upon-Avon employer: Tata Technologies
At Tata Technologies, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. As a Lead Engineer – Carbon Components based in Warwick, you will not only lead cutting-edge projects but also benefit from a competitive salary and an extensive benefits package, including private healthcare and a robust pension scheme. Join us to be part of a global engineering company dedicated to making a positive impact through advanced manufacturing solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analysis Engineer - BMS Algorithm in Stratford-upon-Avon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to battery management systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with Python, MATLAB, and machine learning techniques relevant to BMS algorithms.
✨Tip Number 4
Don’t forget to 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 our team at Tata Technologies.
We think you need these skills to ace Data Analysis Engineer - BMS Algorithm in Stratford-upon-Avon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analysis Engineer role. Highlight your experience with BMS, Python, and any relevant projects that showcase your skills in data analysis and algorithm development.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about battery management systems and how your background makes you a perfect fit for our team at Tata Technologies.
Showcase Your Technical Skills:Don’t forget to mention your technical skills in your application. We want to see your proficiency in MATLAB, machine learning techniques, and any hands-on experience with battery systems or embedded control algorithms.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Tata Technologies
✨Know Your Algorithms
Make sure you brush up on your knowledge of battery management systems and algorithms. Be prepared to discuss specific algorithms you've worked on, how they function, and the impact they've had on performance. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Data Skills
Since this role involves a lot of data analysis, be ready to demonstrate your proficiency in Python or MATLAB. Bring examples of projects where you've used these tools for data modelling or analysis. If you can, prepare a small case study to discuss during the interview.
✨Understand Compliance Standards
Familiarise yourself with functional safety standards like ISO 26262 and IEC 61508. Be prepared to discuss how these standards apply to your work and any experiences you have with compliance in previous roles. This will highlight your attention to detail and commitment to quality.
✨Collaborate and Communicate
This role requires cross-functional collaboration, so be ready to talk about your teamwork experiences. Share examples of how you've worked with different teams, tackled challenges, and contributed to process improvements. Strong communication skills are key, so practice articulating your thoughts clearly.
