BESS Data Analytics

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.

Overview

Volvo Energy is seeking a skilled Data Analyst with experience in analytical and data-driven solutions to build internal analytical capabilities for Battery Energy Storage System (BESS) management and operations in the real time.

Key Responsibilities

• Assess and define the business use case by analyzing power demand–supply and consumption–generation patterns, enabling our customers to meet their business objectives.
• Build real-time analytics capabilities for BESS operations to enable scheduling, dynamic load management, and optimization across single or multiple systems.
• Develop data-driven methods for diagnostics and prognostics of BESS using both real-time and historical data
  
  

Required Experience

• Proficiency in programming languages, particularly Python, and extensive experience with data exploration, visualization, and pattern recognition.
• Strong hands-on experience with machine learning algorithms, including Regression, Classification, Tree-based methods, Clustering, Time Series Analysis, and Deep Learning techniques (LSTM, GRU etc), and Reinforcement Learning
• Practical experience across the full ML lifecycle: data ingestion, preprocessing, feature engineering, model development, and validation.
• Experience with model deployment, monitoring, and retraining is highly desirable.
• Background in Prognostics and Health Management (PHM), Fault Detection and Diagnostics (FDD), and Predictive Maintenance is a strong plus.
• Familiarity with cloud platforms (preferably Microsoft Azure and Databricks) and BI tools (PowerBI preferred).
• Experience with SQL and RDBMS such as Microsoft SQL Server, MySQL, and Spark SQL.
• Exposure to LLMs and GenAI frameworks to support development of agentic AI models is a plus
  
  

Education And Qualifications

• Bachelor’s or Master’s degree in Applied Statistics, Mathematics, Engineering, or a related field.
• A minimum of 4-6 years of experience in data science and machine learning with relevant experience.
• Interest in understanding Li-ion battery technology and Battery Energy Storage Systems (BESS).
  
  

Additional Skills

• Excellent communication and presentation abilities.
• Team-oriented and able to collaborate effectively with others.
  
  

We value your data privacy and therefore do not accept applications via mail.

Who We Are And What We Believe In

We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.

Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.

Volvo Energy lives and leads the change in accelerating Volvo Group’s electrification journey and driving circularity for a better tomorrow. We bring together people with who will work in a highly diverse, equal and inclusive global context with an entrepreneurial spirit where everyone is key and directly contributes to achieving our ambitions for wanted position: better for people – better for planet – better for business. Together – from individual success to collective significance!

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