Battery Data Scientist

Fluence (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future. For more information, please visit fluenceenergy.com.

Job Description:

This position is part of Fluence’s Battery Systems and Analytics team and will play a key role in advancing battery analytics and enhancing our product offering. The platform monitors, analyzes, and optimizes the performance of Battery Energy Storage Systems (BESS) and renewable energy assets. The role will be based in Fluence’s excellence center in Bangalore, India, and will report to the Director of Battery Systems Engineering in the USA.

As a Battery Data Scientist, you will contribute to data science projects aimed at improving BESS performance through advanced monitoring, analytics, and control. Leveraging your experience in statistics, mathematical optimization, Machine Learning (ML), Artificial Intelligence (AI), and battery systems, you will develop data-driven models and analytics solutions that extract actionable insights from large datasets, delivering value to our customers. Additionally, you will create

visualizations and reports that communicate model results and key insights, providing a clear and comprehensive overview of the assets. You will collaborate with product managers, other data scientists, and subject matter experts to align on technical requirements and work with software engineers to integrate the developed models into Fluence’s platforms.

Key responsibilities include:

· Develop advanced analytics, KPIs, and alerts using operational data from batteries to assess performance, degradation, efficiency, and detect emerging issues.

· Build, train, and maintain first-principles, ML / AI, and optimization models for battery performance assessment and control applications such as forecasting, anomaly detection, and predictive maintenance.

· Create insightful visualizations and reports that effectively communicate model results, performance metrics, and key findings to internal and external stakeholders.

· Collaborate effectively with cross-functional teams to understand product requirements, develop robust data analytics and control models

Must have

· Bachelor’s degree in a relevant field (e.g., Data Science, Computer Science, Electrical / Mechanical / Chemical Engineering, Mathematics) with 3 to 7+ years of professional experience.

· Professional experience in data science, data / software engineering, controls, operations research, or related roles in the energy sector (e.g., battery storage, renewable energy, power systems) or industrial automation.

· Programming skills in Python or comparable programming language, with strong experience in scientific libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, Pyomo, and Plotly).

· Proven experience developing scalable, maintainable, production-grade analytics solutions in collaboration with software engineering teams.

· Proficiency in statistical analysis, ML / AI models, and/or mathematical optimization.

· Solid understanding of the energy sector, with at least some familiarity with battery storage and renewable energy technologies.

· Exceptional analytical and problem-solving skills, coupled with a passion for learning and tackling new technical challenges.

· Strong organization skills and demonstrated ability to collaborate and build effective working relationships.

· Proven ability to work independently, take initiative, manage tasks with minimal supervision, meet deadlines, and deliver solutions quickly and at high quality.

· Excellent written and verbal communication skills in English.

Nice to have

· Master’s degree in a relevant field.

· Strong background in power systems, renewable energy, and energy storage.

· Prior professional experience and/or education in lithium-ion battery modeling and analytics, including understanding of cell chemistry, equivalent circuit models, performance metrics, and degradation factors.

· Experience with additional programming languages.

· Proven experience with cloud technologies, preferably AWS.

· Proficient in collaboration and project management tools (e.g., Jira, GitHub).

· Hands-on experience with agile development frameworks, ideally Scrum.

Our Culture

At Fluence, our culture is the foundation that drives our ambitious growth strategy and fuels our mission to transform the future of energy. Our core cultural pillars empower us to innovate, collaborate, and lead with purpose, ensuring we continue to deliver unparalleled value to our customers and the world.

Unleash Voices

We believe every voice matters. We encourage openness, active listening, and decisive action to create a culture where everyone has the opportunity to contribute to our success. We foster an environment where diverse perspectives are heard and valued, driving innovation and progress.

Customer Fluent

Our customers are at the heart of everything we do. We’re committed to delivering exceptional value that exceeds expectations by understanding our customers' needs and adapting swiftly to meet them. Our deep focus on customer satisfaction drives us to continuously improve and innovate.

Infinite Impact

We are committed to creating the impossible. We push boundaries to deliver sustainable, game-changing solutions that shape a brighter, more energy-efficient future for all. Our team is passionate about making a lasting impact that will resonate for generations to come.

All In

We are all in for growth. Our teams are relentlessly focused on identifying and seizing opportunities that propel us forward. We embrace an ownership mindset, pushing ourselves and each other to accelerate progress and create lasting success.