Battery Algorithms & Analytics Engi...

About Us

We are a fast-growing deep tech company developing AI-driven solutions for electric vehicles and energy storage systems. Our focus is on sustainability, digital battery passports, lifecycle management, and edge-to-cloud BMS technologies across Europe and beyond.

Position Overview

As a Battery Analytics Engineer, you will develop, implement, and validate analytics for Battery Energy Storage Systems (BESS), turning operational data into health estimates, degradation forecasts, safety indicators, and performance insights. You will work with battery specialists to deliver Python algorithms integrated into our digital twin platforms.

Key Responsibilities

• Develop SoC, SoH, and SoE estimation algorithms.
• Process BMS, EMS, and PCS data; identify quality issues.
• Calculate capacity loss, resistance trends, cycle counts, DoD, and cell imbalance.
• Model battery ageing and predict RUL under various scenarios.
• Detect anomalies, assess safety risks, and validate against BMS outputs.
• Analyze efficiency, availability, energy losses, and asset performance comparisons.
• Develop warranty checks, configurable thresholds, and calculation settings.
• Assess operational plans for ageing and cost impacts.
• Implement back-testing, validation, calibration using historical data; monitor model drift.
• Develop tested Python code with REST API integration.
• Document methods, assumptions, limitations, and versions.