About Us:
Powerverse, established by Lightsource BP, is a leader in the growing Energy Management market. At Powerverse, we are empowering people and communities to run their lives on sustainable energy with ease. Our smart ecosystem connects to solar power, EV charging, battery storage and more, so customers can take control of costs and make energy go further in their business or home.
We are empowering a smart, connected, electric world that is convenient, economical, and clean. We make it simpler to shift to an electric world with easier buying, installation, and service journeys by taking away the option overload with our smart AI and automation at the premises. Our teams Build Products that Matter, and we value being Curious, Connected, Passionate and Reliable.
Job Overview:
We are seeking an experienced Data Scientist to join our Energy Analytics team, focusing on renewable energy, electric vehicles (EV), solar power, and battery storage systems. This role combines data engineering, warehouse management, and advanced analytics to drive insights in the sustainable energy sector.
Key Responsibilities:
1. Data Engineering & Infrastructure:
- Design, implement, and maintain scalable data warehouse architecture for energy-related datasets.
- Develop and optimize ETL pipelines for processing large-scale energy consumption, generation, and storage data.
- Create automated data quality monitoring systems for renewable energy and EV charging networks.
- Implement data governance standards and documentation practices.
2. Analytics & Modeling:
- Develop predictive models for renewable energy generation forecasting.
- Create optimization algorithms for battery storage systems and grid load balancing.
- Build machine learning models to analyze EV charging patterns and usage trends.
- Conduct time series analysis for energy demand prediction and grid stability.
3. Business Impact:
- Partner with stakeholders to identify opportunities for data-driven optimisation in energy systems.
- Create dashboards and visualisation tools for monitoring renewable energy performance.
- Develop ROI analysis frameworks for solar installation and battery storage projects.
- Provide analytical support for strategic decision-making in energy infrastructure.
QUALIFICATIONS, KNOWLEDGE, AND EXPERIENCE:
1. Required Qualifications:
- Master's degree or Ph.D. in Data Science, Computer Science, Engineering, or related field
- 5+ years of experience in data science, with at least 2 years in the energy sector
- Strong programming skills in Python, SQL, and data engineering tools
- Experience with big data technologies (Kafka, TimeseriesDBs) and cloud platforms (AWS/Azure/GCP)
- Proven track record in building and deploying machine learning models and platform products in general.
- Knowledge of time series analysis and forecasting technique
2. Technical Skills:
- Languages: Python, SQL, R
- Big Data: Apache Spark, Hadoop, Kafka, or similar
- Timeseries Database:InfluxDB or TimescaleDB, or similar
- Cloud Platforms: AWS Redshift, Azure Synapse, or similar
- ML/AI Tools: scikit-learn, TensorFlow, PyTorch
- Data Visualisation: Power BI, Tableau, or similar
- Version Control: Git
3. Preferred Qualifications:
- Experience with energy management systems or SCADA
- Knowledge of renewable energy systems and grid operations
- Familiarity with energy market dynamics and regulations
- Experience with IoT data processing and real-time analytics
- Publications or patents in energy analytics
4. Key Competencies
- Strong analytical and problem-solving skills
- Excellent communication abilities to explain complex concepts
- Self-motivated with ability to work independently
- Project management and stakeholder communication experience
- Passion for renewable energy and sustainability
5. Impact & Growth
In this role, you will:
- Drive the transformation of energy data into actionable insights
- Influence strategic decisions in renewable energy deployment
- Contribute to sustainability goals through data-driven solutions
- Lead innovative projects in EV infrastructure and grid optimization
- Mentor junior team members and share knowledge
Why Join Us:
Join a dynamic and innovative team that values creativity, collaboration, and customer focus. You will have the opportunity to make a significant impact on our customers' experiences and contribute to the growth and success of our business.
If you are passionate about creating meaningful customer experiences and driving customer engagement, we encourage you to apply and be part of our exciting journey!
