Location

Gurugram, India

About Us

Zelestra (formerly Solarpack) is a multinational company fully focused on multi-technology renewables with a vertically integrated business model focused large-scale renewable projects in rapidly growing markets across Europe, North America, Latin America, Asia, and Africa. Headquartered in Spain, Zelestra has more than 1000 employees worldwide and is backed by EQT, one of three largest funds in the world with $200B in assets.

One solution doesn’t fit all, especially in energy. We’re on a journey alongside our clients, assisting them in achieving their decarbonization goals. We are committed to developing tailored-made solutions by analyzing power market challenges and co-creating structured products based on customer insights.

One of the top 10 sellers of clean energy to corporates in the world, according to Bloomberg NEF, we are committed to tailored solutions to meet customer needs.

At Zelestra we aim to be a solid and solvent company, capable of executing quality and valuable projects for the society and the environment. Therefore, we maintain a firm commitment to contribute directly to the social development of the communities and markets in which we operate, not only through the creation of economic value, but also through the generation of quality employment and through the social projects we promote.

In the efforts of supporting business with innovative digital solutions, we want to recruit an experienced and dynamic Engineer.

Mission

We are looking for a motivated Junior Data Scientist to join our dynamic team, working on developing advanced Asset Performance Management solutions for solar plants and wind farms.

The ideal candidate will have hands-on experience in building time-series forecasting models, particularly in the context of renewable energy. You will work closely with our data scientists and engineers to deploy data-driven solutions, focusing on asset performance optimization, cloud tracking using image data, and leveraging large language models (LLM) for innovative solutions. If you’re passionate about data science and sustainability, we’d love to hear from you.

Responsibilities

Model Development & Analysis: Build, test, and deploy time-series models for solar and wind energy forecasting; develop asset performance models to predict equipment health and maintenance; collaborate with senior scientists to enhance model accuracy.
LLM and Image-Based Modelling: Use large language models for asset management solutions; create visualization models from satellite/drone imagery to optimize solar plant performance.
Data Visualization & Reporting: Develop clear visualizations and dashboards (using tools like Amazon QuickSight and PowerBI) to communicate insights and track renewable energy asset metrics.
Data Management & Collaboration: Handle large IoT datasets from renewable assets stored on cloud platforms (AWS S3, Azure Blob); maintain version control with Git/GitHub.
Model Deployment & Monitoring: Work with engineers to deploy models on cloud infrastructure (AWS, Azure); establish monitoring pipelines for ongoing model performance and updates.

Job Requirements

Experience:

0-2 years as a data scientist or related role, preferably with time-series modeling experience.
Practical skills in Python, R, or similar programming languages.

Technical Skills:

Proficient in building and deploying time-series forecasting models.
Experienced with data visualization tools such as Power BI, Tableau, or equivalent.
Familiar with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
Skilled in Git and version control for collaborative projects.

Cloud & Infrastructure:

Experience with cloud platforms like AWS and Azure for data storage and processing.
Knowledge of cloud data lakes/data warehouses (AWS S3, Azure Blob Storage).

Collaboration & Communication:

Ability to collaborate effectively with cross-functional teams, including engineers and data scientists.
Strong communication skills to translate technical findings into business strategies.

What We Offer

Career opportunities and professional development in a growing multinational company with a team highly qualified.
Flexible compensation.
Full working day.
Remote work 2 days a week.

Zelestra celebrates the diversity of thought and experience that comes from a variety of backgrounds including, among others, gender, age, ethnicity... Our mission is to contribute to a fairer and more equitable society.

JR2212

Zelestra

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