Zelestra is hiring for an fresher entry level Junior Data Scientist role in India

Position:

• Junior Data Scientist

Company:

• Zelestra (formerly Solarpack)

Location:

• Gurugram, India

Job type:

• Full-time

Job mode:

• Hybrid (2 days/week remote)

Job requisition id:

• JR2212

Years of experience:

• 0 to 2 years

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Company Description

• Zelestra is a global renewable energy company with a strong presence across multiple continents including Europe, North America, Latin America, Asia, and Africa.

• Headquartered in Spain, Zelestra is backed by EQT, one of the largest global investment funds managing over $200 billion in assets.

• The company operates a vertically integrated business model, focusing exclusively on large-scale renewable energy projects.

• Known for its customized approach, Zelestra supports clients on their decarbonization journey by analyzing challenges in power markets and offering tailored renewable energy solutions.

• Recognized by Bloomberg NEF as one of the top 10 clean energy sellers to corporates globally.

• Maintains a strong commitment to sustainability, community development, and environmental responsibility through social projects and quality employment opportunities.

• With over 1000 employees globally, Zelestra is at the forefront of blending technological innovation with sustainable development.

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Profile Overview

• This role offers an exciting opportunity to work on cutting-edge data science projects aimed at enhancing the performance of solar and wind assets.

• As a Junior Data Scientist, you will be part of the Asset Performance Management team, contributing to forecasting, predictive maintenance, and AI-based optimization.

• Your work will directly influence how energy systems perform, contributing to cleaner and more efficient renewable energy generation.

• You’ll collaborate with experienced data scientists and engineers on impactful projects involving time-series models, LLMs, and image-based analytics.

• This position is ideal for someone who is eager to grow in the renewable energy sector and passionate about applying data science to solve real-world challenges.

• You will work on large IoT datasets and utilize tools across AWS, Azure, and popular machine learning frameworks.

• The role combines technical responsibilities with business-oriented thinking, requiring strong communication skills to present insights and collaborate effectively.

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Qualifications

• 0 to 2 years of experience in a data science or related analytical role, ideally with a focus on time-series data or renewable energy.

• Comfortable with Python or R for data manipulation, analysis, and model development.

• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is highly desirable.

• Experience working with data visualization platforms like Power BI, Tableau, or similar tools to communicate technical insights.

• Hands-on experience managing datasets stored on cloud platforms such as AWS S3 or Azure Blob Storage.

• Knowledge of Git or GitHub for version control and collaborative development workflows.

• Ability to collaborate within cross-functional teams and translate technical findings into practical business insights.

• Prior exposure to image data modeling or cloud tracking is a bonus, though not mandatory.

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Additional Info

• The company promotes a flexible work culture, including the option to work remotely two days per week.

• You’ll receive opportunities for growth and skill development within a fast-expanding multinational environment.

• This is a chance to build a meaningful career in the clean energy sector with exposure to international projects and cutting-edge technologies.

• Zelestra values diversity in all forms and encourages individuals from varied backgrounds to apply.

• The company actively contributes to social and community development projects, adding purpose to your daily work.

• Employees enjoy access to a flexible compensation structure and a full working day setup designed for efficiency and well-being.

• This role is ideal for entry-level professionals looking to start their journey in data science with a real-world impact.

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Responsibilities

• Model Development & Analysis:

  • Develop and implement time-series forecasting models to predict energy generation from solar and wind farms.

  • Build asset performance models to monitor equipment health and anticipate maintenance needs.

  • Collaborate with senior scientists and engineers to improve model precision and robustness.

• LLM and Image-Based Modeling:

  • Leverage large language models (LLMs) to enhance asset management and automate insights.

  • Work with satellite and drone image data to identify patterns and optimize plant layout and performance.

• Data Visualization & Reporting:

  • Create intuitive dashboards and reports using tools like Amazon QuickSight and Power BI.

  • Summarize key metrics for energy assets and ensure they are accessible to internal stakeholders.

• Data Management & Collaboration:

  • Work with massive IoT datasets captured from renewable energy assets stored on AWS and Azure cloud systems.

  • Apply version control tools like Git to maintain clean codebases and manage collaboration.

• Model Deployment & Monitoring:

  • Support the deployment of forecasting and optimization models on cloud infrastructure.

  • Set up pipelines to monitor model performance and ensure they stay accurate and reliable over time.

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Skills Required

• Programming & Data Handling:

  • Python, R

  • Git, GitHub

  • Time-series forecasting

• Visualization Tools:

  • Power BI

  • Amazon QuickSight

  • Tableau

• Machine Learning Frameworks:

  • Scikit-learn

  • TensorFlow

  • PyTorch

• Cloud Platforms & Infrastructure:

  • AWS S3, Azure Blob Storage

  • Experience in model deployment on cloud

• Soft Skills:

  • Strong communication and collaboration

  • Analytical mindset

  • Business-oriented problem solving

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Please click here to apply.