Data Scientist

About Company

Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India.

Job Description

ReNew Power is World’s first renewable energy company to be recognized as a Lighthouse by World Economic Forum. The company has been recognized for adoption of 4 IR technologies to achieve growth that is not only profitable, but also sustainable. ReNew Digital (“ReD.) has been instrumental in this. ReD. consistently work towards development of new advance analytic, AI and machine learning models that could lead to tangible business value to the organization.

As a Senior Data Scientist, you will be responsible for providing simple and intuitive solutions to the most complex problems in renewable industry. This will involve building machine learning, deep learning and generative ai models which are coupled with contextual business knowledge. You will also use both management experience and data science expertise to lead analytics projects and mentor junior data scientists. You will be an integral part of conceptualizing, scoping and delivering complex analytics projects. You will do and oversee the development, testing and maintenance of analytical models which mimic business decisions. You will work with a world-class team of site managers, subject experts, data engineers and data scientists to build the next generation data-driven renewable company. Additionally, you will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics center of excellence.

Roles-

Build and deploy production-grade ML pipelines for varied use cases across operations, manufacturing, supply chain, and moreManage analytics strategy across multiple use cases

Work hands-on in designing, training, and fine-tuning models across traditional ML, deep learning, and preferably GenAI (LLMs, diffusion models, etc.)Collaborate with data scientists to transform exploratory notebooks into scalable, maintainable, and monitored deployments

Implement CI/CD pipelines, version control, and experiment tracking using tools like MLflow, DVC, or similar

Do shadow deployment and A/B testing of production models

Partner with data engineers to build data pipelines that support real-time or batch model inference

Ensure high availability, performance, and observability of deployed ML solutions using MLOps best practices

Conduct code reviews, performance tuning, and contribute to ML infrastructure improvements

Support the end-to-end lifecycle of ML products

Oversee and mentor large team of associate and junior-level data scientists, de-bottlenecking issues related to project execution

Contribute to knowledge sharing, reusable component development, and internal upskilling initiatives

Required-

Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferred

Proven experience of 3-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects

Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI

Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorchHands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS)

Proficiency in Python is a must.

Proficiency in SQL/ spark for data manipulation is a plus

Worked in developing analytics solutions in 3-4 domains

Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams

Experience in implementing and productionizing Generative AI applications using LLMs is a plus(e.g., OpenAI, HuggingFace, LangChain, RAG architectures)

Profile & Eligible Criteria

Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferredProven experience of 4-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects

Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI

Experience in implementing and productionizing Generative AI applications using LLMs (e.g., OpenAI, HuggingFace, LangChain, RAG architectures)

Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch

Hands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS)

Proficiency in Python is a must. Proficiency in SQL/ spark for data manipulation is a plus

Worked in developing analytics solutions in 3-4 domains

Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams

Competencies

• Change Assessment & Management
• Impactful Communication
• Information Management Systems
• Problem Resolution
• Project Management
• Technological Orientation
  
  

(A1) Alliance Builder

(A1) Business Acumen

(A1) Go Getter

Job Description

ReNew Power is World’s first renewable energy company to be recognized as a Lighthouse by World Economic Forum. The company has been recognized for adoption of 4 IR technologies to achieve growth that is not only profitable, but also sustainable. ReNew Digital (“ReD.) has been instrumental in this. ReD. consistently work towards development of new advance analytic, AI and machine learning models that could lead to tangible business value to the organization.

As a Senior Data Scientist, you will be responsible for providing simple and intuitive solutions to the most complex problems in renewable industry. This will involve building machine learning, deep learning and generative ai models which are coupled with contextual business knowledge. You will also use both management experience and data science expertise to lead analytics projects and mentor junior data scientists. You will be an integral part of conceptualizing, scoping and delivering complex analytics projects. You will do and oversee the development, testing and maintenance of analytical models which mimic business decisions. You will work with a world-class team of site managers, subject experts, data engineers and data scientists to build the next generation data-driven renewable company. Additionally, you will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics center of excellence.

Roles-

Build and deploy production-grade ML pipelines for varied use cases across operations, manufacturing, supply chain, and moreManage analytics strategy across multiple use cases

Work hands-on in designing, training, and fine-tuning models across traditional ML, deep learning, and preferably GenAI (LLMs, diffusion models, etc.)Collaborate with data scientists to transform exploratory notebooks into scalable, maintainable, and monitored deployments

Implement CI/CD pipelines, version control, and experiment tracking using tools like MLflow, DVC, or similar

Do shadow deployment and A/B testing of production models

Partner with data engineers to build data pipelines that support real-time or batch model inference

Ensure high availability, performance, and observability of deployed ML solutions using MLOps best practices

Conduct code reviews, performance tuning, and contribute to ML infrastructure improvements

Support the end-to-end lifecycle of ML products

Oversee and mentor large team of associate and junior-level data scientists, de-bottlenecking issues related to project execution

Contribute to knowledge sharing, reusable component development, and internal upskilling initiatives

Required-

Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferred

Proven experience of 3-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects

Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI

Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorchHands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS)

Proficiency in Python is a must.

Proficiency in SQL/ spark for data manipulation is a plus

Worked in developing analytics solutions in 3-4 domains

Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams

Experience in implementing and productionizing Generative AI applications using LLMs is a plus(e.g., OpenAI, HuggingFace, LangChain, RAG architectures)

Profile & Eligible Criteria

Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferredProven experience of 4-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects

Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI

Experience in implementing and productionizing Generative AI applications using LLMs (e.g., OpenAI, HuggingFace, LangChain, RAG architectures)

Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch

Hands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS)

Proficiency in Python is a must. Proficiency in SQL/ spark for data manipulation is a plus

Worked in developing analytics solutions in 3-4 domains

Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams