Working @ Renew
Working here means you'll be part of something genuinely special .
Funded by marquee investors and guided by a unique set of values, ReNew is the leading renewable energy IPP in India in terms of total energy generation capacity.
We take pride in providing opportunities to our employees to create, explore, express, take risks and grow. As a ReNewer, you'll always be doing things that would be beneficial to millions.
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.
Roles and Responsibilities
Build and deploy productiongrade ML pipelines for varied use cases across operations, manufacturing, supply chain, and more Manage analytics strategy across multiple use cases Work hands‑on in designing, training, and fine‑tuning models across traditional ML, deep learning, and 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 realtime 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 initiativesQualifications
Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferred Proven 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 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 teamsReNew Values
PIONEER
Take bold calls and innovate; Deliver sustainable future value; Encourage creative and Inspirational ideas; Respond to change with agility.
RESPONSIBLE
Care for the planet; Deliver high-quality solutions to customers; Meet our commitments and uphold stakeholders' trust; Maintain the highest standards of ethics and integrity.
EXCELLENCE
Build and execute best in class & within time; Take charge and dive deep; Driven by results and impact; Experiment and embrace continuous improvement.
PARTNER
Collaborate across businesses, geographies and levels; Connected by trust and mutual respect; Engage as a well-networked community; Drive the clean energy transition together.
At ReNew, we believe that each individual is unique, and we respect and value these differences. We hire people from all regions, geographies, languages, backgrounds, cultures, gender and age groups fostering a truly inclusive environment at work.
We are committed to accelerating progress, generating equitable outcomes, and ensuring our culture is supportive for everyone. We demonstrate equality and integrity in our growth as a responsible company for all.
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