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Delhi · Hybrid · 3-6 Yrs · Sep 24
Energy & Utilities · 5001 to 10000 Employees · London, United Kingdom
Shell is a global group of energy and petrochemical companies, employing 96,000 people across more than 70 countries. Why choose Shell? You can be a part of the future of energy. Together at Shell, we are transitioning to become a net-zero emissions business while providing the energy that people around the world need today. Working with experienced colleagues , you’ll have the opportunity to develop your skills, in an environment where we value honesty, integrity and respect for one another. At Shell you progress as we tackle the energy challenge together. #PowerYourProgress
Hiring: Engineering
What employees say
+ Work life balance, decent bonus and salary hikes,
− Career growth depends upon how close you are to you leaders and not actual skills.
More reviews on the company profile.
Interview experience · Risk Analyst
Formal interview with a panel of 2 members, seemed very experienced and polite. One asked me questions from risk side and thr other guy was more interested in the kind of work I have done in my internships and projects I
Average difficulty · Bengaluru · 425 reports
More interview insightsJob description
Overview
What role you will play in team: Contribute to Shell's energy forecasting capabilities by developing and implementing cutting-edge machine learning models.
Responsibilities
- What role you will play in team: Contribute to Shell's energy forecasting capabilities by developing and implementing cutting-edge machine learning models. What you will do: You will work with large datasets of energy consumption and production data to build and deploy machine learning models, ensuring accuracy and reliability.Key responsibility:Develop and implement machine learning models for energy forecasting.
- Analyze large datasets of energy consumption and production data.Evaluate model performance and make necessary adjustments.
- Collaborate with engineers and stakeholders to deploy models into production.Communicate findings and insights to stakeholders.
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Job application FAQ
Last updated 24 September 2026
- How do I apply for Machine Learning Specialist - Energy Forecasting at Shell?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Shell may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Specialist - Energy Forecasting role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Specialist - Energy Forecasting remote or on-site in New Delhi, Delhi?
- This listing is marked hybrid with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Specialist - Energy Forecasting role at Shell?
- This is a mid-level Machine Learning Specialist - Energy Forecasting role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.