Senior Data Scientist

Job Title - Senior Data Scientist 
Location - Bengaluru

This role is about using data, statistics, and machine learning to solve real business problems in the oil and gas industry. As a Senior Data Scientist, you will work with large and complex data to help the business make better decisions, improve operations, and drive innovation.
What you will do

• Use statistics and scientific methods to build reliable and understandable models.
• Develop, deploy, and maintain machine learning models that run in real production environments.
• Work on problems like time‑series forecasting, anomaly detection, optimisation, and neural networks.
• Build apps, dashboards, or APIs so business and engineering teams can easily use your models.
• Use AWS cloud services to deploy and scale ML solutions.
• Monitor deployed models to ensure they stay accurate and perform well over time.
• Work with data from operations, engineering systems, IoT devices, and cloud platforms while following security and governance standards.
• Clearly explain insights, results, and limitations to both technical teams and senior business leaders.
• Create clear documentation so models and processes can be reused and maintained.
• Improve data science best practices and processes.
• Mentor junior data scientists and support their technical growth.

What skills and experience are needed

• At least 5 years of hands-on experience as a data scientist.
• Strong experience in end‑to‑end data science projects (from data to production).
• Expertise in time‑series modelling, forecasting, clustering, and predictive modeling.
• Good understanding of machine learning and AI (deep learning, neural networks, CV/OCR is a plus).
• Strong Python skills and experience with ML libraries and at least one deep learning framework.
• Experience building apps or APIs for ML solutions.
• Strong exposure to AWS cloud services.
• Experience in the oil & gas or resources industry is preferred.
• Ability to manage projects, prioritize work, and influence business decisions using data.
• Strong communication and documentation skills.
• A quantitative education background (Engineering, Data Science, Statistics, etc.).

With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.