Data Scientist

SLB; Maharashtra; On-site; INR 900,000 - 1,500,000; Full time

Job summary

SLB is seeking Data Scientists to join the PuTC Data Science team in Pune to tackle open-ended oil and gas data problems using advanced AI, ML and DL techniques.

You will work with large datasets, collaborate with cross-functional teams, and deliver prototypes and presentations while managing multiple projects simultaneously.

Qualifications

• MS/MTech/PhD in computer science, mathematics, physics, engineering or related fields with 3–5 years of experience in algorithm development with AI.
• Strong knowledge of Generative AI, DL/ML with application to NLP and CV.
• Experience with retrieval augmented generation (RAG) and agentic frameworks preferred.
• Solid foundation in linear algebra, statistics, probability.
• Proficient in Python programming.
• Hands-on with TensorFlow, Keras, PyTorch; publications or patents are a plus.

Responsibilities

• Assimilate next-generation technologies for data-driven solutions in oil and gas domain.
• Generate innovative ideas and shape research directions; run research projects.
• Develop data-driven algorithms and prototypes for classification, regression, anomaly detection and optimization.
• Collaborate with business and engineering teams to deploy robust scalable software solutions.
• Contribute to technical discussions and review projects as a subject expert.
• Communicate ideas, plans and results to stakeholders effectively.
• Participate in technical forums and conferences.

Skills

Python programming

Generative AI

Deep learning

NLP / text analytics

Statistics

Linear algebra

Education

MS/MTech/PhD in CS/Math/Engineering

Tools

TensorFlow

Keras

PyTorch

Job description

Job Title

Data Scientist

Location

PuTC, Pune

Job Summary

We are looking for data scientists to join the PuTC Data Science team. The Data Scientists will be responsible for designing and executing undirected research and tackling open-ended data problems related to oil and gas domain using advanced techniques in AI (Artificial Intelligence), ML (Machine learning), DL (deep learning) etc. The data scientists will be working with very complex and large data sets. The individual will be responsible for collaborating with various cross functional teams and providing periodic updates through presentations and prototype demonstrations. The role will require working on multiple projects simultaneously.

Responsibilities

• Assimilate next-generation technologies for data-driven solutions in oil and gas domain


• Generate innovative ideas, establish new research directions, and shape and execute on research projects


• Apply engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization


• Collaborate with business and engineering teams to implement robust and scalable industrial software solutions


• Contribute to technical discussions and undertake reviews of different projects as an expert


• Communicate ideas, plans, and results effectively to different stake holders


• Participate in technical forums and other appropriate events and conferences

Qualifications And Requirements

• M.S/MTech/PhD in computer science, mathematics, physics, applied sciences, engineering or similar disciplines with demonstrated capability in field of algorithm development using General AI, Generative AI with 3-5 years of experience,


• Deep understanding of Generative AI, deep learning algorithms and their applications to text analytics/NLP, computer vision etc


• Strong background in retrieval augmented generation (RAG), agentic frameworks, etc. would be preferred.


• Strong background in linear algebra, statistics, and probability


• Strong background in Python programming


• Hand-on experience in developing deep learning models using TensorFlow, Keras, Pytorch, etc. will be a plus


• Experience in patents or publications at top-tier peer-reviewed conferences or journals

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.