Job Description

About us

We are a global technology company, driving energy innovation for a balanced planet.​

Together, we create amazing technology that unlocks access to energy for the benefit of all.​

Our inclusive culture is the key to our success. We collaborate with our internal community of colleagues, alumni, and our valued external partners to support each other and achieve our goals. We aim to raise the bar high. We look for people who are committed to innovation and success and act with integrity to become and be a part of one of the most diverse group of experts in our industry, anywhere around the globe.

Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.

Job Title: Data Scientist

Location: PuTC, Pune

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, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.

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