We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Job Duties
Under general supervision, a Data Scientist will perform data engineering, data modeling or model deployment.
A Data Scientist will collaborate to obtain data from sources, complete data clean up and build a data dictionary under guidance.
This role is able to build models under guidance and understand how to deploy the model and assist in the deployment process.
An undergraduate degree in STEM and 1+ years of related experience is required, master's degree in STEM preferred.
We are seeking talented and driven professionals—innovators, problem solvers, and future leaders—who are passionate about shaping the future through advanced AI technologies. Our strong commitment to investing in our people enables continuous skill development and career growth while addressing some of the most complex and impactful challenges in the global energy industry
Role Overview
Under general supervision, the Data Scientist will contribute to the design, development, and deployment of advanced data science and AI solutions, with a strong emphasis on Generative AI (GenAI) and Large Language Models (LLMs).
Key Responsibilities
Perform data engineering, data modeling, and model deployment activities, with a primary focus on Generative AI and LLM‑based applications.
Collaborate with stakeholders to source, clean, and curate structured and unstructured data, including scanned documents, leveraging Optical Character Recognition (OCR) technologies.
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Design, develop, and deploy advanced GenAI solutions such as Retrieval‑Augmented Generation (RAG) pipelines to enable enhanced question‑answering and enterprise knowledge discovery.
Build and implement agentic AI systems using LLMs to automate complex workflows, support decision‑making, and extract insights from large datasets.
Develop, fine‑tune, and evaluate machine learning and AI models under guidance, with opportunities to take ownership of GenAI initiatives as experience and expertise grow.
Support the deployment and integration of AI solutions into production environments, ensuring scalability, reliability, and performance.
Work closely with cross‑functional teams to translate business requirements into effective, AI‑driven solutions.
Qualifications & Experience
A postgraduate degree in Data Science or related fields or a postgraduate degree in Engineering with demonstrated capability in Data Science is required. Ph.D. or Master’s degree with 3+ years of relevant experience preferred.
Demonstrated experience with Generative AI, LLMs (e.g., GPT, Llama, Claude), OCR, RAG, and agentic system design will be preferable.
Familiarity with Python, machine learning frameworks, and cloud-based AI services.
Strong communication and collaboration skills.
Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available, including Technical Professional- Data Science, Technical Professional- Data Science Senior and Technical Professional- Data Science Principal.
Work Details
Working Hours / Shift: Typically 9:00 AM – 6:00 PM IST; may require occasional evening meetings to align with Houston‑based stakeholders.
Work Location: Pune
Work Pattern: Hybrid (Work from Office / Work from Home, as per role requirements)
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location
Sai Radhe Building, Pune, Monaghan, 411001, India
Job Details
Requisition Number: 206569 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Production Enhancement Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information Compensation is competitive and commensurate with experience.
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