If you are a recent graduate looking to kickstart your career in data science, this is an excellent opportunity to explore. The Baker Hughes Off Campus Drive 2026 is now open for the role of Early Career Trainee: Data Scientist, offering freshers a chance to gain hands-on experience in a globally recognized energy technology company.
This opportunity is specially designed for candidates who are passionate about analytics, artificial intelligence, and solving real-world problems using data. With structured training, mentorship, and exposure to industry-level projects, this traineeship is ideal for those who want to build a strong foundation in data science and analytics.
Whether you are from a data science, AI/ML, or computer science background, this role provides a pathway to learn, grow, and contribute to impactful projects in the evolving energy sector.
About the Company
Baker Hughes is a leading global energy technology company that provides innovative solutions to energy and industrial customers across more than 120 countries. With over a century of experience, the company has consistently been at the forefront of technological advancements in the energy sector.
The organization focuses on making energy safer, cleaner, and more efficient by combining engineering expertise, digital innovation, and scientific research. Baker Hughes is known for its collaborative work culture, diverse workforce, and commitment to sustainability and innovation.
Joining Baker Hughes means becoming part of a company that values curiosity, encourages learning, and supports career growth through real-world exposure and challenging opportunities.
Job Role Overview
The role of Early Career Trainee: Data Scientist is part of the company’s Early Career Traineeship program. This program is specifically designed for fresh graduates to develop both technical and professional skills.
As a trainee, you will work with the Cordant analytics team and contribute to solving practical business challenges using data science techniques. You will gain hands-on experience in analytics, physics-based modeling, and digital tools while working alongside experienced professionals.
This traineeship lasts between 6 to 11 months, during which you will receive structured training, mentorship, and real-time project exposure.
Job Details
| Field | Details |
|---|---|
| Company Name | Baker Hughes |
| Job Role | Early Career Trainee: Data Scientist |
| Qualification | Bachelor’s or Master’s Degree |
| Batch | Graduated within the past 24 months |
| Experience | Freshers |
| Salary | Best in Industry |
| Job Location | Mumbai, Maharashtra, India |
| Application Deadline | Apply As Soon As Possible |
Additional Details:
- Employment Type: Traineeship (Early Career Program)
- Duration: 6 – 11 months
- Department: Data Science & Analytics (Cordant Analytics Team)
- Work Flexibility: Flexible working patterns available
Eligibility Criteria
To apply for the Baker Hughes Off Campus Drive 2026, candidates must meet the following criteria:
- Must hold a Bachelor’s or Master’s degree in:
- Data Science
- Artificial Intelligence / Machine Learning
- Computer Science
- Or a related field from an accredited university
- Must have graduated within the last 24 months
- Must have a minimum GPA of 3.0 on a 4.0 scale
- Should be fluent in English with strong communication skills
- Must be legally authorized to work in India without sponsorship or restrictions
- Should demonstrate:
- Curiosity and eagerness to learn
- Strong problem-solving mindset
Key Responsibilities
As a Data Scientist Trainee at Baker Hughes, you will be responsible for:
- Understanding problem statements and identifying suitable analytics solutions
- Performing exploratory data analysis on large datasets
- Researching, prototyping, implementing, and validating data-driven solutions
- Collaborating with interdisciplinary teams to integrate analytics into workflows
- Working closely with engineering teams for practical implementation
- Completing assigned tasks efficiently and within deadlines
- Learning domain knowledge through mentorship and hands-on experience
- Following Health, Safety, and Environment (HS&E) standards at all times
Skills Required
Candidates applying for this role should possess a mix of technical and soft skills:
Technical Skills
- Knowledge of AI/ML concepts and statistical methods
- Experience or familiarity with:
- Large Language Models (LLM)
- Generative AI analytics
- Strong programming skills in Python and relevant libraries
- Understanding of Object-Oriented Programming (OOP) concepts
- Ability to work with large datasets and perform data analysis
Soft Skills
- Strong communication skills in English
- Analytical and problem-solving abilities
- Willingness to learn and adapt quickly
- Ability to work independently as well as in a team
- Time management and task execution skills
Selection Process
While the exact hiring stages are not explicitly detailed, the selection process typically involves:
- Application screening based on eligibility criteria
- Evaluation of academic performance and technical skills
- Interview rounds (technical and/or behavioral)
- Final selection for the traineeship program
Salary and Benefits
- Salary: Best in Industry
- Structured traineeship program with real-world exposure
- Mentorship from experienced professionals
- Opportunity to work on advanced technologies like AI/ML and analytics
- Flexible working patterns to support work-life balance
- Skill development in both technical and soft areas
Why You Should Apply
This opportunity stands out for several reasons:
- Work with a globally recognized energy technology company
- Gain hands-on experience in real-world data science applications
- Learn directly from industry experts and mentors
- Build strong technical and analytical skills
- Exposure to cutting-edge technologies like AI, ML, and digital analytics
- Opportunity to work in a collaborative and innovative environment
For freshers, this traineeship can act as a strong foundation for a long-term career in data science and analytics.
Job Preparation Tip
Focus on strengthening your fundamentals in Python, statistics, and machine learning concepts. Practice solving real-world data problems and build small projects to showcase your analytical thinking and coding skills during the selection process.
How to Apply for the Job
| Step | Action |
|---|---|
| Step 1 | Visit the official company careers page |
| Step 2 | Search for the job role |
| Step 3 | Register or login |
| Step 4 | Fill the application form |
| Step 5 | Upload resume |
| Step 6 | Submit the application |
Apply for this Job
| Role | Apply Link |
|---|---|
| Early Career Trainee: Data Scientist | Apply for this Job |
Important Notes for Candidates
- Ensure your resume highlights relevant projects in data science or AI/ML
- Maintain your academic records, especially GPA, as it is a key requirement
- Prepare for technical questions related to Python and analytics
- Apply as early as possible to avoid missing the opportunity
- Make sure you meet the eligibility criteria before applying
Frequently Asked Questions (FAQ)
Q1: Who can apply for this role?
Candidates with a Bachelor’s or Master’s degree in Data Science, AI/ML, Computer Science, or related fields who graduated within the last 24 months can apply.
Q2: Is this job open for freshers?
Yes, this is a traineeship program specifically designed for fresh graduates.
Q3: What is the job location?
The job location is Mumbai, Maharashtra, India.
Q4: What is the duration of the traineeship?
The traineeship duration is between 6 to 11 months.
Q5: What skills are required for this role?
Candidates should have knowledge of Python, AI/ML, statistical methods, and strong analytical and communication skills.
The Baker Hughes Off Campus Drive 2026 is a great opportunity for fresh graduates to enter the world of data science and analytics. With structured training, mentorship, and exposure to real-world challenges, this role can significantly boost your career. Apply as soon as possible and stay updated with the latest jobs to make the most of such opportunities.
