Baker Hughes Early Career Trainee: Data Scientist Full Time

Baker Hughes Early Career Trainee: Data Scientist . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in  India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free 

About Company :

Job Description :

The Early Career Traineeship is designed for fresh graduates where Baker Hughes will train fresh talent who meet the required criteria to perform their traineeship in a specific business. The traineeship duration is 6 – 11 months and will develop your technical knowledge and soft skills and provide on the job learning and exposure.

As part of our Early Career Traineeship, we are looking for a Data Science and Analytics Trainee to join the Cordant analytics team. The ideal candidate should have a strong foundation in engineering and be prepared to apply analytics, physics-based modelling, and digital tools to practical challenges.

Qualifications

• Bachelor’s or master’s degree in Data Science, AI/ML, computer science, or a related field from an accredited university
• Graduated within the past 24 months
• Minimum cumulative GPA of 3.0 (on a 4.0 scale)
• Fluent in English, with strong communication skills
• Demonstrates curiosity and eagerness to learn
• Be legally entitled to work within the country in which you are applying, without sponsorship or time restrictions.

Responsibilities

• Understand problem statements to identify analytics solutions. Perform exploratory analysis on large datasets. Research, prototype, implement, and validate solutions.
• Receive mentorship from experienced professionals. Show willingness to learn domain knowledge.
• Complete assigned tasks efficiently.
• Collaborate with interdisciplinary teams, work with engineering to integrate analytics into workflows.
• Adhere to Health, Safety, and Environment (HS&E) standards.

Preferred Skills

• Experience with AI/ML, statistical methods, LLM, Gen AI analytics, Python, and relevant libraries
• Able to work independently and deliver results
• Familiarity with OOP concepts for analytics development