Jobs

Milliman Recruitment 2026 – Trainee Data Solutions Engineer Opportunity in Gurugram

Milliman Recruitment 2026 – Trainee Data Solutions Engineer Opportunity in Gurugram

Milliman Recruitment 2026 presents an excellent opportunity for fresh graduates to begin their careers as a Trainee Data Solutions Engineer in Gurugram. This role is ideal for candidates with a strong foundation in data analytics, programming, and problem-solving. Selected candidates will gain hands-on experience in building data-driven solutions, working with modern technologies, and collaborating with global teams in a professional consulting environment.

Milliman

Company Name Milliman
Role Trainee Data Solutions Engineer
Qualification BE / B.Tech / BCA / MCA
Eligible Batch 2023 / 2024 / 2025 / 2026
Salary ₹6 LPA – ₹10 LPA (Average Market Salary)

Requirements

Candidates applying for Milliman Recruitment 2026 should have strong analytical skills and a basic understanding of data engineering and programming concepts.

  • Knowledge of SQL and Python (including PySpark).
  • Understanding of Object-Oriented Programming (OOP) concepts.
  • Basic knowledge of data engineering concepts and workflows.
  • Familiarity with tools like Databricks, Azure, or similar platforms.
  • Strong analytical and problem-solving abilities.
  • Good communication and teamwork skills.
  • Exposure to AI/ML concepts is an added advantage.

Responsibilities

The Trainee Data Solutions Engineer will work on developing scalable data solutions while learning advanced technologies and contributing to real-world projects.

  • Develop and implement data engineering solutions using modern tools.
  • Work with large datasets to build data pipelines and workflows.
  • Collaborate with teams to design and optimize data processes.
  • Participate in training sessions and skill development programs.
  • Assist in integrating AI/ML solutions into data workflows.
  • Ensure data accuracy, performance, and scalability.

Selection Process

The Milliman hiring process typically includes several stages to evaluate candidates’ technical skills and analytical abilities.

  • Online Application: Apply through the official careers portal.
  • Resume Screening: Shortlisting based on academic performance and skills.
  • Online Assessment: Aptitude, logical reasoning, and technical questions.
  • Technical Interview: Focus on programming, data concepts, and problem-solving.
  • HR Interview: Evaluation of communication skills and cultural fit.
  • Final Offer: Selected candidates receive the official offer letter.

About Company

Milliman is one of the world’s largest providers of actuarial and consulting services, offering solutions in risk management, healthcare, and financial services. Founded in 1947, the company operates globally with offices in major cities across the world.

Milliman focuses on delivering data-driven insights and innovative solutions to help organizations make informed decisions. With a strong emphasis on collaboration and technical excellence, it provides an excellent platform for freshers to grow in the data and analytics domain.

FAQs

What is the eligibility criteria for Milliman Recruitment 2026?
Candidates need a Bachelor’s degree in Engineering, Computer Science, or related fields with strong analytical skills.

Does Milliman hire freshers in India?
Yes, Milliman hires fresh graduates for entry-level roles in data engineering and analytics.

What is the difficulty level of the Milliman online test?
The test is generally moderate and focuses on aptitude, logical reasoning, and technical fundamentals.

What skills are required to crack Milliman interviews?
Strong programming skills, data analysis knowledge, problem-solving ability, and communication skills are important.

What is the expected salary for freshers at Milliman?
The average salary ranges between ₹6 LPA – ₹10 LPA depending on skills and performance.

 

Apply Link-Milliman

 

We wish you the best of luck in your Milliman Recruitment 2026. May your talents shine and help you build a successful career in data engineering and analytics.

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