Job Description
Wolters Kluwer Off-Campus Hiring 2026 | Data Scientist – AI Ops
Wolters Kluwer is hiring for the Data Scientist – AI Ops position in Pune, Maharashtra. This opportunity is suitable for fresh graduates who want to begin their careers in data science, data analytics, and machine learning.
The selected candidate will support entry-level data science activities, including data collection, cleaning, preprocessing, analysis, and basic machine learning tasks. You will also gain exposure to predictive modelling and work alongside experienced team members to support data-driven business decisions.
Job Details
Company: Wolters Kluwer
Job Role: Data Scientist – AI Ops
Job ID: R0061345
Experience: Freshers
Qualification: B.E. / B.Tech / M.E. / M.Tech
Location: Pune, Maharashtra, India
Work Mode: Hybrid (8 days per month)
Employment Type: Full-time
Expected CTC: ₹10–15 LPA
Role Overview
As a Data Scientist – AI Ops, you will assist in collecting, standardizing, cleaning, and analysing datasets from multiple sources. You will support senior team members in preliminary data analysis and participate in machine learning model training under guidance.
This role offers an opportunity to build a strong foundation in data science while contributing to data integrity, reporting, and business performance optimization.
🎯 What Success Looks Like in This Role
Collect and standardize data from multiple sources.
Clean and preprocess datasets to maintain accuracy and consistency.
Perform preliminary data analysis and support senior team members.
Participate in training machine learning models with guidance.
Maintain databases and data repositories.
Create basic visualizations and reports to communicate findings.
Collaborate with colleagues to understand data requirements.
Document data collection and analysis processes.
Support data validation and data integrity initiatives.
Stay updated with emerging data science tools and trends.
Required Skills
Python: Basic knowledge of Python for data manipulation.
SQL: Understanding of SQL queries and database operations.
Excel: Data analysis and basic visualization.
Statistics: Understanding of fundamental statistical concepts.
Data Collection: Ability to gather data from multiple sources.
Data Cleaning: Basic dataset preprocessing techniques.
Communication: Ability to explain findings through simple reports.
Teamwork: Collaboration and coordination skills.
Salary
Expected CTC: ₹10–15 LPA
