Wolters Kluwer

Data Scientist I

Wolters Kluwer pune, Maharashtra, India

Software Development · 10,001+ employees

13 h ago Closes today
data-scientist Junior (0-2 yrs) Full-time India
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About the role

The role involves collecting, cleaning, and standardizing data from various sources to support predictive modeling and business optimization. You will also assist in maintaining databases, preparing visualizations, and documenting analytical processes.

What they look for

Data Collection Data Cleaning Python SQL Excel Basic Statistics Communication Team Collaboration

Requirements

Candidates should have foundational skills in data collection, cleaning, and basic statistical analysis. Proficiency in Python, SQL, and Excel is required to support the team with entry-level data tasks.

Full description

About the Role: As a Data Scientist, you’ll embark on an exciting career journey, mainly focusing on supporting the team with entry-level data tasks while gaining exposure to a variety of data science techniques. You will help collect, clean, and analyze data to provide preliminary insights that will contribute to predictive models and assist in optimizing business performance. This role is perfect for those eager to build a foundation in data science and are enthusiastic about leveraging data to drive innovation.

Responsibilities:

  • Collect and standardize data from various sources.
  • Assist in cleaning and preprocessing data to ensure accuracy and consistency.
  • Conduct preliminary data analysis to support more senior team members.
  • Participate in training machine learning models with guidance.
  • Help maintain databases and data repositories.
  • Prepare simple visualizations and reports to present basic findings.
  • Collaborate with colleagues to understand data requirements and goals.
  • Stay updated with the latest data science trends and tools.
  • Document processes followed during data collection and analysis.
  • Support data integrity and validation initiatives.

Skills:

  • Data Collection: Ability to gather data from multiple sources effectively.
  • Data Cleaning: Basic techniques for preprocessing and cleaning datasets.
  • Python: Familiarity with basic Python for data manipulation.
  • SQL: Basic understanding of SQL for querying data.
  • Excel: Proficient in using Excel for simple data analysis and visualization.
  • Basic Statistics: Understanding of basic statistical concepts.
  • Communication: Clear and simple reporting of findings.
  • Team Collaboration: Ability to work well in a team environment.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

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