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Wolters Kluwer

Data Scientist - AI Ops

Wolters Kluwer is hiring a Data Scientist - AI Ops in Pune, India. Level rates it ; you can apply on Wolters Kluwer.

Level's read on this job

  • On Level's scale, this data scientist role is Little AI ●○○○: aI is not part of the work.
  • Wolters Kluwer has 469 other open roles on Level.
  • Posted in the last few days.

AI in this role

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.

How we rate this

Data Scientist - AI Ops at Wolters Kluwer rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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$167k

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