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Job 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.
Skills
PythonSQLMachine LearningData AnalysisData ScienceStatisticsExcelRecruitmentCommunicationIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Wolters Kluwer is a global provider of professional information, software solutions, and services for healthcare, tax and accounting, governance, risk and compliance, and legal and regulatory sectors. The company helps its customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.
Careers at Wolters Kluwer offer a chance to be part of a company committed to impacting the professional lives of many in significant ways. The organization nurtures an environment of innovation, excellence, and customer-centricity. Employees at Wolters Kluwer are encouraged to think critically, innovate, and collaborate to drive effective outcomes in their fields of expertise. Working at Wolters Kluwer means joining a diverse and inclusive team dedicated to advancing professional growth and providing impactful solutions across industries worldwide. The company values continuous learning and offers opportunities for personal development and career advancement in a supportive and dynamic setting.
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