- As a Data Scientist, you'll play a crucial role in supporting data-driven projects, performing routine data analysis tasks, and assisting with model development and testing.

- Your role involves contributing to various stages of the data science lifecycle and providing insights that help shape business strategies.

- This position is suited for those with a foundational understanding of data science and are eager to deepen their expertise.

Responsibilities :

- Contribute to more advanced data collection and preprocessing efforts.

- Assist in developing and testing machine learning models.

- Perform descriptive data analysis and provide preliminary insights.

- Create visualizations and reports to support data findings.

- Manage and maintain data repositories efficiently.

- Support senior data scientists in feature creation and selection.

- Participate in collaborative projects with cross-functional teams.

- Help automate data processing tasks using scripts.

- Contribute to model validation and performance testing.

- Stay informed about emerging data science tools and methodologies.

Skills :

- Advanced Data Cleaning : Enhanced preprocessing and data wrangling techniques.

- Intermediate Python : Proficiency in Python for data science tasks.

- SQL : More advanced SQL querying skills.

- Data Visualization : Ability to create meaningful visualizations using tools like Tableau or Matplotlib.

- Machine Learning Basics : Understanding of basic machine learning concepts and algorithms.

- Statistical Analysis : Intermediate statistical methods and their applications.

- Communication : Articulating data insights clearly to non-technical stakeholders.

- Problem-Solving : Effective in identifying data-related issues and providing solutions.

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