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Data Scientist ( 3+years only with Python/SQL/NLP/AIML)

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Wolters Kluwer

5d ago

  • Job
    Full-time
    Mid Level
  • Data
    Software Engineering
  • Pune
  • Quick Apply

AI generated summary

  • You need advanced data cleaning, intermediate Python and SQL skills, data visualization expertise, basic ML knowledge, and effective communication for problem-solving.
  • You will preprocess data, develop and test machine learning models, perform analysis, create visualizations, manage data repositories, support feature selection, automate tasks, and contribute to model validation.

Requirements

  • • 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.
  • • Requires working knowledge and expanded conceptual knowledge in primary technical job family and broadens capabilities; has worked with and is proficient with current technologies
  • • Understands key business drivers and builds knowledge of the company, processes and customers
  • • Performs a range of technical assignments and solves moderately complex problems under guidance of established policies and procedures
  • • Receives a moderate level of guidance and direction
  • • Impacts quality of own work and the work of others on the team; may provide informal guidance to new team members
  • • Explains complex information to others in straightforward situations

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.

FAQs

What are the primary responsibilities of a Data Scientist in this role?

The primary responsibilities include data collection and preprocessing, developing and testing machine learning models, performing descriptive data analysis, creating visualizations and reports, managing data repositories, supporting senior data scientists, participating in collaborative projects, automating data processing tasks, and contributing to model validation.

What technical skills are required for this position?

Required skills include advanced data cleaning techniques, intermediate proficiency in Python and SQL, data visualization capabilities (using tools like Tableau or Matplotlib), a basic understanding of machine learning concepts, intermediate statistical analysis skills, and effective communication skills.

How many years of experience is required for this position?

A minimum of 3 years of experience is required for this position.

What type of projects will I be working on as a Data Scientist?

You will work on data-driven projects, assisting with model development and testing, while also contributing to various stages of the data science lifecycle.

Is experience with NLP and AIML required for this role?

Yes, experience in Natural Language Processing (NLP) and Artificial Intelligence/Machine Learning (AIML) is preferred as part of the overall skill set.

Will I receive guidance and support in this role?

Yes, you will receive a moderate level of guidance and direction, and may also provide informal guidance to new team members.

How will my work impact the team?

Your work will impact the quality of your deliverables and the work of others on the team by contributing insights and supporting data-related projects.

What tools and methodologies should I stay informed about?

You should stay informed about emerging data science tools and methodologies that can enhance your skills and contribute to the team’s success.

How is communication important in this role?

Communication is crucial for articulating data insights clearly to non-technical stakeholders, helping bridge the gap between technical findings and business strategies.

Will I be collaborating with other teams?

Yes, you will participate in collaborative projects with cross-functional teams to leverage diverse expertise and insights.

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Wolters Kluwer

When you have to be right

Technology
Industry
10,001+
Employees

Mission & Purpose

Wolters Kluwer (EURONEXT: WKL) is a global leader in professional information, software solutions, and services for the healthcare, tax and accounting, financial and corporate compliance, legal and regulatory, and corporate performance and ESG sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Wolters Kluwer reported 2022 annual revenues of €5.5 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs approximately 20,000 people worldwide. The company is headquartered in Alphen aan den Rijn, the Netherlands.