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Wolters Kluwer is hiring for a fresher entry level Data Scientist role in India



Position:

  • Data Scientist (Python/NLP/SQL)

Company:

  • Wolters Kluwer

Location:

  • Pune, Kalyani Nagar, India

Job Type:

  • Full-time

Job Mode:

  • Hybrid (8 days/month on-site)

Job Requisition ID:

  • R0046003

Years of Experience:

  • Not explicitly mentioned; from the JD: 0-3 years


Company Description :

  • Wolters Kluwer is a global leader in professional information, software solutions, and services for various industries, including legal, regulatory, and compliance. With a legacy spanning 188 years, the company is committed to empowering professionals with the tools and knowledge they need to make critical decisions and achieve successful outcomes.

  • The Legal and Regulatory division of Wolters Kluwer enables professionals to enhance productivity, manage risk, and tackle complex challenges. Within this division, the ELM Solutions business unit focuses on innovative tools designed for corporate legal operations, driving efficiency and reducing costs. The solutions provided by ELM are trusted by corporate legal and insurance claims departments globally.

  • Operating in over 40 countries and serving customers in more than 180 nations, Wolters Kluwer reported annual revenues of €5.6 billion in 2023. Its workforce of approximately 21,400 employees collaborates to address the needs of millions of customers, delivering expert content and workflow automation solutions.

  • Committed to diversity and inclusion, Wolters Kluwer fosters a welcoming environment where employees can thrive. The company’s dedication to innovation and customer success is reflected in its global reach and robust portfolio of solutions.


Profile Overview:

  • As a Data Scientist at Wolters Kluwer, you will play a crucial role in leveraging data to drive innovation and optimize business outcomes. This position is ideal for individuals passionate about data science and eager to contribute to impactful projects. You will primarily focus on supporting entry-level data tasks while gaining hands-on exposure to advanced techniques and tools.

  • Your responsibilities include collecting, cleaning, and analyzing data to generate actionable insights. You will assist in building predictive models, maintaining databases, and collaborating with cross-functional teams to address diverse data requirements. The role also involves configuring and supporting AI models, ensuring their reliability and effectiveness.

  • You will be at the forefront of technological advancements, working with cutting-edge tools such as Python, SQL, and NLP frameworks. This position offers opportunities for continuous learning, allowing you to stay updated on the latest trends in data science and AI.

  • By contributing to innovative projects, you will help enhance Wolters Kluwer’s solutions, enabling professionals to make better decisions and achieve their goals. This role provides a dynamic environment for growth and development, making it an excellent opportunity for aspiring data scientists.


Qualifications :

Educational Background:

  • A bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.

  • Master’s degree is considered a plus.

Technical Skills:

  • Proficiency in Python programming, including data engineering and data science libraries.

  • Hands-on experience with Generative AI, LLM (Large Language Models), and advanced RAG (Retrieval-Augmented Generation) techniques.

  • Expertise in Natural Language Processing (NLP) solutions and Machine Learning models.

  • Solid knowledge of SQL and its ecosystem.

  • Familiarity with the Solr framework and Linux shell scripting.

  • Understanding of statistical modeling and computer science fundamentals, including data structures, algorithms, operating systems, and databases.

Additional Skills:

  • Strong problem-solving and organizational abilities.

  • Excellent communication skills with attention to detail.

  • Ability to collaborate with cross-functional teams, including domain experts, engineers, and production support teams.

  • Self-motivated, independent worker with a passion for innovation and the latest technology trends.

  • Proven ability to manage multiple projects in a distributed technical environment.

Experience:

  • Prior experience in supporting software products or applications in the AI/ML domain is highly desirable.


Additional Info :

Responsibilities:

  • Configure, maintain, and support a portfolio of AI models and related products.

  • Manage AI model releases, including training new models and iteratively re-training existing ones.

  • Collaborate with end users, domain experts, and analysts to perform model calibration, fix bugs, and implement enhancements.

  • Develop configurations for model pipelines during new client onboardings.

  • Coordinate with the production deployment team for successful AI model implementation.

  • Conduct preliminary data analysis to support senior team members.

  • Maintain databases and data repositories, ensuring their accuracy and reliability.

  • Document processes for data collection and analysis, contributing to organizational knowledge.

  • Stay informed about emerging trends and tools in data science and AI.

Workplace Culture:

  • Wolters Kluwer values diversity and inclusion, creating an equitable environment for all employees.

  • The company’s ‘Together We Thrive’ well-being program emphasizes health, safety, and professional growth.

  • Employees are encouraged to share ideas, innovate, and achieve their best work in a supportive culture.

Career Development:

  • Opportunities to work on impactful projects that drive global innovation.

  • Access to resources for continuous learning and professional development.

  • Collaborative environment that fosters creativity and growth.


By joining Wolters Kluwer as a Data Scientist, you’ll become part of a dynamic team dedicated to innovation, excellence, and making a difference in the lives of professionals worldwide.

Please click here to apply.

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