Position: Data Scientist / Data Analyst (as per the JD roles and responsibilities)
Company: Wolters Kluwer
Location: Pune, India (IND-Pune-Smartworks)
Job type: Full-time
Job mode: Hybrid (8 days/month)
Job requisition id: R0061345
Years of experience: 0-3 years (Entry Level / Fresher)
Company description
Wolters Kluwer stands as a prominent global provider of professional information, specialized software solutions, and advanced technological services tailored for critical sectors including healthcare, tax and accounting, governance, risk, compliance, and legal and regulatory industries.
Operating with a distinguished heritage spanning nearly 190 years, the organization continuously transforms its digital portfolio to address the rapidly evolving demands of modern professionals worldwide.
In 2025, the enterprise reported annual revenues of €6.1 billion, reflecting robust financial stability, sustained market leadership, and continuous investment in next-generation artificial intelligence and cloud technologies.
The company serves a vast international client base across more than 180 countries, maintains active operational hubs in over 40 nations, and employs a dedicated workforce exceeding 21,000 professionals globally.
Its core mission revolves around empowering professional customers with trusted, AI-powered expert solutions that facilitate critical decision-making, optimize operational workflows, and yield measurable productivity gains in high-stakes environments.
Nearly 70 percent of the company's digital revenues are currently generated through AI-powered offerings, underscoring a deep strategic commitment to embedding machine learning and intelligent automation directly into enterprise platforms.
By seamlessly combining deep domain expertise, proprietary content repositories, and cutting-edge technological frameworks, Wolters Kluwer delivers expert-validated insights that advance global sustainability, health, justice, prosperity, and commerce.
The organization fosters an inclusive, collaborative workplace culture where diversity is championed as a primary driver of innovation and high performance, supported by global initiatives such as the Together we thrive well-being program.
Recognized externally for workplace excellence, the company earned distinctions from Forbes as one of America's Best Large Employers and Best Employers for Engineers in 2026, alongside recognition for employee well-being and support for women in the workplace.
Profile overview
The Data Scientist / Data Analyst role is specifically designed as a foundational entry-level opportunity for aspiring data professionals eager to launch their careers within a globally recognized technology leader.
Successful candidates will embark on a structured, growth-oriented professional journey focused on supporting multidisciplinary analytics and data science teams with essential day-to-day data operations while gaining hands-on exposure to advanced analytical methodologies.
Core responsibilities begin with the systematic collection, extraction, and standardization of raw datasets sourced from diverse internal and external repositories to establish reliable analytical pipelines.
The incumbent will actively assist in data cleaning, wrangling, and preprocessing tasks, applying rigorous quality checks to resolve missing values, eliminate anomalies, and ensure high levels of dataset accuracy and consistency.
Working closely alongside senior data scientists and experienced analysts, the role involves conducting preliminary exploratory data analysis to uncover initial patterns, trends, and correlations that inform strategic business decisions.
Selected professionals will participate directly in the development, training, and evaluation of predictive machine learning models under the structured mentorship and technical guidance of senior team members.
Ongoing operational duties include assisting with the routine maintenance, organization, and optimization of relational databases and centralized data repositories to guarantee seamless data accessibility across teams.
Communication of analytical outcomes is a key component, requiring the preparation of clear, intuitive visual dashboards, charts, and concise summary reports to present preliminary findings to internal stakeholders.
The role demands active cross-functional collaboration with technical peers and business colleagues to accurately gather project requirements, clarify analytical objectives, and align data deliverables with broader organizational goals.
Maintaining thorough, transparent documentation of all methodologies, data transformation steps, and analytical workflows is essential to ensure reproducibility, governance, and institutional knowledge sharing.
Professionals in this position will also contribute to enterprise-wide data integrity, quality assurance, and validation initiatives, ensuring that all data assets adhere to strict compliance and accuracy standards.
Furthermore, the ideal team member will demonstrate continuous curiosity by staying abreast of emerging trends, open-source libraries, and modern tools within the rapidly evolving data science and artificial intelligence landscape.
Qualifications
Candidates should possess a strong foundational interest in data analytics, data science, and quantitative problem-solving, ideally backed by relevant academic coursework, practical projects, or internships in computer science, statistics, engineering, mathematics, or related fields.
Demonstrated proficiency in data collection methodologies is required, including the capability to systematically gather, import, and consolidate structured and unstructured information from multiple heterogeneous sources.
Solid understanding of fundamental data cleaning and preprocessing techniques is essential, enabling the candidate to effectively handle formatting inconsistencies, outliers, and incomplete records prior to modeling.
Practical familiarity with the Python programming language is expected, specifically utilizing core data manipulation and analysis libraries to automate workflows, transform datasets, and execute exploratory scripts.
Foundational knowledge of SQL is necessary for writing clear, efficient queries to extract, filter, join, and aggregate records from relational database management systems.
Strong proficiency in Microsoft Excel is required to perform rapid exploratory calculations, build pivot tables, execute basic statistical summaries, and generate clean visual charts for immediate business reporting.
A solid grasp of basic statistical concepts—such as probability distributions, measures of central tendency, variance, correlation, and hypothesis testing—is vital for interpreting data patterns accurately and supporting predictive modeling efforts.
Effective written and verbal communication skills are crucial for translating technical metrics and preliminary analytical findings into clear, straightforward reports that non-technical stakeholders can easily comprehend.
Proven ability to thrive in a collaborative, team-oriented environment is required, showing openness to constructive feedback, willingness to learn from senior mentors, and proactive engagement in group problem-solving sessions.
High attention to detail and a methodical mindset are critical for maintaining accurate process documentation and executing routine data validation checks without oversight errors.
Candidates must exhibit genuine intellectual curiosity and self-motivation to continuously upskill in modern data engineering, machine learning algorithms, and visualization best practices.
Strong organizational and time-management capabilities are needed to balance multiple entry-level data support tasks simultaneously while meeting project timelines in a fast-paced corporate setting.
Additional info
This full-time position is based out of the Wolters Kluwer office at Smartworks in Pune, India, operating under a flexible hybrid work arrangement that requires employees to work onsite approximately 8 days per month.
To uphold a completely fair, transparent, and authentic evaluation standard, Wolters Kluwer strictly prohibits candidates from utilizing artificial intelligence tools, automated text generators, or external third-party prompts during any stage of the interview process.
The recruitment methodology is specifically structured to evaluate each applicant's genuine technical competence, independent problem-solving approach, personal communication style, and authentic professional background rather than AI-assisted responses.
During virtual screening rounds, candidates are explicitly requested to disable or remove virtual backgrounds to maintain visual transparency and interview integrity.
Candidates should be prepared to participate in in-person interview assessments and may be required to visit a designated Wolters Kluwer office location onsite as part of the formal selection process.
Any detected usage of AI-generated answers, real-time external coaching, or unauthorized assistance during interviews will result in immediate disqualification from the recruitment pipeline.
Wolters Kluwer operates as a committed Equal Opportunity Employer, ensuring that all qualified applicants receive fair consideration regardless of race, color, religion, sex, pregnancy, gender identity, transgender status, sexual orientation, national origin, disability, age, genetic information, or veteran status.
The organization fosters a welcoming, psychologically safe workplace culture rooted in mutual respect, where employees from diverse cultural, educational, and socioeconomic backgrounds are encouraged to share unique perspectives and creative solutions.
Comprehensive employee support is delivered through the global Together we thrive well-being program, which provides structured resources and benefits spanning physical health, mental wellness, social connection, and financial security.
Selected candidates will join an established talent ecosystem supported by dedicated recruitment professionals and engineering mentors who prioritize long-term career progression, skill acquisition, and internal mobility.
All applicant personal information submitted during the hiring workflow is processed in strict accordance with international data protection standards, including GDPR and Wolters Kluwer's corporate privacy policies.
By joining this team, entry-level professionals gain the unique opportunity to contribute to high-impact, AI-driven enterprise products that directly support millions of professionals across healthcare, legal, financial, and regulatory domains worldwide.
Please click here to apply.
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