WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

We are looking for a highly skilled and innovative professional to join our Analytics team within the Automation Center of Excellence.

The ideal candidate will possess strong Python programming expertise and a passion for leveraging data to drive business outcomes. This role focuses on designing and implementing data-driven solutions, automating data engineering and preprocessing workflows, and working with large volumes of data to uncover actionable insights and improve operational efficiency.

Job Description

Roles and Responsibilities

• The ideal candidate should have strong communication skills to effectively engage with both technical and non-technical stakeholders.
• The candidate will be responsible for developing end-to-end task and workflow automation pipelines using Python across a wide range of data sources, including both on-premise and cloud environments.
• The candidate should have strong working experience in transforming Excel-based manual processes into fully automated Python-based processes while incorporating strong governance frameworks.
• The person should be competent in Python programming and possess high levels of analytical skills, including data pre-processing, data engineering, data pipeline development, and automation.
• The candidate should have in-depth knowledge of libraries such as pandas, numpy, scikit-learn, Matplotlib, Seaborn, openpyxl, pyxlsb, TensorFlow, and PyTorch.
• The candidate should be well-versed in Python coding standards and formatting conventions to ensure maintainable, scalable, and reusable modules.
• Experience working on Posit Workbench and Posit Connect will be an added advantage.
• The candidate should ensure data quality, governance, and compliance with organizational standards.

Tools and Technology Experience

• Mandatory experience includes Python for data processing, engineering, and automation, SQL, and proficiency with version control systems such as Azure DevOps or Bitbucket.
• Preferred experience includes R programming, Posit Workbench, and R Shiny.
• Experience processing large amounts of data using Big Data technologies is preferred.
• Familiarity with Microsoft Power Platform tools is desirable.
• Knowledge of data visualization tools and techniques will be considered an advantage.

Functional and Other Expertise

Relevant experience includes 5 to 8 years of experience using the Python programming language for end-to-end data pre-processing, transformation, and automation.

Educational qualification should be BE, B.Tech, MCA, or a Master’s degree in Statistics or Mathematics from Tier 1 institutions.

Graduate or above