Data Scientist

WNS Holdings; Gurugram District; Hybrid; INR 1,500,000 - 2,000,000; Full time

Job summary

WNS Holdings is seeking an Assistant Manager - Data Scientist in Gurgaon. This role involves utilizing data science, AI/ML, and engineering techniques to support strategic business decisions. You'll be responsible for creating scalable data pipelines, developing models, and managing cloud infrastructure for effective data processing.

The ideal candidate should have 6-8 years of experience, a strong background in programming and statistical analysis, and excellent English communication skills. Proficiency in Azure and Power BI is essential.

Qualifications

• 6 - 8 years of relevant experience in data science and analytics.
• Proficiency in Python, R, and cloud platforms like Azure.
• Strong English communication skills are essential.

Responsibilities

• Design data pipelines and develop innovative models.
• Manage cloud infrastructure for efficient data processing.
• Collaborate with cross-functional teams for solutions.

Skills

Python development for AI/ML

Programming in Python or R, SQL

Statistical analysis and machine learning

NLP and NLU expertise

Data visualization skills (e.g., Power BI)

Microsoft Power Platform and SharePoint

Designing and maintaining data pipelines

Proficiency in Azure

Collaboration and communication

Research skills and staying updated with trends

Education

B.Tech / M.Tech / MCA in Computer Science, Data Science, AI/ML, IT

Tools

Azure Databricks

Power BI

Azure SQL

Jira

Job description

Job Title: Assistant Manager - Data Scientist

Business / Location: Gurgaon

Experience: 6 - 8 Years

Qualifications

• B.Tech / M.Tech / MCA, masters in Computer Science, Data Science, AI/ML, IT, or related fields
• 4-5 years of relevant experience
• Proficiency in Python, R, cloud platforms (Azure), and data visualization tools like Power BI
• Advanced certifications and experience with big data technologies, real-time data processing
• Azure Data Scientist Associate
• Azure Data Engineer Associate

Excellent English communication skills

Desired Experience

Knowledge of Consumer Healthcare and Pharmaceutical business research would be an added advantage.

Role Overview

The role aims to leverage data analysis, engineering, and AI/ML techniques to drive strategic business decisions and innovations. This position is responsible for designing and implementing scalable data pipelines, developing innovative models, and managing cloud infrastructure to ensure efficient data processing and storage. The role also involves collaborating with cross‑functional teams to translate business needs into technical solutions, and staying abreast of the latest technological advancements. Effective communication, particularly in English, is essential to articulate complex insights and foster a collaborative environment. The ultimate goal is to enhance data‑driven decision‑making and maintain a competitive edge through continuous improvement and innovation.

Key Responsibilities

• Python developer experienced with Azure Cloud using Azure Databricks.
• Data Science: Create models and algorithms to analyze data and solve business problems.
• Application Architecture: Knowledge of enterprise application integration and application design.
• Cloud Management: Knowledge of hosting and supporting applications on Azure Cloud.
• Data Engineering: Build and maintain systems to process and store data efficiently.
• Collaboration: Work with different teams to understand their needs and provide data solutions; share insights through reports and presentations.
• Research: Keep up with the latest tech trends and improve existing models and systems.

Must‑Have Skills

• Python development for AI/ML and data analysis.
• Strong programming skills in Python or R, SQL.
• Proficiency in statistical analysis and machine learning techniques.
• Hands‑on experience in NLP and NLU.
• Experience with data visualization and reporting tools (e.g., Power BI).
• Experience with Microsoft Power Platform and SharePoint, including Power Automate.
• Data Engineering: Expertise in designing and maintaining data pipelines and ETL processes; experience with data storage solutions (Azure SQL); understanding of data quality and governance principles; experience with Databricks for big data processing.
• Cloud Management: Proficiency in Azure; knowledge of hosting, supporting, and securing Azure applications.
• Collaboration and Communication: Experience with agile methodologies and project management tools (e.g., Jira); ability to translate complex technical concepts into business terms; experience working in cross‑functional teams.
• Excellent English communication skills, both written and verbal.
• Research and Development: Stay updated with the latest advancements in data science, AI/ML, and cloud technologies; experience conducting research and improving model performance.
• Behavior: Taking ownership/accountability of assigned projects.