Data Scientist

WNS; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

WNS is seeking a Data and AI Specialist to drive the development of AI/ML models and data solutions on Azure Databricks. The role requires strong Python, SQL, and NLP expertise with experience in data engineering and analytics across Azure-based environments.

You will work with cross-functional teams, design data pipelines, ensure data quality, and translate complex concepts into business insights while staying current with AI/ML and cloud trends.

Qualifications

• Python development in AI/ML and data analysis with SQL and NLP/NLU applications.
• Experience with data visualization and reporting tools such as Power BI and SharePoint integrations.
• Design and maintain data pipelines, ETL processes, and data storage solutions on Azure Databricks.
• Strong communication skills and ability to work in cross-functional teams in an Agile environment.
• Stay updated with latest data science, AI/ML, and cloud technologies; drive model improvements.

Responsibilities

• Develop Python models and algorithms on Azure Databricks for data science tasks.
• Architect enterprise applications and integrate data systems.
• Manage hosting and support of Azure-based applications.
• Build and maintain scalable data processing pipelines and data stores on Azure.
• Collaborate with teams and present insights through reports and presentations.
• Research and implement advancements to improve models and solutions.

Skills

Python for AI/ML

SQL

NLP/NLU

Power BI

Power Platform

Jira/AGILE

Cross-functional teamwork

Data visualization

English communication

Education

Bachelor's/Master's in CS/IT/AI/ML/MCA

Tools

Databricks

Azure

Azure SQL

SharePoint

Power Platform

Job description

Experience: Knowledge of Consumer Healthcare and Pharmaceutical Business Research would be an added advantage

Min. Qualification required to man the position: Bachelor's, Master's in Computer Science, or MCA degree, Data Science, AI/ML, IT, or related field

Min. Experience required to man the position: 4-5 years

Data and AI Specialist, Consulting role

Key Responsibilities:

• Python developer experienced with Azure Cloud using Databricks for 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 of Azure Cloud
• 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

Key Interactions (Internal/External Customers)

• Internal
• External
• Team Members
• Client Stakeholders

Competencies and Mandatory Must-Haves

• Python development in 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 Platforms and SharePoint, including (e.g., Power Automate).
• Data Engineering: Expertise in designing and maintaining data pipelines and ETL processes. Experience with data storage solutions (e.g., Azure SQL). Understanding of data quality and governance principles. Experience with Databricks for big data processing and analytics.
• Cloud Management: Proficiency in cloud platforms (e.g., Azure). Knowledge of hosting and supporting applications of Azure Cloud. Knowledge of cloud security and compliance.
• Communication: Experience in 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 & Development: Ability to stay updated with the latest advancements in data science, AI/ML, and cloud technologies. Experience in conducting research and improving model performance.
• Must exhibit following core behaviors: Taking ownership / accountability of the projects assigned; Flexibility to work on cross-team projects across all domains; Critical thinking; Self-motivated, able to work autonomously.