Company Description

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.

Job Description

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, mentoring junior team members, 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.

Data and AI Specialist, Consulting role

Key Responsibilities:

Python developer experienced with Azure Cloud using Azure Data bricks forData Science: Create models and algorithms to analyze data and solve business problemsApplication Architecture: Knowledge of enterprise application integration and application designCloud Management: Knowledge of hosting and supporting applications of Azure CloudData Engineering: Build and maintain systems to process and store data efficientlyCollaboration: Work with different teams to understand their needs and provide data solutions. Share insights through reports and presentationsResearch: Keep up with the latest tech trends and improve existing models and systems

Mentorship: Guide and support junior team members

Must have:

Python development in AI / ML and Data Analysis:Strong programming skills in Python or R, SQLProficiency in statistical analysis and machine learning techniquesHands on experience in NLP and NLUExperience with data visualization and reporting tools (e.g., Power BI)Experience with Microsoft Power Platforms and SharePoint, including (e.g., Power Automate)Hands on experience if using SharePoint for content managementData Engineering:Expertise in designing and maintaining data pipelines and ETL processesExperience with data storage solutions (e.g. Azure SQL)Understanding of data quality and governance principlesExperience with Databricks for big data processing and analyticsCloud Management:Proficiency in cloud platforms (e.g., Azure)Knowledge of hosting and supporting applications of Azure CloudKnowledge of cloud security and compliance best practicesCollaboration and Communication:Experience in agile methodologies and project management tools (e.g., Jira)Strong interpersonal and communication skillsAbility to translate complex technical concepts into business termsExperience working in cross-functional teamsExcellent English communication skills, both written and verbalResearch and Development:Ability to stay updated with the latest advancements in data science, AI/ML, and cloud technologiesExperience in conducting research and improving model performanceMentorship:Experience in guiding and mentoring junior team membersAbility to foster a collaborative and innovative team environmentMust exhibit following core behaviors:Taking ownership / accountability of the projects assigned

Qualifications

 Bachelor's, Master's in Computer Science, or MCA degree, Data Science, AI/ML, IT, or related fields

 7-9 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

 Excellent English communication skills