REF82383U - Data science (ML Algorithms, unsupervised techniques, Databrick at WNS Global Services

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 Aug, 26

Salary

0.0

Posted On

20 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ML Algorithms, Unsupervised Techniques, Databricks, Python, PySpark, Azure, AB Testing, CPG Industry Knowledge, Data Analysis, Storytelling, Project Management, Mentoring

Industry

Business Consulting and Services

Description

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 Independently manage the workstreams with proficiency in coding and monitor the outputs from other team members Ensure prompt communication between client stakeholders and the team Should have good understanding of CPG Industry with solutions like Assortments, AB testing, Pricing. Take complete ownership of all assigned projects/tasks, with a high focus on quality and client delight Lead the development of the analysis plan for any new task and translate the requirements clearly to the team Ensure successful completion of client deliverables in line with the project plan/scope Generate actionable insights from the analysis and ensure compelling executive summaries and storytelling through the output Identify gap in the processes; optimize & streamline Lead calls from offshore to discuss project updates, results, etc. and share MoMs as and when needed Be proactive in flagging potential issues/concerns to RM/TH so that corrective actions are taken at the right time Mentor and groom junior/new members in the team Databricks, Python, PySpark, Azure ML Algorithms, unsupervised techniques

Responsibilities

Independently manage data science workstreams, lead analysis plans, and generate actionable insights for client deliverables. The role involves mentoring junior team members and coordinating communication between client stakeholders and the technical team.