OPEN ROLE — VIA SYMPHONI HR

Analytics and Applied Machine Learning Lead.

Pan-IndiaOn-site8–12 yearsPosted 2026-10-07

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

Our client is a leading global professional services firm specializing in accounting, finance, and advisory solutions. They are committed to driving innovation through advanced technology and data-driven insights to solve complex business challenges for their diverse clientele. The firm fosters a collaborative culture that prioritizes professional growth and technical excellence.

About the role.

This role involves leading advanced analytics and machine learning engagements within a cloud-based ecosystem. You will be responsible for the end-to-end delivery of ML solutions, from initial problem framing to model deployment and stakeholder management. The position requires a blend of deep technical expertise and strategic leadership to guide high-impact projects.

What you will do.

  • Lead advanced analytics and machine learning engagements from problem framing to model delivery.
  • Guide technical decisions and maintain high delivery quality across the assigned project scope.
  • Engage with stakeholders to clarify business requirements, manage risks, and define project outcomes.
  • Apply hands-on expertise in Python, machine learning, and statistical modeling to solve complex business problems.
  • Oversee the integration of machine learning models within cloud environments.
  • Communicate complex technical findings to non-technical stakeholders effectively.
  • Drive the implementation of forecasting and classification models to support business objectives.

What you bring.

  • 8–12 years of relevant experience in analytics and machine learning.
  • Strong proficiency in Python and statistical analysis.
  • Hands-on experience with Azure ML and Databricks.
  • Engineering degree or higher qualification.
  • Experience with MLOps and model explainability techniques.
  • Knowledge of Fabric integration and its application in analytics workflows.
  • Ability to travel onsite as required by project engagements.
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