Data Science Lead (Mandatory exp) @ Kochi @ Hybrid

Role

We are seeking a visionary and technically skilled Data Science Lead to drive advanced analytics initiatives across Commercial, Financial, and HR domains. This role combines hands-on modeling expertise with strategic leadership to unlock insights, guide data-driven decisions, and mentor a growing team of data scientists. You will work closely with business stakeholders, data engineers, and BI teams to deliver scalable solutions that improve forecasting, performance measurement, and operational efficiency.

Role & responsibilities

• Minimum 8 years of experience in data science, with at least 2 years in a leadership role.
• Proven expertise in:

Machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)

Programming languages (Python, R, SQL)

Expertise in Studio or Sagemaker AI platforms

Data visualization tools (Power BI, Quick Sight/ Suite, Tableau)

Cloud platforms (AWS, Azure, GCP)

Big data technologies (PySpark, Spark, Hadoop) is a plus

Preferred candidate profile

Key Responsibilities

• Define and execute the data science roadmap aligned with business goals and transformation initiatives.
• Lead and mentor a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
• Partner with senior leadership to identify high-impact opportunities for predictive modelling, optimization, and machine learning.
• Design and implement statistical models, machine learning algorithms, and AI solutions to solve complex business problems.
• Oversee the full lifecycle of model developmentfrom data exploration and feature engineering to validation and deployment.
• Collaborate with data engineering teams to ensure robust data pipelines, model scalability, and production readiness.
• Ensure models are built on clean, reliable, and well-governed data.
• Establish best practices for model documentation, versioning, and performance monitoring.
• Promote ethical AI use and compliance with data privacy and regulatory standards.
• Work with stakeholders across Finance, Commercial, HR, and IT to translate business needs into analytical solutions.
• Support BI teams in integrating model outputs into dashboards and reporting tools (e.g., Power BI, Quick Sight/Suite, Tableau).
• Report the data inconsistencies and collaborate with data owners to bridge the gap.

Perks and benefits