Data Science Team Lead

Location: Kochi, Kerala
Employment Type: Full-time
Experience: 4–7 years in Data Science / Machine Learning, with at least 1–2 years in a team-lead or managerial role

Key Responsibilities

• Lead, mentor and manage the Data Science team
• Plan, prioritise and oversee the delivery of data science projects from requirement gathering to deployment and monitoring.
• Translate business problems into data science use cases, analytical frameworks and machine-learning solutions.
• Design, develop, validate and deploy predictive models, statistical models, forecasting solutions and machine-learning algorithms.
• Review code, models, notebooks, dashboards and analytical outputs to ensure accuracy, scalability, reproducibility and quality.
• Collaborate with product, engineering, operations and business stakeholders to understand requirements and deliver actionable insights.
• Establish best practices for data science workflows, documentation, version control, testing, model validation and MLOps.
• Monitor model performance, data quality, data drift and production issues; recommend improvements or retraining where required.
• Ensure data privacy, security, governance and compliance requirements are followed in all data science activities.
• Prepare dashboards, reports and presentations to communicate insights, recommendations and project outcomes to management and non-technical
stakeholders.
• Identify opportunities to apply AI, machine learning and automation to improve business processes and products.
• Support recruitment, onboarding, performance feedback and skill development of team members.

Required Skills and Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related quantitative field.
• 4+ years of hands-on experience in Data Science, Machine Learning, AI or advanced analytics.
• 1–2+ years of experience leading or managing a Data Science team.
• Strong proficiency in Python and SQL.
• Strong knowledge of machine-learning algorithms, statistics, data modelling, feature engineering and model evaluation.
• Hands-on experience with libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
• Experience with data visualisation and BI tools such as Power BI, Tableau or Matplotlib/Seaborn.
• Experience with cloud platforms such as AWS, Azure or Google Cloud is preferred.
• Familiarity with MLOps, model deployment, APIs, version control tools such as Git, and CI/CD practices is desirable.
• Exposure to Generative AI, LLMs, RAG or AI-based automation will be an added advantage.
• Excellent communication, presentation, stakeholder-management and problem-solving skills.
• Ability to manage multiple projects, guide junior team members and deliver within deadlines.

Apply Now

Send your resume to hr@tranzmeo.com