Data Science

Industry & Sector

Primary Title:

• Location: India
• Workplace: On-site
  

About The Opportunity

• Design, train and validate predictive models and classifiers to solve business problems and improve KPIs.
• Ingest, clean and transform structured and unstructured datasets; perform feature engineering and selection.
• Build reusable Python-based data pipelines and SQL queries; ensure reproducibility and version control for experiments.
• Deploy models as APIs or containerised services; implement monitoring, rollback and performance validation in production.
• Create dashboards and visualisations to communicate insights and translate technical results into business actions.
• Drive best practices for model governance, testing, and collaborate with engineering teams to operationalise solutions.
  

Skills & Qualifications

Must-Have

• Python
• SQL
• Pandas
• NumPy
• Scikit-learn
• Machine Learning
  

Preferred

• TensorFlow
• Docker
• AWS
  

Candidate Qualifications

• Bachelor's or Master's in Computer Science, Statistics, Mathematics, Engineering or related quantitative discipline.
• Proven experience delivering end-to-end ML solutions, including data preparation, modelling and production deployment.
• Strong statistical reasoning, hypothesis testing and A/B testing experience; ability to interpret model outputs for stakeholders.
• Comfortable working on-site in India and collaborating directly with cross-functional teams and clients.
  

• Hands-on exposure to client projects across industries and opportunities for rapid skill growth.
• Performance-linked incentives and structured mentorship from senior analytics leaders.
• Collaborative, delivery-focused environment with clear paths to technical ownership.