Senior Data Scientist

Urgent Requirement

Senior Data Scientist — Job Description

Net Ambit is hiring a hands-on Senior Data Scientist to build the scoring models and decision engines behind its lending, insurance, merchant and workforce businesses.

Company

Net Ambit

Function

AI & Marketing Distribution – Data & Analytics

Reports to

Tech Head

Level

Senior Data Scientist

Location

Noida, Uttar Pradesh (work from office, full-time)

Experience

Minimum 5 years in data science, machine learning or advanced analytics

About the role

You will own data-science use cases from problem definition to production and measurable business impact. These include customer propensity, product recommendations, lead prioritisation, lending and insurance decision support, workforce rehiring, anomaly detection and operational forecasting. The role needs strong Python, SQL, statistics and machine-learning skills, and the ability to turn business problems into practical solutions.

Key responsibilities

Use-case roadmap

• Work with business leaders to identify, prioritise and frame data-science use cases as clear analytical objectives
• Own the use-case roadmap and deliver prioritised cases on timeModel development
• Lead data exploration, feature engineering, model development and validation
• Build scoring, propensity, conversion, churn, recommendation, forecasting, anomaly and fraud-risk models for customers, merchants, employees and leads
• Combine models with business rules to power decision enginesDeployment and MLOps
• Work with data engineers and application teams to build training and inference pipelines, and deliver model outputs through APIs or batch jobs
• Set up monitoring, drift detection, retraining and version control for every production modelImpact measurement
• Define model and business-impact metrics, run experiments, and report results to senior stakeholders in clear business languageGovernance and responsible AI
• Run explainability, bias and fairness checks, and maintain documentation, lineage and governance records
• Ensure compliance with data privacy, consent and security requirementsMentoring
• Review the work of junior data scientists and analysts and provide technical guidanceHow success is measured
• Business impact of deployed models on conversion, productivity and risk outcomes
• Adoption of model outputs by business and application teams, and reduction in manual decisions
• Model accuracy and stability over time, with effective drift management
• On-time delivery of prioritised use cases, with reproducible, well-documented and compliant modelsWhat we're looking for

Must have

• Minimum 5 years in data science, machine learning or advanced analytics, with at least one solution taken from problem definition to production
• Strong Python and SQL, with hands-on Pandas, NumPy and Scikit-learn
• Strong grounding in statistics, probability and ML techniques: classification, regression, clustering, forecasting and recommendation, including feature engineering, validation and tuning
• Experience with Google BigQuery or another cloud data warehouse
• Experience deploying and monitoring models in production, with familiarity with Git, APIs, containers and CI/CD
• Strong stakeholder management and communication skills
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering or a related fieldGood to have
• XGBoost, LightGBM, TensorFlow or PyTorch
• Google Cloud / Vertex AI and MLflow or an equivalent MLOps platform
• A/B testing and experimental design; optimisation techniques
• Generative AI, LLMs or NLP
• Domain experience in BFSI, sales, customer or workforce analytics
• Power BI or Apache Superset
• Experience mentoring junior data scientists or analysts