Senior Data Scientist

NetAmbit; Dadri; Vor Ort; INR 2.400.000 - 3.600.000; Vollzeit

Zusammenfassung

Net Ambit is hiring a hands-on Senior Data Scientist to build scoring models and decision engines across lending, insurance, merchant and workforce domains. You will own data-science use cases from problem definition to production with measurable business impact.

The role requires strong Python, SQL, statistics and ML skills, plus the ability to translate business problems into practical solutions that drive value. This position is based in Noida, UP, full-time, on-site.

Qualifikationen

• Minimum 5 years in data science, ML or advanced analytics with production experience.
• Strong Python and SQL, hands-on Pandas, NumPy and Scikit-learn.
• Solid grounding in statistics, probability and ML techniques including feature engineering.
• Experience with cloud data warehouses like BigQuery.
• Experience deploying/monitoring models in production; familiarity with Git, APIs, containers and CI/CD.

Aufgaben

• Own data-science use cases from problem definition to production and measurable impact.
• Lead model development: propensity, forecasting, recommendation, anomaly detection and more.
• Build scoring, churn, conversion and fraud-risk models with business rules.
• Create training/inference pipelines with data engineers; deploy via APIs or batch jobs.
• Define metrics, run experiments, report results to stakeholders in business language.

Kenntnisse

Python

SQL

Pandas

NumPy

Scikit-learn

Statistics

Machine learning

BigQuery

Git

APIs

Docker / containers

MLOps

Power BI / Superset

Ausbildung

Bachelor's or Master's in Data Science / CS / Stats / Mathematics / Engineering

Tools

Google BigQuery

Git

CI/CD

APIs

Docker

MLflow

Power BI

Apache Superset

Jobbeschreibung

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

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 time
• 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 engines

Deployment 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 model

Impact measurement

• Define model and business-impact metrics, run experiments, and report results to senior stakeholders in clear business language

Governance and responsible AI

• Run explainability, bias and fairness checks, and maintain documentation, lineage and governance records
• Ensure compliance with data privacy, consent and security requirements
• Review the work of junior data scientists and analysts and provide technical guidance

How 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 models

What 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 field

Good 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