About Greyamp: Greyamp Consulting is a boutique transformation consulting firm that works with large enterprises across Southeast Asia and India to turn strategy into execution. We are expanding our focus toward data and AI-le transformation, helping organizations move from analytics experimentation to production-grade data and AI systems that drive real business decisions. Our teams work closely with enterprise clients and global partners to design, build, and operationalize AI-driven solutions across industries such as manufacturing, mining, and healthcare. Why join Greyamp: Joining Greyamp at this stage offers a unique opportunity to work on high-impact transformation programs, build production-grade AI solutions, and collaborate with consulting teams and client stakeholders to solve complex business problems using data and AI. Role Overview: We are looking for a Senior Data Scientist who can translate business problems into deployable analytics, machine learning, and AI solutions. Our data scientists work closely with consulting teams, data engineers, and client stakeholders to design models and analytical systems that improve real business decisions and operational workflows. What You Will Work On:
• Designing predictive models that support operational decision making
• Developing fraud detection, risk scoring, and forecasting solutions
• Building recommendation engines and decision-support models




• Creating AI and LLM-enabled copilots for enterprise workflows
• Deploying analytics models that integrate directly into business processes Your work will move beyond model experimentation — you will help ensure that models deliver measurable business impact.

Key Responsibilities
• Lead data science projects end to end, from problem framing to deployment and monitoring
• Run EDA and feature engineering on complex enterprise datasets
• Build and deploy predictive models for fraud detection, churn, forecasting and recommendations
• Build time series forecasting models and track their performance after deployment
• Evaluate models on business metrics and handle issues like class imbalance and data drift
• Present findings and recommendations to client stakeholders in easy business language
• Mentor junior data scientists and review their work Must Have:
• 5+ years of data science, with models deployed in production
• Python, SQL, Pandas or Polars
• Machine learning (XGBoost, LightGBM, scikit-learn), including feature engineering and model evaluation
• Snowflake, BigQuery or Databricks
• Any one cloud platform (AWS, Azure or GCP)
• Ability to explain the business problem a model solved Good to Have
• Time series forecasting
• Deep learning (PyTorch or TensorFlow)
• LLM and RAG applications
• MLOps tools such as MLflow
• Consulting or client-facing experience

📌 Data Scientist (Bengaluru)
🏢 Greyamp Consulting
📍 Bengaluru