DATA SCIENTIST LEAD L1

Job description

**Job Title:** DATA SCIENTIST LEAD L1 **City:** Hyderabad **State/Province:** Telangana **Posting Start Date:** 7/26/26 **Wipro Limited (NYSE:** WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. **Years of Experience:** 5-10years, Work timing - 01:30 -10:30 PM shifts **Preferable:** Production Engineering knowledge Oil \& Gas industry Timeseries ML and constrained optimization for production ramp/sequence planning; ability to encode facility guardrails and drawdown targets. Pressure system feature engineering using DHP/WHP/Manifold/Up/Downstream signals; comfort reconciling telemetry with physical intuition. OT/historian (PI) data wrangling at scale; robust handling of gaps, sensor drift, and event slicing for ramp windows. Azure ML model packaging, endpoints, monitoring; handson with CI/CD for retrains and can migrate from HPCtrained models to cloudserved artifacts. **Operatorcentric delivery:** translating model outputs into clear ramp steps/visual cues (stoplights, countdowns) and validating against controlroom practice. ͏ **Profile Requirement :** A highly skilled Machine Learning Engineer with 5--10 years of experience in timeseries forecasting, sensorlevel feature engineering, and optimization models for industrial/energy systems. Strong background working with PI historian, operational telemetry, and production facility constraints. Proficient in designing endtoend ML pipelines---from OT data extraction and feature engineering to model deployment, monitoring, and operatorcentric UI delivery. Adept at translating complex ML/optimization outputs into clear operational instructions used by field/production teams. Senior ML Engineer (6+ years) Applied Scientist -- Energy Optimization OT Data + ML Specialist **Azure ML:** Pipelines, endpoints, environments, registries ADF and Azure Databricks (PySpark, Delta Lake, DLT) CI/CD via Azure DevOps --- YAML pipelines, automated retrains **Monitoring:** Application Insights, Azure Monitor, data drift monitors Containerization (Docker), ONNX model packaging Working knowledge of containerization (Docker) and API deployment (FastAPI/Flask). Preferred Qualifications Experience in oil \& gas, energy, or industrial automation environments. Exposure to artificial lift systems (ESP/gaslift) or hydraulic flow models. Knowledge of physicsbased modeling, surrogate modeling, or hybrid ML+physics workflows. Experience with realtime streaming (Event Hubs, Kafka, IoT Hub). ͏ Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building \& Team Management % trained on new skills, Team attrition % ͏ ͏ **Mandatory Skills:** Data Science . **Experience:** 5-8 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.