Senior Data Scientist

Wipro Limited 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.Job Description :We are looking for candidates with advanced expertise in time-series forecasting, predictive modeling, and deep learning, complemented by hands-on experience in scalable MLOps frameworks. A master’s degree in mathematics, statistics, or data science is required, with a preference for candidates holding a Ph.D. Proficiency in Azure Machine Learning, Databricks, PySpark, and optimizing performance of operational machine learning models is essential. Ideal candidates will have a proven ability to optimize models, automate workflows, and drive innovation while delivering efficient, scalable solutions in forecasting projects.Key Responsibilities :Develop and implement reusable and scalable machine learning systems for time-series forecasting.Analyze, retrain, and fine-tune machine learning models based on evolving data trends and business requirements to ensure long-term efficiency and reliability.Automate machine learning workflows, including deployment, monitoring, and retraining, using Azure Machine Learning as an MLOps technology.Utilize PySpark for efficient data processing and analytics in large-scale environments.Collaborate on data engineering tasks in Azure Databricks and implement scalable storage solutions using Azure Data Lake.Mandatory skills :Master’s degree in mathematics, Statistics, Data Science, or related fields is mandatoryA Ph.D. in Mathematics, Statistics, Data Science, or similar areas is preferred but not mandatoryData Science :Extensive experience in time-series forecasting, predictive modelling, and deep learningProficient in designing reusable and scalable machine learning systemsProficiency in statistical and machine learning approaches for time-series analysis, including ARIMA, LSTM, Prophet, Linear Regression, and Random ForestStrong command of machine learning libraries, including scikit-learn, XGBoost, Darts, TensorFlow, and PyTorch, along with data manipulation tools like Pandas and NumPyProven track record of analysing and optimizing performance of operational machine learning models to ensure long-term efficiency and reliabilityExpertise in retraining and fine-tuning models based on evolving data trends and business requirementsProven expertise in designing and implementing explicit ensemble techniques such as stacking, boosting and bagging to improve model accuracy and robustnessMLOps Implementation :Proficiency in leveraging Python-based MLOps frameworks for automating machine learning pipelines, including model deployment, monitoring, and periodic retrainingAdvanced experience in using the Azure Machine Learning Python SDK to design and implement parallel model training workflows, incorporating distributed computing, parallel job execution, and efficient handling of large-scale datasets in managed cloud environmentsStrong experience in PySpark for scalable data processing and analyticsAzure Machine Learning : Managing parallel model training, deployment, and operationalization using the Python SDKAzure Databricks : Collaborating on data engineering and analytics tasks using PySpark / PythonAzure Data Lake : Implementing scalable storage and processing solutions for large datasetsB͏enefits :Regular All-hands MeetingsReferral ProgramCompany pension planHighly international, high-Performance cultureDiversity is in our DNAReinvent 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. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. #J-18808-Ljbffr