Data Scientist

With 900+ employees in Poland supporting over 45 clients, we leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. It is the freedom provided to every individual at Wipro to learn, grow, and create a career path that makes us an organization of opportunities beyond boundaries of region, age, gender, ability, and routine. We invite you to be a part of this experience.

Location and Work Mode:

Poland, remote

Education Requirements:

• Master’s degree in mathematics, Statistics, Data Science, or related fields is mandatory.
• A Ph.D. in Mathematics, Statistics, Data Science, or similar areas is preferred but not mandatory.

Mandatory skills:

Data Science:

• Extensive experience in time-series forecasting, predictive modelling, and deep learning.
• Proficient in designing reusable and scalable machine learning systems.
• Proficiency in implementing techniques such as ARIMA, LSTM, Prophet, Linear Regression, and Random Forest to ensure accurate forecasting and insights.
• Strong command of machine learning libraries, including scikit-learn, XGBoost, Darts, TensorFlow, and PyTorch, along with data manipulation tools like Pandas and NumPy.
• Proven expertise in designing and implementing explicit ensemble techniques such as stacking, boosting and bagging to improve model accuracy and robustness.
• Proven track record of analysing and optimizing performance of operational machine learning models to ensure long-term efficiency and reliability.
• Expertise in retraining and fine-tuning models based on evolving data trends and business requirements.
• MLOps Implementation:
• Proficiency in leveraging Python-based MLOps frameworks for automating machine learning pipelines, including model deployment, monitoring, and periodic retraining.
• Advanced 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 environments.
• PySpark Proficiency
• Strong experience in PySpark for scalable data processing and analytics.

Azure Expertise:

• Azure Machine Learning: Managing parallel model training, deployment, and operationalization using the Python SDK.
• Azure Databricks: Collaborating on data engineering and analytics tasks using PySpark/Python.
• Azure Data Lake: Implementing scalable storage and processing solutions for large datasets.

Preferred skills:

• K-Means Clustering: Experience in applying k-means clustering for data segmentation and pattern identification.
• Bottom-Up Forecasting: Skilled in creating granular bottom-up forecasting models for hierarchical insights.
• Azure Data Factory : Designing, orchestrating, and managing pipelines for seamless data integration and processing.
• knowledge of power trading concepts.
• Generative AI (GenAI): Experience in applying generative AI models, such as GPT or similar frameworks.

Equal Opportunity Employer:

Wipro is an Equal Opportunity Employer. We provide consideration for all qualified applicants regardless of race, color, religion, gender, marital status, age, ethnicity, national origin, sexual orientation, political views, disability, or any other characteristic protected by law.

Internal Reporting and Whistleblower Protection:

Wipro IT Services Poland Sp. z o.o. adheres to the Internal Reporting and Whistleblower Protection Regulations. Candidates can submit internal reports via email to ombuds.person@wipro.com, through the Internet at www.wiproombuds.com, or by post/courier to Wipro's registered office.