ETRM Data Scientist - Hungary

Wipro Romania, part of global IT and consulting leader Wipro Ltd., has grown significantly since 2007. With over 2000 employees from 21+ nationalities, it supports 50+ clients, offering a collaborative, inclusive work environment and professional growth opportunities.

Job Description:

· Education Requirements:

o Master’s degree in mathematics, Statistics, Data Science, or related fields is mandatory.

o A Ph.D. in Mathematics, Statistics, Data Science, or similar areas is preferred but not mandatory.

Required Skills and Experience

• Experience: 7+ years
• 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.

Location:

• Hungary - Remote