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Data Scientist
New
Data

Data Scientist

Poland (Remote)
8 533 - 10 239 USD/monthNet per month - B2B
8 533 - 10 239 USD/monthNet per month - B2B
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Remote

Tech stack

    Data Scientist

    master

    Python

    advanced

    Azure

    advanced

    Energy

    regular

    PySpark

    regular

Job description

Online interview
Friendly offer

🚀 Hiring Now: ETRM Data Scientist (Remote | B2B Contract)

Are you a Data Scientist with deep expertise in time-series forecasting, machine learning, and Azure ML ecosystems? Do you thrive in complex energy trading environments and love building scalable, production-ready ML systems? We have the perfect opportunity for you!


🔍 Role: ETRM Data Scientist

📍 Location: Remote

📄 Type: B2B Contract


🎯 What You’ll Do

  1. Design and implement cutting-edge forecasting models using ARIMA, LSTM, Prophet, and more.
  2. Develop scalable and reusable machine learning pipelines using Azure ML, PySpark, and Python-based MLOps frameworks.
  3. Deploy, monitor, and fine-tune models in operational environments to ensure long-term accuracy and performance.
  4. Work on large-scale datasets and high-performance ML workflows using Azure Databricks and Data Lake.
  5. Apply ensemble methods (stacking, boosting, bagging) for robust and accurate predictions.
  6. Collaborate in a dynamic energy trading environment to optimize decision-making using advanced data science techniques.


What We’re Looking For


Education

🎓 Master’s in Mathematics, Statistics, Data Science, or related fields (Ph.D. preferred but not mandatory)

Mandatory Skills

  1. Advanced Time-Series Forecasting and Predictive Modelling
  2. Deep understanding of ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch, Darts
  3. Strong coding skills in Python and PySpark
  4. Solid hands-on with Azure Machine Learning SDK, Azure Databricks, and Azure Data Lake
  5. Expertise in MLOps and model lifecycle automation
  6. Proficiency in data handling libraries: Pandas, NumPy


Preferred Skills

  1. K-Means Clustering, Bottom-Up Forecasting
  2. Experience with Azure Data Factory and pipeline orchestration
  3. Knowledge of Power/Energy Trading concepts
  4. Exposure to Generative AI (GenAI) and large language models like GPT


🌟 Why Join Us?

  1. Work with cutting-edge technology in the ETRM and energy analytics domain
  2. 100% remote – collaborate with global experts from the comfort of your space
  3. Competitive B2B contract with flexible terms
  4. High-impact role with real-world business value

📩 Interested? Apply now and let’s transform energy trading with data-driven intelligence!

🔗 [Apply Now] or send your CV to siva.s@infoplusltd.co.uk



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8 533 - 10 239 USD/month

Net per month - B2B

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