Data Scientist (Energy)

Summary: The role of Data Scientist in the energy sector requires expertise in Python and experience with Azure ML Ops and Databricks. The candidate will manage large data modeling and implement machine learning models to drive data-driven decision-making. Collaboration with cross-functional teams and ensuring data quality and governance are key aspects of the position. The role is primarily on-site a couple of days a week and classified as inside IR35.

Key Responsibilities:

• Manage Azure ML Ops and large data modeling.
• Leverage the Databricks platform for advanced data processing and analytics.
• Utilize Python for data analysis, exploration, and processing.
• Develop and implement machine learning models and algorithms.
• Optimize ML Ops processes within the Azure environment.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Ensure data quality and integrity through effective governance and validation processes.
• Stay updated with advancements in data science, machine learning, and cloud technologies.

Key Skills:

• Strong expertise in Python.
• Experience in the energy industry.
• Proficiency in Azure Machine Learning and Databricks.
• Robust background in data science and machine learning.
• Knowledge of cloud-based solutions.
• Ability to manage and optimize ML Ops processes.
• Strong analytical and problem-solving skills.

Salary (Rate): £600 a day

City: Wokingham

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

We are currently looking for a number of skilled Data Scientist with strong expertise in Python to join our clients team. You must have experience of working within the energy industry previously and the role involves managing Azure ML Ops, large data modelling, and leveraging the Databricks platform. The ideal candidate will have a robust background in data science, machine learning, and cloud-based solutions to drive data-driven decision-making and innovation within the role. Utilise Python for advanced data analysis, exploration, and processing to uncover insights and trends and develop and implement machine learning models and algorithms using Python, Azure Machine Learning, and Databricks. You will manage and optimise ML Ops processes within the Azure environment, ensuring efficient deployment, monitoring, and maintenance of models and collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Develop and maintain large-scale data models to support analytics and reporting needs as well as utilising Databricks for advanced data processing and analytics, ensuring scalability and performance. Ensure data quality and integrity through effective data governance and validation processes and stay updated with the latest advancements in data science, machine learning, and cloud technologies to ensure best practices are applied. You will be on site a couple of days a week max and the roles will be inside IR35.