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About the Role

Shell Energy Europe & Environmental Products is seeking a Data Scientist to join the Market Analysis team. This role focuses on developing and improving forecasting models critical for informed decision-making on the trading desk, utilizing methods like machine learning and optimization.

Responsibilities

• Prepare, process, clean, and visualize power, gas, and weather data for analysis.
• Develop and analyze various approaches for forecasting demand, wind, solar, and prices.
• Perform statistical evaluation and validation of forecasts.
• Build a framework for deploying models into production for daily trading decisions.
• Share the deployment framework with the team to enhance development performance.
• Participate in the design and development of a scalable computational environment with high computational power.
• Develop in-house optimization models (stack models, dispatch models).
• Propose new model ideas to improve the desk's P&L.
• Lead projects involving models and infrastructures with IT and modeling teams.

Requirements

• Graduate qualification in an analytical or science-based discipline (e.g., engineering, maths, computer science).
• Ideally a PhD in machine learning, optimization, or equivalent.
• End-to-end experience with data, including querying, aggregation, analysis, and visualization.
• Strong Python programming skills for data analysis using libraries like Pandas, NumPy, SciPy, and Scikit-learn.
• Strong SQL skills for data retrieval, basic analysis, and data cleansing.
• Strong knowledge and application of object-oriented design and software best practices in Python.
• Familiarity with cloud architecture, focusing on deploying and hosting applications in a cloud environment (Azure/AWS).
• Self-starter with commercial awareness and value focus, capable of working with minimal supervision.
• Good communication skills for presenting developments and facilitating acceptance.
• Proficiency in algorithmic complexity theory.
• Proficiency in parallelism & concurrency.
• Experience with messaging and/or data streaming technologies (e.g., Kafka, ActiveMQ, Azure Service Bus, Azure Event Hubs).
• Experience in containerizing models and deploying in Kubernetes.
• Experience implementing algorithms and data structures.
• Good knowledge of linear algebra, calculus, and discrete mathematics.

Skills

• Python
• Data Science Libraries (Pandas, NumPy, SciPy, Scikit-learn)
• SQL
• Object-Oriented Design
• Software Best Practices
• Cloud Architecture (Azure/AWS)
• Algorithmic Complexity Theory
• Parallelism & Concurrency
• Messaging Technologies
• Data Streaming Technologies
• Containerization
• Kubernetes
• Algorithms
• Data Structures
• Linear Algebra
• Calculus
• Discrete Mathematics
• Machine Learning
• Optimization
• Time Series Forecasting
• Stochastic Optimization
• Dynamic Programming
• LP/MILP Models

Location

• United Kingdom

Work Type

• Regular
• Full-time

Experience Level

• Experienced Professionals

Education Level

• Graduate qualification in an analytical or science-based discipline
• PhD in machine learning, optimisation or equivalent

Salary/Compensations

• Competitive starting salary
• Annual performance related salary increase

Benefits

• Opportunity to develop skills for growth
• Environment valuing honesty, integrity, and respect
• Work-life balance
• Progress as a person working on the energy transition
• Continuously grow transferable skills
• Work at the forefront of technology, trends, and practices
• Collaborate with experienced colleagues
• Values-led culture
• Flexible working options
• Paid parental leave (including for non-birthing parents)
• Access to a wide range of training and development programmes

About the Company

• Shell Energy Europe & Environmental Products focuses on market analysis and forecasting.
• Shell UK is a major producer in the North Sea, supplying a significant portion of the UK's oil and gas.
• Shell UK aims to be a key investor in the UK energy system, assisting customers in decarbonization, particularly in transport and industry, to meet the 2050 net-zero goal.

Equal Opportunity

• Shell is an Equal Opportunity Employer.
• We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
• Shell is working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel.
• We strive to ensure that our process and workplace is accessible to everyone and are dedicated to making reasonable adjustments to support your needs.