S

Shell

Global oil and gas energy company

Data Scientist

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Have a graduate qualification in an analytical or science-based discipline, such as engineering, mathematics, or computer science; a PhD in machine learning, optimisation, or equivalent is ideal.
  • Have end-to-end experience with data, including querying, aggregation, analysis, and visualization.
  • Have strong competencies in Python for data analysis using data science libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
  • Have strong SQL skills for data retrieval, basic analysis, and data cleansing.
  • Have strong knowledge and application of object-oriented design and software best practices in Python.
  • Be familiar with cloud architecture, particularly deploying and hosting applications in a cloud environment.
  • Be commercially aware and value focused, and able to work with minimal supervision and guidance.
  • Have good communication skills to present new developments and facilitate acceptance by the team and traders.

Responsibilities

  • Prepare, process, clean, and visualize power, gas, and weather datasets to establish a basis for further analysis.
  • Develop, analyse, and conduct different forecasting approaches for variables such as demand, wind, solar, and prices.
  • Statistically evaluate and validate different types of forecasts.
  • Build a framework to deploy models in production for daily use in trading decisions.
  • Share the deployment framework with the rest of the team to improve the performance of their developments.
  • Participate in designing and developing a computational environment that enables scalability and high computational power.
  • Develop in-house optimisation models, including stack and dispatch models.
  • Bring new model ideas to improve the desk's P&L.
  • Delegate and lead models and infrastructure projects carried out by teams of technical people in IT and modelling.

Desired Qualifications

  • Have knowledge of algorithmic complexity theory.
  • Have knowledge of parallelism and concurrency.
  • Have experience with messaging or data-streaming technologies such as Kafka, ActiveMQ, Azure Service Bus, and Azure Event Hubs.
  • Have experience containerising models and deploying them in Kubernetes.
  • Have experience implementing algorithms and data structures.
  • Have knowledge of linear algebra, calculus, and discrete mathematics.

About the Company

Shell

Global oil and gas energy company

Provide a concise summary of Shell that answers: 1) what they do, 2) how their products work, 3) how they differ from competitors, and 4) their goal, in simple terms suitable for a high school student.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1890

Recently Posted Jobs

Explore more opportunities at Shell

See more jobs