Data Scientist and Machine Learning - London, United Kingdom - Vitol Group

Description

Vitol is a leader in the energy sector with a presence across the spectrum: from oil through to power, renewables and carbon.

From 40 offices worldwide, we seek to add value across the energy supply chain, including deploying our scale and market understanding to help facilitate the energy transition.

To date, we have committed over $2 billion of capital to renewable projects, and are identifying and developing low-carbon opportunities around the world.

The Desk Data Scientist at Vitol has impact across the full workflow of data science: from working with business stakeholders to help define the project, to data collation and processing, exploratory analysis, model selection and tuning, and implementation of production models or custom visualizations.

We extract value from data in many different ways, and experience exploring and extracting insights from data is just as important as the ability to build complex models.

When driving business outcomes with data, a good visualization is often just as important as a small MAE.

The data we work with is often complex and messy, and a successful Desk Data Scientist at Vitol is always willing to roll up their sleeves and delve into the data in order to achieve results.

The Desk Data Scientist will regularly engage directly with traders, brokers, analysts, and researchers across nearly all aspects of Vitol in order to understand the data that goes into internal models and the business problems that need to be solved, but the day-to-day collaboration will also be with the small and highly agile Data Science team.

Being an energetic and enthusiastic member of a team uniquely positioned to bring the power of data to bear on the inner workings of the energy industry
Ability to relate effortlessly with the commercial side of the business, continuously looking for new ways how AI/DS can create value for Vitol
Standardizing and structuring data in clear, extensible, easily understandable ways
Applying machine learning models in novel ways to heterogeneous data sets to help optimize Vitol's diverse businesses
Helping review the code and experimental design of other Data Scientists to ensure a high level of production quality
Building data expertise with domain experts in specific aspects of Vitol's operations
Aiding in the production-level implementation of the above models and custom visualizations to help drive business value
Degree in a STEM subject with a solid understanding of coding best practices
~3-5+ years in industry working as a data scientist with machine learning models applied to real-world data
~ Extensive experience presenting complex data visually to a wide audience (plotly, bokeh, etc.)
~ Extensive experience exploring and extracting insights from heterogeneous multi-dimensional data sets
~ Fluency in Python (3) with the ability to write clean, modular, well-documented code in a collaborative development setting
~ Advanced coursework in math, statistics, and machine learning preferred
~ Time series modelling (both machine-learning and econometric approaches)
Application of a wide range of machine learning methodologies to real life applications
Cloud-based data science workflows (esp. AWS) and understanding of AWS services
Experience in building ETL pipelines in Python and on AWS is a strong plus
Strong communication skills, both verbally and in writing - passionate about using data to help tell a story
Proven ability to be flexible and work hard, both independently collaboratively
Large diversity of projects with real-world impacts on a truly global scale
Close collaboration with various business units across our key regions (eg. Strong management commitment to incorporating data science into the future of Vitol's operations
#