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Gunvor Group

Data Scientist

Reposted 6 Days Ago
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In-Office
London, Greater London, England
Mid level
In-Office
London, Greater London, England
Mid level
The Data Scientist will enhance investment decision-making through data sourcing, onboarding, and transformation, while collaborating with traders and analysts to deliver actionable insights and manage data project lifecycles.
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Job Title:

Data Scientist

Contract Type:

Time Type:

Job Description:

As a Data Scientist, you will play a pivotal role in enhancing investment decision-making by sourcing, designing, and

integrating high-value datasets aligned with trading desk priorities. You will collaborate closely with analysts and traders

to ensure seamless data onboarding and transformation, manage end-to-end data project lifecycles, and develop analytical

models and visualisations that deliver actionable commercial insights. This role demands strong programming skills, a

rigorous analytical mindset, and the ability to translate complex data into clear business recommendations within a fast-

paced, performance-driven environment.

Main Responsibilities

  • Source, design, and onboard new datasets in line with priorities set by trading desks

  • Collaborate with the analysts and trading desk to ensure the smooth integration of new data sources.

  • Implement data transformations to produce high added-value datasets used for investment decisions

  • Manage the full lifecycle of data projects

  • Prototype and design code to extract, clean, and aggregate data from a wide range of raw sources and formats

  • Build data visualisations to extract commercial and actionable insights

  • Support the analysts by developing and applying statistical and analytical models for business problems

  • Translate modelling results into clear, actionable recommendations for the business

Profile

  • Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering

  • 3+ years of experience as a Data Scientist (or similar position); knowledge of commodity market is not mandatory

  • Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy

  • Experience in front-end development (for visualisation)

  • Experience working with both traditional and alternative financial datasets

  • Demonstrable interest in commodity markets and the application of data in its analysis and understanding

  • Excellent communication and analytical skills - you will interact directly with Traders and Analysts

  • Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting.

  • Rigorous and structured approach to problem-solving.

  • Perfect command of English

If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.

Top Skills

Numpy
Pandas
Python

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