Lead Data Scientist: AI-Driven Commodity Analytics (Remote)

RELX Group

City of Westminster

Vor Ort

GBP 90.000 - 140.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Pension plan
Public transport
Work-from-anywhere (20 days)
Extra leave for social & sustainable L
Learning & development

Zusammenfassung

ICIS, part of RELX Group, is seeking a Lead Data Scientist in London to drive predictive modeling for commodity markets. You will lead a team of data scientists, collaborate with engineers and customers, and deliver production-ready analytics and AI-powered solutions across pricing, supply, demand and trade dynamics.

The role focuses on creating market-leading models, interactive analytics tools (Dash) and data lakehouse integration, while shaping next-generation AI capabilities for the business

Qualifikationen

  • Experience building predictive models for commodity markets or trading contexts.
  • Ability to translate complex data science concepts to non-technical stakeholders.
  • Proven track record of producing production-ready Python/SQL code.

Aufgaben

  • Create and continuously improve analytical commodity market models in Python.
  • Guide, project-manage and retain market modelling talent.
  • Connect and impute external data into market insights.
  • Build interactive analytics and decision-support tools (e.g., Dash).
  • Discuss models with customers and translate domain knowledge into models.

Kenntnisse

Python
SQL
Data modelling
Data visualization
Stakeholder management
Team leadership
Dash/Plotly
Docker
Airflow
Git
Databricks
Snowflake

Tools

Dash/Plotly
Docker
Airflow
Git
Databricks
Snowflake

Jobbeschreibung

ICIS, part of RELX Group, is seeking a Lead Data Scientist in London to drive predictive modeling for commodity markets. You will lead a team of data scientists, collaborate with engineers and customers, and deliver production-ready analytics and AI-powered solutions across pricing, supply, demand and trade dynamics.

The role focuses on creating market-leading models, interactive analytics tools (Dash) and data lakehouse integration, while shaping next-generation AI capabilities for the business

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