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Senior Data Scientist
  • Python
  • SQL
  • Machine Learning
  • Excel
RELX Group
153 days ago

Senior Data Scientist | Predictive Analytics Expert | Market Modeller | Operations Research Scientist,
ICIS Product & Analytics Group

About ICIS

ICIS is a division of RELX Group, a FTSE 20 company with revenues of $10 billion in 2018 and an employee base of over 30,000 across 40 countries. ICIS make some of the world’s most important markets more trusted and predictable by providing data services, thought leadership and decision tools. We exist to help businesses in the energy, petrochemical and fertilizer industries make strategic decisions, mitigate risk, improve productivity and capitalise on new opportunities. Thousands of decisions are taken across supply chains every day using our intelligence and we make this possible through a global presence that delivers the targeted, local insights customers need to achieve growth in this new world of meaningful data. We shape the world by connecting markets to optimise the world’s valuable resources. With a global staff of more than 600, ICIS has employees based in Houston, New York, London, Karlsruhe, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Tokyo and Perth.

The Department:

The Product & Analytics Group develops data-driven services for our large customer base in petrochemicals, energy and fertilizers globally. We collect data and insight about these industries and enhance it with deep market understanding and tools to help decision making every day. Our customers access our data and insight through web platforms.

Job Purpose:

You will be driving key innovation in new data-driven predictive models that will quantify impacts to one of the largest industries in the world - the petrochemical industry - a globally connected supply network. As Senior Data Scientist, you will join our existing team of experienced Data Scientists and work closely together with our global team of market analysts. Our developed models enable predictive scenario analysis on prices and market fundamentals to support decision making in the petrochemical industry. You will be part of an international team, which requires occasional travel globally. As of day one, you will get responsibility in challenging analytics innovation projects.

Key Accountabilities/Responsibilities:

  • R&D of data-driven quantitative market models to predict market variables
  • Discuss the problem domain with customers and market experts & translate insights into models
  • Build a deep understanding of operation and decision making in petrochemical and related global markets
  • Ensure models stay understandable and computationally feasible
  • Enable and support the operation of developed solutions together with analysts to derive high-quality impact analysis
  • Program required routines and data preparations
  • Create smart ways to mitigate data gaps with strong estimates and reasonable assumptions
  • Constantly learn new techniques and apply to existing problems

Key Skills/Experience Required:

  • Minimum of 5 to 7 years of practical experience in predictive modelling, preferably in the context of price prediction or markets – a plus is existing modelling experience in one of the following fields: agent based modelling, assumption based scenario forecasting, mathematical optimization, time series prediction with machine learning, statistics
  • Good understanding of algorithms and computational complexity
  • Wholistic perspective on business value from analytics and strong ability to explain with stakeholders first hand, strong communication and engagement
  • Ability to rapidly learn new problem domains and become conversant in the domain with external contacts and subject matter experts
  • Iterative development of models in teams starting with simple POCs and analytical hypotheses, ability to manage small projects and project teams
  • Basics of software development (modularisation, versioning, tests, coding standards)
  • Advanced programming skills (ideally Python) and SQL
  • University degree in a recognised quantitative science field
  • Ideally existing understanding of markets or economics


  • Curious about everything, willing to ask questions and challenge the status quo in order to provide better customer, employee and business outcomes
  • Passionate about proving a world-class customer experience
  • Excellent communicator, both verbally and written in English (basic German is an advantage)
  • Obsessed with desire for continuous learning and getting better at what we do with the ability to embed this within your team
  • Putting the team and customer first

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

RBI pays competitive salaries.

Preferred locations are London (headquarters) or Germany/Karlsruhe (analytics centre) but you can join our global team from many office locations worldwide.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact 1.877.734.1938 or

Risk & Business Analytics (RBA) provides customers with innovative solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk while enhancing operational efficiency through eight unique brands. RBA is a market segment of RELX and has more than 8,500 employees serving customers in over 180 countries. RBA’s eight brands include: LexisNexis Risk Solutions, Accuity, Proagrica, ICIS, Cirium, XpertHR, Nextens, and EG.

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