Start Date
Immediate
Expiry Date
28 Apr, 25
Salary
0.0
Posted On
29 Jan, 25
Experience
0 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Teams, Development Projects, Python, Business Value, Software Development, Git, Unit Testing, Analytics, Machine Learning, Sql, Coding Standards, Devops
Industry
Marketing/Advertising/Sales
Senior Data Scientist (Commodity markets) – ICIS – Karlsruhe/Germany or London
Also referred to as: Decision Scientist | Analytics Consultant | Automation Expert
About ICIS:
ICIS is part of Risk Solutions Group (RSG) a division of RELX Group, a FTSE 20 company with revenues of $11 billion in 2023 and an employee base of over 30,000 people across 40 countries. ICIS makes 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. Shaping the world by connecting markets to optimise the worlds valuable resources. With a global team of more than 700, ICIS has employees based in London, New York, Houston, Karlsruhe, Frankfurt, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth.
Job Purpose:
As Senior Data Scientist as ICIS, you will drive data-based innovation by developing analytical models that will quantify impacts to some of the largest industries in the world - energy and chemicals with global supply networks. You will join our existing team of experienced Data Scientists and work closely alongside ICIS market experts around the globe. Our models enable the analysis of prices and market fundamentals to support decision making in trading and operations. You will be part of an international team, which requires occasional travel globally. As of day one, you will take responsibility in demanding analytics innovation projects - your primary focus will be to design a model augmented process which can determine current fair representative market price levels across a wide range of markets.
Key Accountabilities/Responsibilities:
Key Skills/Experience Required:
We offer:
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. At ICIS, we are committed to Diversity and Inclusion, we have a leadership team who are 50% women and more than a third of our technology team are female.
Related fields: Analytics, Automation, Simulation, Operations Research, Artificial Intelligence, Machine Learning, Time Series Analysis, Optimisation, GenAI, Statistics, Econometrics, Behaviour based modelling, Agent based modelling, Economics, System Dynamics.
At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form:
https://forms.office.com/r/eVgFxjLmAK
, or please contact 1-855-833-5120.
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