20 beste Stellen als python in bruchsal – aktuell auf Personalsuche

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Senior Data Scientist (Commodity Markets) m/f/d

LexisNexis Risk Solutions -
Karlsruhe

Jetzt bewerben

Details zur Stelle

Vollzeit
59.300 € – 98.600 € pro Jahr

Leistungen

Homeoffice-Möglichkeit

Qualifikationen

Datenmodellierung
Relationale Datenbanken
Datenbanken
AWS
PostgreSQL
Python

Vollständige Stellenbeschreibung

About ICIS

ICIS is part of Lexis Nexis Risk a division of RELX Group, a FTSE 20 company with revenues of $12.9 billion in 2025 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 world’s 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:

Are you an experienced Quant Analyst / Data Scientist in energy markets? As Quantitative Analyst at ICIS, you will drive data-based innovation and complement our technical capability to operationally deploy and maintain Data Science models and model interfaces in 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, improve and maintain models and Python (dash) applications for augmented energy pricing processes across a wide range of markets.

Key Accountabilities/Responsibilities:

Maintain and enhance applications in Python (Dash) to put the “human in the loop” with Data Science models

Drive and support R&D and operation of data-driven analytical market models: Together with our analysts and market experts, you will co-develop strong quantitative market models to predict key market variables drawing from a wide variety of techniques; guide and support others in the development of models, implement new models as well as model enhancements, such as driving cloud-based model and process automation

Engage with internal market experts to explain our models and insights and to discuss the market structure and key drivers - translating domain knowledge back into our models and building a deep understanding of operations and decision making in our markets

Drive maintenance and improvements of the code base and code structure for operational models and backend data architectures

Develop, test, and roll out new application functionality and change requests following product owner prioritization

Manage operational models & applications (monitoring, refactoring, update of live services)

Review and debug code and ensure good code documentation

Enable efficient communication across teams through fast prototyping and demos of potential solutions

Expand your knowledge, by learning new techniques and applying them to existing and new analytical problems in our markets. Actively share knowledge and innovation areas with your peers

Key Skills/Experience Required:

Minimum of 3 to 5 years of practical experience as a software engineer, preferably in the context of markets and market prices

Excellent Python skills and experience with Python packages for applications (such as Dash)

Professional use of version control tools in projects involving several developers

Experience with designing and managing containerized applications and familiarity with cloud platforms (e.g. AWS)

Data handling and data modeling knowledge and experience using relational databases (e.g. PostgreSQL)

Holistic perspective on business value from analytics and a strong ability to explain complex topics to diverse stakeholders at the appropriate level, strong communication and engagement

Preferably previous exposure to Data Analytics or Data Science and an interest in working on analytics and forecasting projects heavily reliant on human / machine collaboration

We offer:

A highly stable job environment part of a company with 30,000 employees

A vibrant working environment in a dynamic, inclusive, ambitious and committed team which drives Data Science forward and keeps a start-up like atmosphere

Flexibility, loyalty, empowerment, and trust as part of our corporate culture

Benefits, e.g. fitness studio, 20 days work from anywhere and 2 days additional leave for social engagement

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.

Primary Location Base Pay Range: Germany - Karlsruhe €59,300 - €98,600.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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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.

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Erweiterte Suche

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