SME Data Science / Senior Data Modeller

ICIS is part of Risk Solutions Group (RSG) a division of RELX Group, a FTSE 20 company with revenues of $10 billion. 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, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth.

The Analytics Department:

In analytics, we develop data-driven market intelligence services for our large global customer base in chemicals, energy and fertilizers. We collect data and insight about our commodity markets and enhance it with deep market understanding and Data Science tools to predict future market developments and help decision making. To date, we have experience in operating more than 10,000 Data Science models and up to a million of automated data jobs per day including a wide range of techniques from statistical to machine learning, large scale optimisation and agent-based models.

The Role:

As Senior Data Modeller for Data Science at ICIS, you will be at the heart of the Data Science journey – overlooking the analytical data warehouses which underpin all of our Data Science developments. You will be working closely with our large community of more than 40 Data Scientists and Data Analysts who create advanced data analytics solutions, such as predictive models. Together with them, you will shape the data models in our warehouses and create understandable, usable, technically robust data foundations for Data Science. The implementation of data models and ETL routines will be handled by the community, so your role really is to lead on the conversation what good looks like, create awareness and establish best practices and guidance. You will establish efficient data schema manipulation team processes, strong schema versioning and documentation. You will help to create an enterprise level data model for ICIS and contribute the Data Science part to it. To the Data Science community, you are the data model specialist who they reach out to because of your experience and how you collaborate.

Key Accountabilities/Responsibilities:

• As specialist, collaborate with Data Scientists, Engineers and Analysts to co-create data models which are understandable, usable, consistent and robust
• Overlook any major new data schema developments and ensure they are of high quality
• Refine existing schemas to converge to an enterprise data model
• Educate and train the Data Science community on data modelling best practices, this way supporting an empowered organisation and keeping personal focus on the more challenging questions
• Hands-on support data engineering tasks as a part of the community
• Continuously improve best practice with our global Data Science team and our Technology team on data models, data quality, data consistency, transparency, documentation etc
• Mentor and train less experienced data talent

Your Profile:

• 5+ years of hands-on experience in the field of Data Modelling, Information Architecture and Data Engineering
• Proficiency with data manipulation language including optimization techniques.
• Understanding of data modeling principles and best practices as well as tooling.
• Knowledge of multiple data storage systems, we heavily use SQL (Postgres, MariaDB), ideally Snowflake.

Ideally: Personal touch points with Data Science topics or teams

• You are comfortable communicating with a range of stakeholders, including data scientists, analysts, and data engineers
• University degree in a quantitative science field, preferably in Data/Engineering/Computer Science
• A collaborative mindset – helping others so they can help themselves
• Fluent in English (written and spoken)
• At least basic user of Python, Git, Linux, SQL
• Openness to occasionally travel globally to meet international colleagues and customers

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. In our analytics focused office in Karlsruhe, more than 16 nationalities work together. Our leadership team is 50% female.

LexisNexis® Risk Solutions Group (RSG), a portfolio of brands that span multiple industries providing customers with innovative technologies, information-based analytics and decision tools and data services that provide market-specific solutions. Approximately 8,700 employees in offices throughout the world support RSG brands by serving customers in more than 180 countries. RSG is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com/group  and www.relx.com .

Related fields: Data Modelling, Information Architecture, Data Architecture, Data Engineering, Analytics, Simulation, Operations Research, Artificial Intelligence, Machine Learning, Time Series Analysis, Optimisation, Statistics, Econometrics, Behaviour based modelling, Agent based modelling, Economics, System Dynamics, MLOps

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