At a Glance
- Tasks: Apply AI and analytics to global commodity markets and develop scalable data-driven solutions.
- Company: Join ICIS, part of LexisNexis Risk, a leader in data science.
- Benefits: Competitive salary and country-specific benefits for remote work.
- Other info: Collaborative environment with opportunities for experimentation and growth.
- Why this job: Make an impact by uncovering high-value opportunities in a dynamic field.
- Qualifications: Experience in data science, strong communication, and model development skills.
ICIS, part of LexisNexis Risk, seeks a Senior Data Scientist in Karlsruhe to apply AI and analytics to global commodity markets. You will partner with customers, product managers and engineers to uncover high-value opportunities and develop scalable, data-driven solutions.
The role emphasises experimentation, model development and strong communication. Primary location is Germany - Karlsruhe with competitive base pay and country-specific benefits.
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Senior Data Scientist - AI & Analytics, Remote employer: RELX INC
At RX Global, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous training opportunities and cross-functional teamwork, allowing you to thrive in your role as a Data-Driven Multi-Channel Campaign Lead. Located in a vibrant area, we offer a dynamic environment where creativity meets strategy, ensuring that your contributions directly impact our success while enjoying a supportive atmosphere.
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We think this is how you could land Senior Data Scientist - AI & Analytics, Remote
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We think you need these skills to ace Senior Data Scientist - AI & Analytics, Remote
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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