At a Glance
- Tasks: Apply AI and analytics to transform global commodity markets and develop data-driven solutions.
- Company: Join ICIS, part of LexisNexis Risk, a leader in data science.
- Benefits: Enjoy competitive pay and country-specific perks while working remotely.
- Other info: Collaborative environment with opportunities for professional growth and experimentation.
- Why this job: Make a real impact by uncovering high-value opportunities in a dynamic field.
- Qualifications: Experience in data science, strong communication skills, and a passion for innovation.
The predicted salary is between 60750 - 74250 £ per year.
ICIS, part of Lexis Nexis 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 in London employer: RELX INC
ICIS, as part of LexisNexis Risk, is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Data Scientist role in Karlsruhe. Employees benefit from competitive compensation, tailored country-specific perks, and ample opportunities for professional growth through hands-on experimentation and impactful projects in the dynamic field of AI and analytics. Joining our team means being part of a forward-thinking organisation that values your contributions and supports your career development in a vibrant location.
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We think this is how you could land Senior Data Scientist - AI & Analytics, Remote in London
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We think you need these skills to ace Senior Data Scientist - AI & Analytics, Remote in London
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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