At a Glance
- Tasks: Shape and implement AI/ML solutions in academic publishing, tackling NLP and computer vision.
- Company: Sage, a leading academic publisher based in London.
- Benefits: Generous leave, home-working allowance, and ongoing professional development.
- Other info: Hybrid role with opportunities for collaboration and growth.
- Why this job: Make a real impact in the academic world using cutting-edge AI/ML technologies.
- Qualifications: Fluency in Python, R, SQL, and experience with Git workflows.
The predicted salary is between 63000 - 77000 £ per year.
Sage in London is seeking a Data Scientist to shape and implement AI/ML solutions across the business.
You will tackle NLP, computer vision, and recommender systems while collaborating with data engineers and ML engineers to deploy scalable models.
You should be fluent in Python, R, and SQL, experienced with Git-based workflows, and capable of turning data into actionable insights with Power BI/Looker.
- This hybrid role offers generous leave, a home-working allowance, and ongoing professional
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AI/ML Data Scientist — Impactful Academic Publishing in London employer: Sage
At Sage, we pride ourselves on being an exceptional employer that fosters innovation and growth. Our high-performing culture encourages creativity and collaboration, providing graduates with structured training, mentorship from industry experts, and opportunities to make a meaningful impact through initiatives like the Sage Foundation. With a commitment to employee well-being and a hybrid work model, you'll thrive in an environment that values your contributions and supports your career journey from day one.
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We think this is how you could land AI/ML Data Scientist — Impactful Academic Publishing in London
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We think you need these skills to ace AI/ML Data Scientist — Impactful Academic Publishing in London
Some tips for your application 🫡
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