At a Glance
- Tasks: Shape and implement innovative AI/ML solutions to tackle real-world business challenges.
- Company: Join a mission-driven, independent publisher dedicated to empowering education and research.
- Benefits: Enjoy 25 days leave, hybrid working, private medical cover, and professional development support.
- Other info: Be part of a culture that values diversity, equity, and inclusion.
- Why this job: Make a real impact in data science while collaborating with a passionate and diverse team.
- Qualifications: Experience in AI/ML, Python, R, SQL, and strong data storytelling skills required.
The predicted salary is between 60000 - 75000 £ per year.
Data Scientist – Permanent - £69,000 - £74,000
Join us and be part of a mission-driven, independent publisher.
You’ll work with a diverse group of people who share a passion for empowering researchers, educators, and institutions to shape the future.
About Sage
Sageis a global academic publisher of books, journals, and library resources with a growing range of technologies to enable discovery, access, and engagement.
Believing that research and education are critical in shaping society, Sara Miller Mc Cune founded Sage in 1965.
Today, we are controlled by a group of trustees charged with maintaining our independence and mission indefinitely.
Our guaranteed independence means we’re free to
- Do more
- supporting an equitable academic future, furthering disciplines that drive social change, and helping social and behavioural science make an impact
- Work together
- building lasting relationships, championing diverse perspectives, and co-creating resources to transform teaching and learning
- Think long-term
- experimenting, taking risks, and investing in new ideas
About our Team
We are driven and dedicated to employing brand-new technology to push the boundaries of what’s possible in data science.
We play a crucial role in driving business outcomes by collaborating closely with departments across the company.
We pride ourselves on high standards, ensuring that our models and solutions are both modern and effective.
Our team is known for its collaborative spirit and dedication to excellence, and we encourage new perspectives that help us deliver at the highest level.
Could you be our new Data Scientist? Are you?
- A Data Scientist with a strong record of delivering AI/ML solutions that drive commercial and customer impact?
- Experienced in applying advanced models like XGBoost, Random Forests, LSTM, and transformers to solve real-world problems?
- Skilled in Natural Language Processing or Computer Vision and recommender systems, including the latest generation of LLMs?
- Fluent in Python, R, and SQL, with hands‑on experience working across large structured and unstructured datasets?
- Confident using Git‑based platforms (Git Hub, Git Lab, Azure Dev Ops) to collaborate and manage code effectively?
- Adata wrangler who can quickly extract key insights from disparate customer data sources?
- Acompelling data storyteller who can visualise and communicate insights using tools like Power BI and Looker?
- A proactive multi-tasker who thrives in fast‑paced environments, managing multiple projects and stakeholders with precision?
Your new role
As a Data Scientist, you will play a key role in shaping, crafting, and implementing innovative AI/ML solutions. Your role will include:
- Employing advanced AI/ML and statistical methods to address a variety of business problems, including NLP, Computer Vision, and recommender systems.
- Applying Azure services to deliver scalable, cloud‑based solutions.
- Functioning as a subject matter expert in data science to provide counsel on various initiatives within the company.
- Representing the data science function in senior‑level discussions and driving a culture of evidence-based decision‑making.
- Collaborating with data engineers to prepare high‑quality datasets and with ML engineers to deploy and optimise models.
- Ensuring models meet technical, ethical, and regulatory standards.
- Resolving complex model performance issues and guiding junior team members.
- Remaining at the forefront of data science and NLP through assessing emerging methods and conveying insights clearly to the business.
Overview of benefits
- 25 days annual leave (plus bank holidays) with 2 additional floating personal days.
- Hybrid working up to 2 days per week in office and a home working allowance.
- Life assurance, income protection, and travel insurance.
- Private medical cover and access to the company doctor.
- Tuition scheme and support for pursuing professional qualifications, including access to Sage books and journals.
- Variety of snacks and beverages available in the office.
- Healthy lifestyle reimbursement and anniversary trips.
- Access to Company loans (season ticket loan, rental deposit loan, cycle loan).
We’re a Disability Confident Employer (Level 1). If you’d like to apply under this scheme, please let us know in your application.
We’re committed to making our recruitment process accessible and inclusive.
If you’d like to request reasonable adjustments, please email humanresources@sagepub. co. uk.
Please note we only accept applications via email if an adjustment has been agreed.
Closing date for applications: Monday 10th August 2026
To ensure we can give each application the attention it deserves, we may consider bringing the closing date forward.
Therefore, we encourage you to submit your application as soon as possible to ensure it is considered.
Diversity, Equity, and Inclusion
At Sage, we are committed to building a diverse and inclusive team and to sustaining a culture that celebrates diversity, encourages authenticity, and builds a deep sense of belonging.
We encourage applications from all members of society irrespective of age, disability, sex or gender identity, sexual orientation, colour, race, nationality, ethnic or national origin, religion, or belief as crafting value through diversity is what makes us strong.
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Data Scientist · London, United Kingdom employer: SAGE Publications, Inc.
Sage is an exceptional employer that champions a mission-driven culture, offering employees the chance to contribute to meaningful academic advancements while enjoying a supportive and collaborative work environment. With a strong focus on employee growth, Sage provides comprehensive benefits including hybrid working options, professional development support, and a commitment to diversity and inclusion, making it an ideal place for those looking to thrive in their careers.
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We think you need these skills to ace Data Scientist · London, United Kingdom
Some tips for your application 🫡
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
