Data Scientist

SAGE; City Of London; On-site; GBP 69,000 - 74,000; Full time

Benefits offered by this job

25 days annual leave

Hybrid working up to 2 days in office

Private medical cover

Life assurance

Tuition scheme

Job summary

Sage is hiring a Data Scientist in London to develop and deploy AI/ML solutions that impact customers and business metrics. You will work with a diverse team to advance NLP, CV, and recommender systems while leveraging Azure to scale models and enable data-driven decisions.

The role requires strong Python/R/SQL skills, experience with modern ML libraries, and the ability to collaborate across data, engineering, and product teams.

Qualifications

• A Data Scientist with a strong record of delivering AI/ML solutions.
• Experience with models like XGBoost, Random Forests, LSTM, transformers.
• Proficient in NLP or computer vision and recommender systems.
• Fluent in Python, R and SQL with large structured and unstructured data.
• Experience using Git-based collaboration platforms.

Responsibilities

• Employ advanced AI/ML methods to address business problems (NLP, CV, recommender systems).
• Apply Azure services to deliver scalable cloud-based solutions.
• Act as subject matter expert and advise on DS initiatives.
• Represent DS in senior discussions and promote evidence-based decisions.
• Collaborate with data engineers and ML engineers to prepare data and deploy models.
• Ensure models meet ethical, technical and regulatory standards.
• Resolve model performance issues and mentor junior team members.
• Stay at the forefront of data science and NLP and communicate insights to the business.

Skills

Python

R

SQL

NLP

Computer Vision

ML/DL

Education

Degree in Data Science

Tools

GitHub

GitLab

Azure DevOps

PowerBI

Looker

Job description

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 McCune 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 (GitHub, GitLab, Azure DevOps) to collaborate and manage code effectively?
• A data wrangler who can quickly extract key insights from disparate customer data sources?
• A compelling data storyteller who can visualise and communicate insights using tools like PowerBI 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.

Closing date for applications: 6th September 2026

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.

Department Technology Locations London, United Kingdom Yearly salary £69,000 - £74,000 Remote Status Hybrid Employment Type Full-time Employment Level Mid Level