Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

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.

Responsibilities

• 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.

Requirements

• 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.

Skills

• AI/ML
• XGBoost
• Random Forests
• LSTM
• transformers
• Natural Language Processing
• Computer Vision
• recommender systems
• LLMs
• Python
• R
• SQL
• Git
• PowerBI
• Looker

Location

• Remote
• Hybrid

Work Type

• Permanent
• Hybrid working up to 2 days per week in office

Experience Level

• Data Scientist

Salary/Compensations

• £69,000 - £74,000

Benefits

• 25 days annual leave (plus bank holidays) with 2 additional floating personal days.
• 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).

About the Company

• Sage is 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.

Equal Opportunity

• We’re a Disability Confident Employer (Level 1).
• 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.