Data scientist Work, Jobs in Grays, Ess (with Salaries)

Data Scientist
Sage —London
- £69,000 - £74,000 a year
- Hybrid work
- Azure
- In-person
- AI
- Annual leave
12d
Data Scientist
Twenty First Group —London
- Hybrid work
- SQL
- Machine learning
- AI
- Annual leave
Quick apply
Data Scientist
Trainline —London
- Full-time
- Hybrid work
- Communication skills
- Analytics
11d
Data Scientist
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Machine learning
- Work from home
Quick apply
Junior Data Scientist
LiveScore Group —London
- SQL
- Machine learning
Quick apply
2d
Math, Physics & Engineering Graduates
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Maths
- Work from home
Quick apply
Quantitative Analyst (Math, Physics & Engineering degrees)
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Machine learning
- Work from home
Quick apply
Data Scientist
Competition & Markets Authority —London
- £49,400 - £53,200 a year
- Part-time
- Hybrid work
- Presentation skills
- Machine learning
- AI
- Employee assistance programme
- Employee discount
2d
Sr. Data Scientist
Canoe Intelligence —London
- £160,000 - £180,000 a year
- Remote
- Master's degree
- Bachelor's degree
- Machine learning
- Annual leave
- Work from home
2d
Data Scientist
Teya —London
- Full-time
- Machine learning
- Annual leave
- Flexible schedule
2d
Climate Data Scientist
Institutional Shareholder Services —London
- Full-time
- English
- Analysis skills
- Bachelor's degree
Data Scientist
Qureight Ltd —London
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
10d
Data Scientist
DAINTTA —London
- £61,000 - £83,000 a year
- Full-time
- Hybrid work
- Presentation skills
- Annual leave
- Employee assistance programme
Quick apply
Data Scientist
Lendable —London
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Referral programme
Staff Data Scientist
marshmallow —London
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
Data Scientist
BBC —London
- £40,000 - £50,000 a year
- Full-time
- Computer Science
- Analysis skills
- Machine learning
9d
Data Science
Axle Energy —London
- £75,000 - £200,000 a year
- Full-time
- Hybrid work
- Software development
Quick apply
Data Scientist
London Stock Exchange Group —London
- Full-time
- Azure
- Machine learning
- Mentoring
9d
Data Scientist
Claims Recruitment Services —London
- Databases
- Machine learning
Data Scientist
myPOS —London
- Hybrid work
- Master's degree
- AI
- Referral programme

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Data Scientist

Sage -
London

Apply Now

Job details

£69,000 - £74,000 a year
12 days ago

Benefits

Season ticket loan
Annual leave

Qualifications

Power BI
Azure
Stakeholder collaboration
Computer vision
Mentoring junior staff
Power BI data visualisation
Machine learning modelling
Natural language processing
GitHub
Multidisciplinary collaboration
Data science
Data visualisation
AI
GitLab
Microsoft Azure

Full 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:

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

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, includingNLP, 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 [email protected]. 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.

Apply Now

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