RevTech
Data Scientist
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
United Kingdom
Work mode:
Onsite
Published on:
2 September 2026
What they need
Data Scientist | NLP & Machine Learning | UK Remote
I’m working with a mission-driven technology company using AI, machine learning and NLP to solve complex problems within a highly impactful sector.
They’re looking for a Data Scientist to join a growing team, working across large-scale unstructured text data and developing machine learning solutions that have a direct real-world impact.
The role
You’ll be hands-on across the full data science lifecycle, including:
- Designing and implementing NLP approaches for unstructured text data
- Developing and training machine learning models for automated text classification
- Exploring new research, techniques and innovative approaches
- Working directly with customers to understand requirements and evolve solutions
- Communicating findings through reports, presentations and potentially academic publications
- Supporting the delivery of projects within an Agile environment
What they’re looking for
- 2+ years' commercial experience as a Data Scientist
- Strong Python experience, particularly for text analysis and machine learning
- Experience with tools/frameworks such as spaCy and TensorFlow
- Familiarity with MLOps and AWS, particularly around model development, deployment and monitoring
- Strong analytical and problem-solving ability
- Experience working directly with clients or external stakeholders
- Excellent communication and stakeholder management skills
- Experience with Jira, Confluence or similar project management tools
- Must have full right to work in the UK
Nice to have
- Experience within SaaS, technology or another data-intensive environment
- Academic publications
- Postgraduate degree in a quantitative discipline
- Strong understanding of Agile methodologies such as Scrum or Kanban
If you're a Data Scientist with a strong NLP/ML background who enjoys combining technical work with customer interaction, I'd be keen to speak.
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