Data Scientist*
Recruitment Agency: Sanderson Recruitment
Location: Fully Remote
Temporary: Initially 6 months with long term potential
Salary: £750 - £800 per day
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Leading business is looking to recruit a Data Scientist with strong experience in exploratory analytics, machine learning and NLP to support a major programme focused on extracting insight from complex, largely unstructured funding application data.
This role is focused on early-stage problem solving, investigation and prototype development rather than production engineering. The successful candidate will work with ambiguous requirements, explore datasets, and design potential approaches to classification, semantic search, matching and comparison of text-heavy data.
The emphasis is on understanding the data, testing hypotheses, and developing proof-of-concept solutions that can later be transitioned into production by engineering teams.
Exploratory Data Science & Modelling
Explore structured and unstructured datasets to identify patterns and opportunities
Build proof-of-concept ML and statistical models
Apply NLP and semantic techniques to classify, compare and relate text data
Test and evaluate different modelling approaches
NLP & Text Analytics
Work with text data including titles, summaries and free-text fields
Apply NLP techniques (embeddings, similarity, topic modelling, classification)
Develop semantic search and matching approaches
Translate ambiguous problems into analytical solutions
Evaluation & Insight
Evaluate model performance using statistical and qualitative methods
Compare approaches and recommend optimal solutions
Communicate insights to technical and non-technical stakeholders
Ensure outputs are explainable and decision-ready
Collaboration & Discovery
Work with stakeholders to refine problem definitions
Turn business challenges into analytical hypotheses and experiments
Support shaping AI and data capability direction
Operate in an agile, iterative environment
Key Skills & Experience
Strong experience as a Data Scientist or Applied Data Scientist
Hands-on experience with NLP and text analytics
Strong understanding of statistical modelling and ML techniques
Experience building prototypes / PoCs rather than purely production systems
Python (or R) for data science and modelling
Familiarity with techniques such as embeddings, clustering, classification, similarity matching
Ability to work with ambiguous requirements and exploratory datasets
Experience communicating insights and recommendations to stakeholders
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Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
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