

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Wokingham for 6-12 months, with a negotiable pay rate inside IR35. Key skills include LLM applications, Graph and Vector Databases, Python, and time series analysis. A degree in a related field is desirable.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
July 9, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Inside IR35
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π - Security clearance
Unknown
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π - Location detailed
London, England, United Kingdom
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π§ - Skills detailed
#Version Control #Time Series #Spark (Apache Spark) #Databases #AWS (Amazon Web Services) #Data Pipeline #Data Engineering #SQL (Structured Query Language) #Data Visualisation #ML (Machine Learning) #Data Science #GCP (Google Cloud Platform) #Azure #Forecasting #Agile #Big Data #Datasets #Python #Hadoop #GIT #Statistics #Cloud
Role description
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Job Description
Data Scientist
Start: ASAP
Duration: 6-12 months
Location: Wokingham, 3-days per week
Pay: negotiable, INSIDE IR35
Weβre seeking a Data Scientist with expertise in LLM use cases, data engineering, and hands-on experience with Graph and Vector Databases. You'll work on large-scale time series datasets, develop predictive models, and deliver data-driven insights to support business decisions.
Key Responsibilities
β’ Analyse and pre-process time series data; build forecasting and predictive models.
β’ Develop machine learning algorithms and statistical models.
β’ Collaborate with business and technical teams to deliver data science solutions.
β’ Optimise data pipelines in partnership with data engineers.
β’ Communicate insights clearly to stakeholders and support data-driven strategies.
Essential Skills
β’ Experience with LLM applications, Graph DBs, and Vector DBs.
β’ Strong background in Python, time series analysis, and machine learning.
β’ Proficient in data visualisation, SQL, and Agile methodologies.
β’ Skilled at handling complex, unstructured datasets.
Desirable
β’ Degree in Data Science, Statistics, or related field.
β’ Experience with cloud platforms (AWS, Azure, GCP), big data tools (Spark, Hadoop), and version control (Git).