

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of over 6 months, offering a competitive pay rate. Key skills required include statistics, machine learning, deep learning frameworks, and experience with large datasets. A Bachelor's degree in a quantitative field is essential.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
272.7272727273
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ποΈ - Date discovered
June 5, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Unknown
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π - Contract type
Fixed Term
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π - Security clearance
Unknown
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π - Location detailed
Greater London, England, United Kingdom
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π§ - Skills detailed
#Data Science #Datasets #Statistics #Mathematics #"ETL (Extract #Transform #Load)" #Deep Learning #Computer Science #Scala #ML (Machine Learning)
Role description
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
β’ Analyze raw data: assessing quality, cleansing, structuring for downstream processing
β’ Design accurate and scalable prediction algorithms
β’ Collaborate with engineering team to bring analytical prototypes to production
β’ Generate actionable insights for business improvements
Qualifications
β’ Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
β’ Good knowledge of statistics and statistical machine learning
β’ Experience with deep learning frameworks
β’ Bonus: experience with causal modelling
β’ Experience with gp ideal
β’ Experience working with large datasets
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
β’ Analyze raw data: assessing quality, cleansing, structuring for downstream processing
β’ Design accurate and scalable prediction algorithms
β’ Collaborate with engineering team to bring analytical prototypes to production
β’ Generate actionable insights for business improvements
Qualifications
β’ Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
β’ Good knowledge of statistics and statistical machine learning
β’ Experience with deep learning frameworks
β’ Bonus: experience with causal modelling
β’ Experience with gp ideal
β’ Experience working with large datasets