HSBC

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in London, hybrid for 2 days a week, offering up to £540 Umbrella. Key skills include Python/R, SQL, data visualization, machine learning, and HR dataset analysis. Strong communication and organizational skills required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
540
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🗓️ - Date
April 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #Data Wrangling #Datasets #GIT #Scala #Storytelling #Databases #Regression #R #SQL (Structured Query Language) #Data Analysis #Version Control #Python #Data Science #Data Visualisation #Statistics #Documentation
Role description
Location - London 2 days Rate - upto £540 Umbrella EXPERIENCE, QUALIFICATIONS AND SKILLS -Skills in Python or R (preferably both) -Excellent organisational skills, both in version control (i.e. git), documentation, and prioritisation -Excellent data literacy, data wrangling, exploratory data analysis skills, and statistics -Ability to use modern data visualisation tools alongside storytelling to deliver compelling insights -Machine learning on real-world data, both supervised and unsupervised, especially in using regression or other causal inference methods on hypothesis -Curiosity and empathy in a problem-space, in turning a business problem into a data solution -Experience or demonstrable interest/potential talent in the analysis of HR datasets -Excellent understanding of SQL and databases -Strong background in academic research, or experience in reading and interpreting academic research. -Ability to manage and/or collaborate with cross-functional teams across geographies through influence -Excellent written communication and presentation skills to a wide range of internal and external audiences, including executive level, with ability to summarise technical concepts to a non technical or generalist audience. -Self starter, resilient and tenacious with focus on execution and delivery -Ability to navigate within a changing, complex, culturally rich and geographically dispersed environment -Understanding of the risk, privacy, and ethics landscape relating to HR data science, and the right skills to know when to escalate or own different risks