Crossing Hurdles

Data Scientist | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist contract position, remote, requiring 10-40 hrs/week. Key skills include Python or R, data manipulation, and advanced visualization (Tableau, Power BI). Strong experience in statistics and handling large data sets is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Microsoft Power BI #Libraries #Mathematics #Data Analysis #Programming #Data Science #Python #Data Modeling #Automation #BI (Business Intelligence) #R #Visualization #Statistics #Data Manipulation #"ETL (Extract #Transform #Load)" #Tableau
Role description
Position: Data Scientist Type: Contract Location: Remote Commitment: 10-40 hrs/week Role Responsibilities • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. • Develop, validate, and implement statistical models to extract actionable insights from complex data. • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. • Continuously improve analytical methodologies and automation processes to enhance data workflows. Requirements: • Have strong relevant experience in statistics, mathematics, and data analysis techniques. • Have proven experience in collecting, handling, and cleaning large, complex data sets. • Be proficient in programming languages such as Python, R, or similar for data manipulation and modeling. • Possess strong data modeling skills with experience in building and validating predictive models. • Have advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Application Process: • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage