Information Tech Consultants

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
Nothing Found.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bournemouth, England, United Kingdom
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🧠 - Skills detailed
#Data Analysis #Python #ML (Machine Learning) #Consulting #iOS #AWS (Amazon Web Services) #Big Data #DevOps #Data Science #Azure #Programming #Datasets #R #Statistics #Visualization #Computer Science #Security
Role description
Company Description Information Tech Consultants is a leading provider of specialized software consulting services. Our expertise spans diverse domains, including Android, iOS, Big Data, AWS, O365, Data Science, DevOps, Azure, and Cyber Security. We deliver tailored solutions to meet the unique needs of our clients while fostering innovation and efficiency. Our team is committed to providing exceptional services that drive success for businesses across industries. Role Description This is an on-site, contract position for a Data Scientist. The Data Scientist will be responsible for analyzing and interpreting complex datasets, building predictive models, and developing data-driven solutions. Key responsibilities include performing data analysis, creating data visualizations, applying statistical techniques, and communicating findings to support decision-making processes. Collaboration with cross-functional teams to translate business needs into actionable insights is a critical part of the role. Qualifications • Proficiency in Data Science and Data Analysis techniques • Experience in Data Visualization and Data Analytics • Strong understanding of Statistics and statistical methodologies • Ability to communicate complex insights in a clear and concise manner • Proficiency in programming languages commonly used in data science, such as Python or R • Experience with machine learning tools and frameworks is a plus • A degree in Data Science, Statistics, Computer Science, or a related field • Familiarity with big data tools and platforms is advantageous