Hirexa Solutions

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown", offering a pay rate of "unknown". Key skills include AI/ML expertise, Python, SQL, cloud computing, and MLOps. Strong analytical and communication skills are essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 25, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Analysis #"ETL (Extract #Transform #Load)" #Cloud #AI (Artificial Intelligence) #Statistics #Programming #ML (Machine Learning) #ML Ops (Machine Learning Operations) #Python #Data Wrangling #Data Science
Role description
Requirements We are looking for candidates who have: • Proven experience as an AI/ML professional. • A strong understanding of Python programming concepts, leading practices, and SQL skills. • Experience in any cloud computing environment. • Familiarity with Machine Learning Operations (MLOps) methodologies. • An eye for detail and strong analytical skills. • Excellent problem-solving abilities. • Strong communication and presentation skills Primary Skills : 1. Problem Solving - Defines a problem, generates solutions, and evaluates and identifies the best solution to overcome the problem 2. Artificial intelligence ethics - Demonstrates knowledge and application of moral principles, guidelines and techniques to inform the development and responsible use of artificial intelligence technology 3. Data analysis - Collects, analyses and interprets data to reach conclusions and/or present insights and findings 4. Data wrangling - Cleans, manipulates, and transforms data from one form into another format that is more useful and valuable 5. Statistics - Applies the right statistical methods or formulas to solve problems or analyse a situation 6. Statistical Algorithms - Understands and uses algorithms to gather insights from data Secondary Skills: 1. Communication - Communicates with clarity and precision, presenting complex / technical information in a concise format that is audience appropriate 2. Negotiation & influence - Engages in discussion to reach an agreement and create outcomes, affecting the action, behaviours, or opinions of others 3. Stakeholder management - Builds trusting relationships with internal and external stakeholders to understand their drivers and negotiate positive outcomes