

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
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






