

Primis
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position for 12 months in London Waterloo, offering up to £670 per day. Key skills include JavaScript, Java, Python, machine learning, time series analysis, and cloud deployment. Security clearance is required, with relevant industry experience preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
670
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🗓️ - Date
July 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #GCP (Google Cloud Platform) #Time Series #Scala #GIT #AWS (Amazon Web Services) #Azure #Data Science #Java #Python #SQL (Structured Query Language) #JavaScript #Security #GitHub #Databases #Agile #Angular #NoSQL #Version Control #React #Cloud
Role description
Job title: Data Scientist
Industry: Technology
Contract duration: 12 months
Location: London Waterloo, 5 days onsite
Day rate: Up to £670 per day
The role:
• Design and deploy machine learning algorithms for industrial applications such as fraud detection and predictive maintenance
• Work with time series data and dynamical systems, including cleansing, normalisation, and analysis
• Build and deploy scalable ML solutions using approaches such as MapReduce and streaming
• Develop software using JavaScript, Java, and Python across the stack
• Build and maintain frontend components using frameworks such as React, Redux, Vue, Backbone, or Angular
• Deploy software to at least one major cloud platform, GCP, AWS, or Azure
• Work with SQL and NoSQL databases to support data-driven applications
• Apply strong data structure and algorithm design skills to real-world engineering problems
• Operate within an Agile software development environment
• Bring domain expertise from sectors such as Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, or Telecommunications
Skills needed:
• Strong software development experience with JavaScript and Java or Python
• Experience with Git or other version control software
• Practical experience with time series analysis and dynamical systems
• A portfolio of relevant work, GitHub, papers, or similar
• Solid understanding of common machine learning techniques, applications, and trade-offs
• Experience deploying to leading cloud platforms
• Understanding of SQL and NoSQL databases
• Working knowledge of Agile methodology
• Security clearance required for this role
Research shows men will apply for a role when they meet only 50 to 60% of the requirements, while women and other underrepresented groups tend to apply only when they meet 90 to 100%. If this role excites you but you don't tick every box, please still apply. We'd love to hear from you.
Job title: Data Scientist
Industry: Technology
Contract duration: 12 months
Location: London Waterloo, 5 days onsite
Day rate: Up to £670 per day
The role:
• Design and deploy machine learning algorithms for industrial applications such as fraud detection and predictive maintenance
• Work with time series data and dynamical systems, including cleansing, normalisation, and analysis
• Build and deploy scalable ML solutions using approaches such as MapReduce and streaming
• Develop software using JavaScript, Java, and Python across the stack
• Build and maintain frontend components using frameworks such as React, Redux, Vue, Backbone, or Angular
• Deploy software to at least one major cloud platform, GCP, AWS, or Azure
• Work with SQL and NoSQL databases to support data-driven applications
• Apply strong data structure and algorithm design skills to real-world engineering problems
• Operate within an Agile software development environment
• Bring domain expertise from sectors such as Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, or Telecommunications
Skills needed:
• Strong software development experience with JavaScript and Java or Python
• Experience with Git or other version control software
• Practical experience with time series analysis and dynamical systems
• A portfolio of relevant work, GitHub, papers, or similar
• Solid understanding of common machine learning techniques, applications, and trade-offs
• Experience deploying to leading cloud platforms
• Understanding of SQL and NoSQL databases
• Working knowledge of Agile methodology
• Security clearance required for this role
Research shows men will apply for a role when they meet only 50 to 60% of the requirements, while women and other underrepresented groups tend to apply only when they meet 90 to 100%. If this role excites you but you don't tick every box, please still apply. We'd love to hear from you.






