

Simon James IT Ltd
Data Scientist - SC Cleared - £700pd
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position requiring active SC Clearance, offering £700pd for a 12-month contract in Waterloo, London. Key skills include Python, JavaScript, ML techniques, cloud deployment, and industry experience in sectors like Financial Services or Healthcare.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
700
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🗓️ - Date
August 4, 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
#Version Control #GitHub #Data Science #Databases #NoSQL #Java #Azure #GIT #JavaScript #GCP (Google Cloud Platform) #Angular #ML (Machine Learning) #Agile #Cloud #Scala #AWS (Amazon Web Services) #Python #AI (Artificial Intelligence) #React #DevOps #SQL (Structured Query Language)
Role description
Data Scientist / Senior Data Scientist / Solution Engineer - SC Cleared
12-Month Contract - London, Waterloo - £700 pd
• SC Cleared - Must have active transferable SC Clearance
• About the Role
We are looking for a highly skilled Data Scientist, Senior Data Scientist, or Solution Engineer for a 12-month contract based in Waterloo, London. This role sits at the intersection of advanced machine learning and robust software engineering, focusing on deploying industrial-grade applications (such as fraud detection and predictive maintenance) across key sectors for an Enterprise AI client.
Key Responsibilities
• Design, build, and deploy scalable machine learning algorithms and software solutions.
• Analyse, cleanse, and normalise complex time-series data and dynamical systems.
• Integrate ML models into production using cloud platforms and modern JavaScript frameworks.
• Collaborate within an Agile environment to deliver robust data structures and algorithms.
What We Are Looking For
To be successful in this role, you will need a blend of the following engineering and data science capabilities:
• Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular).
• Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce, streaming).
• Data Expertise: Experience with time-series data, dynamical systems, and both SQL and NoSQL databases.
• Cloud & DevOps: Proven experience deploying software to AWS, GCP, or Azure, utilizing Git for version control.
• Industry Experience: Domain expertise in sectors such as Financial Services, Aerospace, Industrial Manufacturing, Healthcare, or Supply Chain is highly desirable.
• Evidence of Capability: A strong portfolio of past projects (GitHub, published papers, etc.).
If you are a hybrid engineer/scientist who thrives on deploying real-world solutions, please apply with your CV and a link to your GitHub or portfolio.
Data Scientist / Senior Data Scientist / Solution Engineer - SC Cleared
12-Month Contract - London, Waterloo - £700 pd
• SC Cleared - Must have active transferable SC Clearance
• About the Role
We are looking for a highly skilled Data Scientist, Senior Data Scientist, or Solution Engineer for a 12-month contract based in Waterloo, London. This role sits at the intersection of advanced machine learning and robust software engineering, focusing on deploying industrial-grade applications (such as fraud detection and predictive maintenance) across key sectors for an Enterprise AI client.
Key Responsibilities
• Design, build, and deploy scalable machine learning algorithms and software solutions.
• Analyse, cleanse, and normalise complex time-series data and dynamical systems.
• Integrate ML models into production using cloud platforms and modern JavaScript frameworks.
• Collaborate within an Agile environment to deliver robust data structures and algorithms.
What We Are Looking For
To be successful in this role, you will need a blend of the following engineering and data science capabilities:
• Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular).
• Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce, streaming).
• Data Expertise: Experience with time-series data, dynamical systems, and both SQL and NoSQL databases.
• Cloud & DevOps: Proven experience deploying software to AWS, GCP, or Azure, utilizing Git for version control.
• Industry Experience: Domain expertise in sectors such as Financial Services, Aerospace, Industrial Manufacturing, Healthcare, or Supply Chain is highly desirable.
• Evidence of Capability: A strong portfolio of past projects (GitHub, published papers, etc.).
If you are a hybrid engineer/scientist who thrives on deploying real-world solutions, please apply with your CV and a link to your GitHub or portfolio.





