

Anson McCade
Embedded Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Embedded Data Scientist on a 6-month contract in London (Hybrid). Pay is up to £750/day. Key skills include optimisation, machine learning, advanced Python, SQL, and cloud platforms (AWS preferred). Experience in large-scale operations is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
750
-
🗓️ - Date
February 17, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Airflow #AWS (Amazon Web Services) #Data Engineering #Data Science #ML (Machine Learning) #GIT #Python #SQL (Structured Query Language) #Cloud #Data Ingestion #Automated Testing #Data Pipeline
Role description
Embedded Data Scientist – Contract
London (Hybrid – 2 days on-site when required)
Inside IR35 | Up to £750/day | 6 months
A rare opportunity to join a large-scale, mission-critical operations environment that runs one of the most complex transport networks in the world. You’ll sit within a modern product-led data squad, building industrial-grade optimisation and machine-learning models that directly influence real-world operational decisions at scale.
Key skills & experience
• Strong experience in optimisation and/or machine learning (this is essential)
• Advanced Python for production systems (clean, tested, object-oriented code)
• Hands-on with operations research techniques (LP, MIP, heuristics)
• Solid data engineering skills (Python & SQL)
• Experience with cloud platforms (AWS preferred)
• Familiarity with CI/CD, Git, automated testing, and workflow orchestration (Dagster / Airflow)
• Exposure to large-scale operational domains
What you’ll be doing
• Building and industrialising optimisation & ML models as part of a full-stack product team
• Developing robust Python data pipelines and production-grade algorithms
• Designing solutions that integrate end-to-end: data ingestion, orchestration, and user workflows
• Applying operations research, optimisation, and ML techniques to real operational problems
To hear more, get in touch with Connor Smyth at Anson McCade.
Embedded Data Scientist – Contract
London (Hybrid – 2 days on-site when required)
Inside IR35 | Up to £750/day | 6 months
A rare opportunity to join a large-scale, mission-critical operations environment that runs one of the most complex transport networks in the world. You’ll sit within a modern product-led data squad, building industrial-grade optimisation and machine-learning models that directly influence real-world operational decisions at scale.
Key skills & experience
• Strong experience in optimisation and/or machine learning (this is essential)
• Advanced Python for production systems (clean, tested, object-oriented code)
• Hands-on with operations research techniques (LP, MIP, heuristics)
• Solid data engineering skills (Python & SQL)
• Experience with cloud platforms (AWS preferred)
• Familiarity with CI/CD, Git, automated testing, and workflow orchestration (Dagster / Airflow)
• Exposure to large-scale operational domains
What you’ll be doing
• Building and industrialising optimisation & ML models as part of a full-stack product team
• Developing robust Python data pipelines and production-grade algorithms
• Designing solutions that integrate end-to-end: data ingestion, orchestration, and user workflows
• Applying operations research, optimisation, and ML techniques to real operational problems
To hear more, get in touch with Connor Smyth at Anson McCade.






