Jobster
Senior Data Scientist - Arrows
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with 12-month rolling contracts, paying £600-£700 per day. Requires production-ready applied data science experience, particularly in forecasting/optimization within Supply Chain or Logistics. Skills needed include Python, SQL, AWS/GCP, and Spark. Hybrid in London.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
700
-
🗓️ - Date
January 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#BigQuery #AWS (Amazon Web Services) #Pandas #Python #GCP (Google Cloud Platform) #NumPy #PySpark #SQL (Structured Query Language) #Databricks #SciPy #Data Science #Forecasting #Redshift #Spark (Apache Spark) #Airflow #Snowflake
Role description
Urgent requirement x7 Snr Data Scientists - Start ASAP!
12 month rolling contracts
Inside IR35
£600-£700 per day
UK, hybrid London (1 day office per week)
I need people who have worked on production ready applied data science products, we are not interested in research heavy backgrounds for this project. Any forecasting / optimization experience is great, particularly in Supply Chain or Logistics domains.
You’ll be comfortable with ambiguity and will want to dive deep and fix problems at scale.
The environment looks a bit like this
Python (pandas, numpy, scipy, PySpark)
SQL
AWS or GCP (BigQuery / RedShift / Snowflake)
Spark / Databricks
Airflow / Dagster
#Jobster
Urgent requirement x7 Snr Data Scientists - Start ASAP!
12 month rolling contracts
Inside IR35
£600-£700 per day
UK, hybrid London (1 day office per week)
I need people who have worked on production ready applied data science products, we are not interested in research heavy backgrounds for this project. Any forecasting / optimization experience is great, particularly in Supply Chain or Logistics domains.
You’ll be comfortable with ambiguity and will want to dive deep and fix problems at scale.
The environment looks a bit like this
Python (pandas, numpy, scipy, PySpark)
SQL
AWS or GCP (BigQuery / RedShift / Snowflake)
Spark / Databricks
Airflow / Dagster
#Jobster
