GIOS Technology
Data Scientist – Payments & Financial Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist – Payments & Financial Analytics, offering a hybrid contract in Northampton for 2-3 days per week. Key requirements include experience in payments or fintech, proficiency in Python, R, SQL, and cloud platforms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 18, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Northampton, England, United Kingdom
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🧠 - Skills detailed
#Programming #Azure #Python #Libraries #ML (Machine Learning) #Spark (Apache Spark) #Cloud #Pandas #Data Science #Databricks #SQL (Structured Query Language) #Big Data #GCP (Google Cloud Platform) #R #AWS (Amazon Web Services) #Visualization #TensorFlow
Role description
I am hiring for Data Scientist – Payments & Financial Analytics
Location: Northampton - Hybrid / 2-3 days Per week in Office
• Proven experience as a Data Scientist within payments, fintech, or enterprise analytics environments.
• Proficiency in Python, R, SQL, and modern data science libraries (e.g., scikit-learn, pandas, TensorFlow).
• Experience with cloud platforms such as AWS, Azure, or GCP, and big data tools like Spark or Databricks.
• Strong foundation in statistical modelling, machine learning, and data visualization techniques.
• Excellent problem-solving, communication, and stakeholder engagement skills.
Key Skills: Data Scientist / Payments / Fintech / Python / R Programming / SQL / Cloud / AWS
I am hiring for Data Scientist – Payments & Financial Analytics
Location: Northampton - Hybrid / 2-3 days Per week in Office
• Proven experience as a Data Scientist within payments, fintech, or enterprise analytics environments.
• Proficiency in Python, R, SQL, and modern data science libraries (e.g., scikit-learn, pandas, TensorFlow).
• Experience with cloud platforms such as AWS, Azure, or GCP, and big data tools like Spark or Databricks.
• Strong foundation in statistical modelling, machine learning, and data visualization techniques.
• Excellent problem-solving, communication, and stakeholder engagement skills.
Key Skills: Data Scientist / Payments / Fintech / Python / R Programming / SQL / Cloud / AWS
