Data scientist Global IT

Fintech Farm
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Data Analysis Big Data Database Queries Python (Programming Language) Machine Learning Tensorflow Feature Engineering Pytorch Model Validation Pandas Scikit Learn

Job description

Your Role

As a Data Scientist focused on risk modelling, you will be responsible for building, improving and monitoring scoring models used to assess customer creditworthiness across our markets. You’ll work closely with business, analytics and engineering teams to translate data into critical decisions.

What You Will Be Doing

  • Develop and implement application and behavioral risk-scoring models
  • Perform feature engineering to improve predictive power and model performance
  • Analyze data to identify trends and opportunities to improve scoring logic
  • Collaborate with developers and business analysts to integrate models into production systems
  • Monitor and analyze model performance in production and iterate for improvement

Who You Are

  • Independent and proactive - you take ownership of problems and drive solutions
  • Analytical thinker - you enjoy working with complex data and turning it into actionable insight
  • Effective communicator - you can clearly explain models and outcomes to non-technical stakeholders
  • Curious and impact-driven - you want your models to make a real difference

Your Experience

  • 3+ years in Data Science with hands-on experience building scoring models
  • Deep knowledge of machine learning and statistical modeling techniques
  • Strong Python skills (Pandas, Scikit-learn, TensorFlow, PyTorch)
  • Proficiency in feature engineering and model selection
  • Strong SQL skills and experience working with large datasets
  • Experience communicating with cross-functional teams including non-technical partners

What We Are Offering

  • Competitive salary is negotiable depending on the candidate’s level
  • Share options
  • We are still a start-up and more benefits are on the way

Requirements

  • Independent and proactive - you take ownership of problems and drive solutions
  • Analytical thinker - you enjoy working with complex data and turning it into actionable insight
  • Effective communicator - you can clearly explain models and outcomes to non-technical stakeholders
  • Curious and impact-driven - you want your models to make a real difference, * 3+ years in Data Science with hands-on experience building scoring models
  • Deep knowledge of machine learning and statistical modeling techniques
  • Strong Python skills (Pandas, Scikit-learn, TensorFlow, PyTorch)
  • Proficiency in feature engineering and model selection
  • Strong SQL skills and experience working with large datasets
  • Experience communicating with cross-functional teams including non-technical partners

Benefits & conditions

  • Competitive salary is negotiable depending on the candidate’s level
  • Share options
  • We are still a start-up and more benefits are on the way

Apply for this position

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Prepare application

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