Data scientist Global IT

Fintech Farm Ltd; Greater London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Competitive salary negotiable

Share options

More benefits coming soon

Job summary

Fintech Farm Ltd is looking for a Data Scientist focused on risk modelling in Greater London. You will develop and implement scoring models for assessing customer creditworthiness, collaborate with cross-functional teams and refine model performance. The ideal candidate should have over 3 years of experience in Data Science, strong Python and SQL skills, and a passion for making an impact with data. A competitive salary and share options are offered as part of the role.

Qualifications

• 3+ years in Data Science with hands-on experience building scoring models.
• Deep knowledge of machine learning and statistical modeling techniques.
• Strong SQL skills and experience working with large datasets.

Responsibilities

• Develop and implement application and behavioral risk-scoring models.
• Perform feature engineering to improve predictive power and model performance.
• Monitor and analyze model performance in production and iterate for improvement.

Skills

Python (Pandas, Scikit-learn, TensorFlow, PyTorch)

Machine Learning

Statistical Modeling

Feature Engineering

SQL

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