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Stanton House

Data Scientist

Stanton House
United Kingdom · Full-time · Mid-Senior

Data Scientist – Data Modelling

6 Month Interim Role – which could transition to a permanent position

£700 - £800 per day + Excellent Benefits

Remote first, can be based anywhere in the UK with occasional visits to their Manchester Offices


Are you ready to lead the way in data-driven decision-making? I am working with an exciting FinTech organisation, they are using cutting-edge technology to deliver ethical, efficient, and data-driven solutions. They are on a mission to redefine industry standards while positively impacting individuals’ financial well-being.

They are looking for a talented Data Scientist to join their team and help create innovative forecasting models that drive real impact.


The Role:

As a Data and Decision Scientist, you’ll use your expertise to unlock insights from large datasets and develop advanced models to support decision-making. Specifically, you’ll:

  • Create complex Data models to generate insights from complex probability distributions.
  • Develop forecasting models incorporating numerous variables to assess propensity to pay and expected liquidation based on historic trends.
  • Build and implement scorecards, decision engines, or advanced models in the financial services sector.
  • Work with algorithms such as XGBoost and Random Forest to deliver exceptional results.


We’re looking for someone with:

  • Proven track record in data modelling, particularly within the financial services sector.
  • Strong knowledge of Python and experience with decision science algorithms.
  • A degree (minimum) in Engineering, Statistics, or Mathematics. A Master’s or PhD is highly desirable.
  • Hands-on experience building scorecards, decision engines, or statistical models.
  • A passion for solving complex problems and delivering impactful insights.


What They Offer:

  • Up to 20% annual bonus.
  • 25 days + bank holidays, with the option to buy or sell 5 days.
  • Employers match up to 5%, with NI savings for employees.
  • Hybrid working (3 days in the office or 2 days if further afield).


Perks:

  • Free fruit, food, and even an on-site barista and beer pump (2–5 PM).
  • Electric car scheme and cycle-to-work scheme.
  • Access to on-site counselling and wellbeing support.


Apply now and take the lead in driving data-driven decisions that make a real difference!

Key Skills

Ranked by relevance

python
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Posted
Jan 29, 2025
Type
Full-time
Level
Mid-Senior
Location
United Kingdom

Industries

Financial Services

Categories

Design Other

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