My Client is a tier 1 bank looking to expand their data function. Based in Manchester or London Working in multidisciplinary team, you'll often start by looking at a business problem statement and then start experimenting with different modelling approaches to developing industrialised applications powered by Machine Learning. Experience required and Common tasks you'll focus on could include;* Contributing towards potential solutions to a range of business problems using Data Science.* Developing experimental models and machine learning applications in Python alongside our ML Data Engineers (who build the data pipelines and ensure quality).* Deliver production Machine Learning models which can support a broad range of bank wide initiatives.* A strong commercially applied knowledge of Statistical Modelling and/or Machine Learning techniques is required such as: regression, clustering, attribution (econometrics / MMM), decision trees and gradient boosting machines (random forest, XGBoost, LGBM) and significance testing.* An intermediate to high level of skill programming using Python is required including how to write modular Pythonic code, familiarity with the core Python data structures and fluency with pandas, scikit-learn, matplotlib. What you'd get in return: Offering hybrid working patterns, my client believes that a healthy work/ life balance is important hence they offer 2/3 days flexible working. * A salary range between £80k - £85k* Discretionary annual group performance bonus* Generous pension contribution of up to 15%* A 4% flex cash pot to spend on lifestyle benefits (or take as cash)* 30 days holiday plus bank holidays Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.