Data Scientist Leading Financial Services Business

Join a growing and friendly Data Science team
Work across multiple business units on end to end ML projects
Wide variety of project experience to be gained including Gen AI

Excellent opportunity to join an established and growing data science department at a leading financial services business. The department operate a bit like an internal consultancy and rotate between different departments, supporting the end to end development of machine learning & data science products for the business. You’ll work on a wide variety of projects from classical machine learning through to Gen AI. This is a fixed term contract for 12 months with potential to turn into a permanent role. What you’ll be doingYou’ll work as part of a team of Data Scientists on a range of data science & ML projects providing real business value for your stakeholders. Whether it’s finance, pricing, marketing, customer services and more, you’ll get to know your business stakeholders and help solve challenges with data science & ML techniques. The business have a very established data science & ML offering across their global operation and you’ll get to tap into some real experts to help develop your skills and career. What experience you’ll need to apply

A degree in a data-focused field like Computer Science, Statistics, or Data Science or a solid STEM background.
Excellent Python development skills.
Experience working in a financial services business or other enterprise size business is a preference.
Proven expertise in developing and deploying end-to-end Machine Learning models for business challenges.
A broad understanding across classical ML, deep learning & Gen AI
Cloud experience with AWS, Azure, or GCP.
Effective communication skills for seamless collaboration across diverse technical levels.

What you’ll get in return for your experienceThe compensation for this role ranges from £50,000 - £65,000 (dependent on experience), along with a host of fantastic benefits. These include a flexible work policy allowing a split between office and home, a competitive bonus scheme, a flexible benefits package, 25 days holiday + bank holidays, an excellent pension scheme, private health insurance, gym benefits and more. What’s next?Ready to elevate your career? Apply for this role, and Alex will reach out if your application is successful to discuss the role and your experience.

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