Senior Recruitment Consultant - Insight & Analytics at ADLIB - B Corp Certified - Ambassador at MotherBoard
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 but growing data science department at a leading financial services business. What you’ll be doing In this role, you’ll lead on projects 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 has 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. The department operates a bit like an internal consultancy and rotates 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 role requires 2 days a week in the office; the rest can be worked remotely, but we do require a candidate within a commutable distance or living locally. What experience you’ll need to apply 3+ years hands-on Data Science experience A degree in a data-focused field like Computer Science, Statistics, or Data Science or a solid STEM background. Experience working in a financial services business or other enterprise-sized business is preferred. 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 experience Depending on experience, they’re offering up to £65,000 per annum, alongside great benefits including a flexible work policy allowing a split between office and home, a competitive bonus scheme, a flexible benefits package, 25 days holiday (plus bank holidays), an excellent pension scheme, private health insurance, gym benefits and more. What’s next? Ready for your next step? Apply for this role, and Tegan will reach out if your application is successful to discuss the role and your experience. Seniority level
Mid-Senior level Employment type
Full-time Job function
Analyst, Consulting, and Information Technology Industries
Insurance, Financial Services, and IT Services and IT Consulting
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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 but growing data science department at a leading financial services business. What you’ll be doing In this role, you’ll lead on projects 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 has 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. The department operates a bit like an internal consultancy and rotates 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 role requires 2 days a week in the office; the rest can be worked remotely, but we do require a candidate within a commutable distance or living locally. What experience you’ll need to apply 3+ years hands-on Data Science experience A degree in a data-focused field like Computer Science, Statistics, or Data Science or a solid STEM background. Experience working in a financial services business or other enterprise-sized business is preferred. 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 experience Depending on experience, they’re offering up to £65,000 per annum, alongside great benefits including a flexible work policy allowing a split between office and home, a competitive bonus scheme, a flexible benefits package, 25 days holiday (plus bank holidays), an excellent pension scheme, private health insurance, gym benefits and more. What’s next? Ready for your next step? Apply for this role, and Tegan will reach out if your application is successful to discuss the role and your experience. Seniority level
Mid-Senior level Employment type
Full-time Job function
Analyst, Consulting, and Information Technology Industries
Insurance, Financial Services, and IT Services and IT Consulting
#J-18808-Ljbffr
