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Lead Data Scientist

ADLIB

Bristol

Hybrid

GBP 40,000 - 60,000

30+ days ago

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Job summary

An established financial services business is seeking a Lead Data Scientist to join their friendly and growing Data Science team. This role offers the opportunity to work on a diverse range of end-to-end machine learning projects, including classical ML and Gen AI. You will lead projects, mentor junior staff, and collaborate with various business units to deliver real value. With a flexible work policy, competitive salary, and excellent benefits, this position is perfect for someone looking to elevate their career in a supportive environment. Join a team where your expertise can shine and make a significant impact!

Benefits

Flexible Work Policy

Competitive Bonus Scheme

Flexible Benefits Package

25 Days Holiday + Bank Holidays

Excellent Pension Scheme

Private Health Insurance

Gym Benefits

Qualifications

  • Degree in a data-focused field like Computer Science or Statistics.
  • Proven expertise in leading projects developing ML models.

Responsibilities

  • Lead projects on data science & ML providing business value.
  • Collaborate with stakeholders to solve challenges using data.

Skills

Python Development

Machine Learning

Data Science

Cloud Platforms (AWS, Azure, GCP)

Communication Skills

Education

Degree in Computer Science

Degree in Statistics

Degree in Data Science

Tools

AWS

Azure

GCP

Job description

Lead 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 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.

What you’ll be doing

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. This is a Lead role, so looking for someone who has coached, developed and mentored junior staff. It will be up to the successful candidate if they want to develop this role into a formal line management role or not. They’re open to both.

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 on leading projects 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

The compensation for this role ranges from £80,000 - £90,000 (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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