SonicJobs Logo
Left arrow iconBack to search

Lead Data Scientist

Yolk Recruitment Ltd
Posted 8 days ago, valid for 6 days
Location

Cardiff, South Glamorgan CF5 1DR, Wales

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • The role of Lead Data Scientist is available in Cardiff with a hybrid work model requiring two days in the office each week.
  • The salary for this position is approximately £90,000, depending on experience.
  • Candidates should have a minimum of 3 years of experience in data science and proficiency in Python, R, SQL, and cloud platforms such as AWS, GCP, or Azure.
  • The position involves designing forecasting models, engineering data pipelines, and mentoring junior team members within a collaborative environment.
  • This opportunity offers competitive benefits, including profit-sharing, generous holiday allowance, and personal training budgets, making it a valuable career move.

Role - Lead Data Scientist

Location - Cardiff (Hybrid 2 days per week)

Salary - Dependant on experience (Circa £90,000)

Looking for a new challenge in 2025… We're seeking a skilled and enthusiastic Data Scientist to Join an innovative team at the forefront of leveraging data to drive impactful solutions. You'll be key in building advanced models, optimising processes, and developing scalable data systems within a collaborative and agile environment.

What You'll Do

  • Design forecasting models and algorithms to optimise performance.
  • Engineer robust data pipelines to leverage diverse datasets in predictive systems.
  • Refine CI/CD pipelines, Infrastructure as Code (IaC), and test-driven development practices.
  • Collaborate across software development, data engineering, and operational teams for seamless solutions.
  • Provide mentorship to junior team members and foster a culture of collaboration.

What You'll Bring

  • 3+ years of experience in data science, with hands-on expertise in Python, R, SQL, and cloud platforms (AWS, GCP, or Azure).
  • Proficiency in Git version control systems.
  • Knowledge of IaC tools (e.g., Terraform), CI/CD pipelines, and test-driven development is a plus.
  • A degree in a quantitative field is advantageous but not essential.
  • Comfortable in a lead role with proven experience in a similar position

Why You Should Apply

This is more than just a job, it's an opportunity to grow, innovate, and make an impact in a fast-moving sector. In return you'll get the following:

  • Competitive salary + quarterly profit-sharing.
  • Generous holiday allowance
  • Private medical coverage (including dental and vision) and mental health support.
  • Personal training budget and paid conference attendance.
  • Flexibility to work from home with a collaborative in-office culture.

This is your chance to join a team where your ideas, skills, and career growth are truly valued.

Ready to Apply?

Contact Lewis Allen to find out more!

Please apply with a CV and a cover letter outlining why you're perfect for the role. We also have a referral scheme so if you know of someone who would be great for the role please get in touch.

*Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying - then unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.