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Junior Data Scientist London SaaS Data Platform

Avanti
Posted 9 days ago, valid for 5 days
Location

London, Greater London EC1R 0WX

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

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  • Avanti Recruitment is seeking a Junior Data Scientist for a SaaS Data Platform in London, focusing on transforming enterprise data into actionable insights for various industries.
  • The role requires 1-2 years of experience in Data Science or a PhD in a relevant field, along with strong Python skills and cloud computing experience, primarily in Azure.
  • Responsibilities include building and refining AI/ML models, collaborating with teams on scalable solutions, and deploying models on major cloud platforms like AWS, Azure, and GCP.
  • The target salary for this position is £45,000, with a range of £40,000 to £50,000, and it offers opportunities for career advancement and mentorship from senior experts.
  • This is a permanent position located in Central London with hybrid working options, and they do not sponsor visas for applicants.

Junior Data Scientist | London | SaaS Data Platform

Avanti Recruitment is working with a growing software house who make a SaaS based Data platform for customers to help them Enterprise businesses transform their data into actionable insights. Working with household names in Finance, Retail, Travel, Telco, and Healthcare, they turn Enterprise data into competitive advantage.

About the role:

  • Build and refine Data Science/ AI/ML models that solve genuine commercial challenges
  • Work across predictive analytics, personalization, and decision-making tools
  • Deploy models on major cloud platforms (AWS, Azure, GCP)
  • Collaborate with AI Engineers and Product Teams on scalable solutions
  • Help increase business value through AI implementation, particularly in the private equity space

About the company:

  • You will be joining a team of 5 and they are looking to expand with multiple new hires
  • Their software is deployed with clients in the UK, Germany, France, and Ireland

What they're looking for:

  • 1-2 years experience in Data Science(perfect for second-jobbers) / PhD graduate in a relevant field
  • First-class STEM degree from a prestigious university
  • Strong Python skills (Pandas, NumPy, Scikit-Learn)
  • Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs).
  • SQL knowledge and database experience (SQL assessment is part of the interview process)
  • Problem-solving mindset and good communication skills
  • Experience optimizing code for large-scale, high-volume datasets

Why join them?

  • Work on Data Science and AI challenges that actually matter
  • Fast-track your career with mentorship from senior experts
  • Gain valuable experience across multiple industries and cloud platforms (Azure, AWS, GCP, Databricks)
  • Competitive salary with genuine development opportunities

Currently serving clients in four countries with two live products and two cutting-edge AI solutions in development. This is your chance to apply machine learning at scale while building solutions that shape the future of data-driven decision-making.

Target Salary: £45,000 (considering applications in the range of £40,000 - £50,000)

Location: Central London - hybrid working

Duration: Permanent

N.B. They don’t sponsor visas and won’t consider those on short term visas.

APPLY NOW FOR IMMEDIATE CONSIDERATION.

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.