Gazette • Series 2026 Friday, November 13, 2026 · London & New York Verified Employers
The Transatlantic Chronicle of Executive Opportunities, Compensation & Corporate Governance
Gazette · Ledger · United States · QA Data Scientist
Executive Appointment Mandate ID: EX-1008464728027

QA Data Scientist

People Source Consulting · πŸ‡ΊπŸ‡Έ London, England · βœ“ Certified Corporate Entity
Compensation Bracket Β£55,000 - Β£65,000
Tenure & Discipline Executive Full-Time
Jurisdiction United States
Statutory Visa Pathway US Immigrant / H-1B
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Executive Mandate Specification

QA Data Scientist

Up to Β£65,000 (depending on experience)

London- Hybrid

People Source is currently partnered with a London-based transportation company, looking to onboard a QA Data Scientist to join their new in-house machine learning team.

As a QA data scientist, you will have a unique opportunity to play a critical role in the ML production pipeline. You will be responsible for designing and implementing tests and developing metrics and statistical models for monitoring the performance of live production models.

You will also use generative models to create synthetic datasets for model testing and assess models based on data corruptions, drifts, and out-of-sample detection techniques.

The ideal candidate should have a background in machine learning, mathematical modeling, or statistics and be proficient in Python. Knowledge of cloud tech stack, specifically AWS solutions and Unix environment, is a plus. Experience in working with large-scale datasets and software quality assurance is also a strong advantage.

Requirements:

  • In-depth knowledge and extensive experience in a diverse range of machine learning models, including deep learning and Bayesian modeling.
  • Skilled with out-of-sample modeling methods, uncertainty modeling, and modeling for distributional shifts.
  • Familiarity with generative models.
  • Proficient in using various machine learning libraries, such as TensorFlow, PyTorch, Sklearn, Pandas, Scipy, Numpy, etc.
  • Expertise in Python programming.
  • Proficient in software engineering and testing techniques.
  • Skilled in technical writing.
  • Extensive experience in communicating technical information to both technical and non-technical audiences.

Preferable:

  • Academic qualification in machine learning, mathematical modeling, or statistics. Ph.D. qualification is desirable but not essential.
  • Cloud tech stack knowledge and previous experience with using AWS solutions.
  • Proficient in Unix environment.
  • Previous experience in working with large-scale datasets.
  • Previous experience in software quality assurance is a strong plus but not essential.

If this sounds of interest, please apply using the provided link.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

Statutory Executive Benefits & Governance

  • Executive Health, Vision & Dental Coverage with Global Provider Options
  • Corporate Pension Auto-Enrolment / 401(k) Retirement Plan with Fiduciary Matching
  • Annual Discretionary Performance Incentive & Long-Term Equity Participation
  • Executive Leave Allotment, Statutory Holidays & Dedicated Health Care Reserves
  • US Department of Labor & E-Verify Work Authorization Sponsorship
Verified Corporate Placement