Data Analyst

Gloo; Greater London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

Join a fast-scaling AI and data analytics company recognized for its innovative culture and global growth. As a Data Analyst, you'll ensure the quality and performance of high-scale data systems and machine learning models, collaborating with cross-functional teams to drive standards in data quality assurance. This role offers the chance to make a real-world impact, contributing to significant revenue growth for clients. With a hybrid working model, generous holiday, and enhanced benefits, this is a fantastic opportunity for data professionals looking to thrive in a collaborative and dynamic environment.

Benefits

26 days holiday

Enhanced parental benefits

Mental health support

Income protection

Life assurance

Pension scheme

Cycle to work scheme

Breakfast in office

Social events

Training budgets

Qualifications

• Experience in Data QA, Data Analyst or ML Ops role in a tech-led environment.
• Strong skills in SQL and Python with exposure to ML frameworks.

Responsibilities

• Ensure quality, accuracy, and performance of data systems and ML models.
• Collaborate with teams to drive data QA standards and support ML deployments.

Skills

Data Quality Assurance

SQL

Python

Machine Learning

Data Analysis

Problem Solving

Communication Skills

Education

Bachelor's Degree in Data Science or related field

Relevant certifications in Data Analytics

Tools

TensorFlow

Scikit-learn

Job description

4 days ago Be among the first 25 applicants

This range is provided by Gloo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

London | Hybrid | High-Growth AI Scale-Up

We’re working with a fast-scaling AI and data analytics business that has been recognised two years running in the Financial Times FT1000 Fastest Growing Companies in Europe. With international operations and a client list featuring household names across telecoms, financial services, retail, and media, this organisation is driving real commercial value through deep behavioural analytics and privacy-first customer intelligence.

As the team continues to grow, they are now looking to hire a Data Analyst with a focus on data quality assurance, machine learning model validation, and pipeline monitoring.

Why This Opportunity Stands Out:

• Award-winning culture – recognised as AI Company of the Year 2024 and twice as Best Tech Employer at the Women in Tech Awards.
• Global growth trajectory – active across London, New York, Barcelona, Lisbon, and Tel Aviv with over 100 team members and scaling.
• Real-world impact – their technology has delivered tens of millions in additional revenue for clients.

The Role:

As a Data Analyst, you’ll play a pivotal role in ensuring the quality, accuracy, and performance of high-scale data systems and machine learning models. You’ll collaborate with data science and engineering teams to drive standards in data QA, support robust ML deployments, and ensure smooth data pipeline operations.

Responsibilities:

• Data Quality Assurance
• Design and implement QA frameworks for data validation
• Automate testing processes across data stores and pipelines
• Collaborate with data science teams on model QA and performance validation
• Monitor models across pre-production and production environments
• Exploratory Data Analysis
• Identify patterns and insights through hands-on data exploration
• Support business decision-making with actionable analysis
• Ensure smooth operation and integrity of data flows
• Resolve performance issues and minimise disruptions

Ideal Candidate:

• Proven experience in a Data QA, Data Analyst or ML Ops role, ideally in a tech-led or data-heavy environment
• Strong technical skills: SQL, Python (or R), with exposure to modern ML frameworks (e.g., TensorFlow, Scikit-learn)
• Experience working with large-scale datasets and complex data models
• Comfortable working cross-functionally with data science, engineering and business stakeholders
• Excellent problem-solving and communication skills

What’s on Offer:

• Hybrid working (2–3 days in London office)
• 26 days holiday (rising with service)
• Enhanced parental benefits & mental health support (Oliva platform)
• Income protection, life assurance & pension scheme
• Cycle to work, breakfast in office, social events, training budgets

This is an opportunity to join a forward-thinking, purpose-driven company at the cutting edge of AI and customer analytics. If you’re a data professional who thrives in a collaborative, fast-paced environment, we’d love to hear from you.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Data Infrastructure and Analytics and Software Development

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