Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

We're looking for an Associate Machine Learning Consultant to join our EMEA Open Banking Team. This team supports the rollout of Trusso, our modern machine learning-based transaction categorization engine, across the EMEA region.

You will combine analytics consulting, machine learning support, and hands-on data analysis. You will contribute to client projects, support the continuous improvement of our machine learning solutions, and perform analytical investigations to help optimize product performance and deliver value to our clients. You will report to the Trusso Product Lead.

What you'll do:

• Support the development and optimization of Trusso and related products through analytical investigations and model performance analysis.
• Analyse transactional datasets to identify trends, categorization opportunities, data quality issues, and recommendations for model improvement.
• Monitor, validate, and improve machine learning models through testing and analysis of model outputs.
• Develop analytical scripts and tools using Python and related libraries to support data-driven decision-making.
• Provide analytical and product insights to clients and partners, recommending solutions to business challenges.
• Develop analytical solutions using statistical and machine learning techniques.
• Collaborate with data scientists, engineers, product teams, and pre-sales teams to deliver successful outcomes and support business opportunities.
• Contribute to product development initiatives and new product enhancements.
• Support ad-hoc analytical investigations, client enquiries, and machine learning-related projects.

Qualifications

What you'll bring:

• 3–5 years of experience in analytics, data science, risk analytics, or a related field, including 1–3 years of consulting or client-facing experience.
• Experience using Python for data analysis, including Pandas and related analytical libraries.
• Understanding of machine learning concepts and practical experience applying analytical techniques to solve business problems.
• Knowledge or experience of credit risk analytics, financial services, banking, or transactional data analytics would be advantageous.

Additional Information

What you will get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, dental coverage, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

#LI-Hybrid

This is a hybrid remote/in-office role.

Experian Careers - Creating a better tomorrow together

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