The primary goal of this role is to design, develop, and deliver innovative data science solutions that address complex business challenges and create measurable value for our clients. The successful candidate will combine expertise in programming, data engineering, statistical modelling, machine learning, and Generative AI to transform data into actionable insights and scalable solutions.

Working closely with clients and internal stakeholders, you will identify opportunities, strengthen strategic relationships, and develop analytical products and prototypes that support data-driven decision making and business growth. You will leverage large and diverse datasets, anticipate challenges, and deliver high-quality solutions that generate tangible impact.

Responsibilities

• Evaluate and acquire new data assets
• Develop new product prototypes
• Provide sales support and consultancy
• Analyze, and document large datasets
• Apply machine learning, data mining, and text mining techniques to extract value from data
• Validate model and score performance
• Document and present modeling processes and outcomes
• Design analytical solutions for internal and external clients to address business problems. Design and deliver scalable analytics and AI solutions for internal and external clients to solve complex business challenges.
• Make independent decisions to develop new approaches and resolve uncertainty in complex scenarios
• Establish best practices for applying Experian and client data to create insights
• Define business assumptions for relevant solutions
• Create materials for knowledge sharing and roundtable discussions
• Lead programs to enhance client analytical solutions, data quality, model performance, and project timelines
• Guide team efforts to identify solutions
• Share expertise and improve departmental contributions
• Provide mentoring within project teams
• Advocate for analytics through publications and presentations
• Proficiency in Python

• Understanding of data structures and their applications in marketing, risk, and customer management
• Familiarity with regression models, XGBoost, neural networks, SVM, and ensemble methods
• 3+ years of experience in defining scope and delivering customized analytics projects

• Expertise in advanced algorithms to solve practical business problems

• Statistics
• Computer Science
• Machine Learning
• AI
• Programming
• Python

• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including food vouchers, health insurance, monthly flex allowance and internet coverage, Sharesave plan, Employee assistance program, and many other benefits!
• Opportunity for Flexible working hours and Home Office.

Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

LI-Hybrid

This is a hybrid remote/in-office role.

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