Senior Data Scientist
Experian
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What scientist roles keep asking for: Python (55%), Machine learning (44%), SQL (26%), C++ (19%), Java (17%), Deep learning (17%), R (16%), LLMs (16%) — counted across their open postings here.
Remote Data Scientist jobs · Generative AI jobs · Machine learning jobs · Python jobs
Experian has 400 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Experian.
Questions you are likely to be asked
- Why do you want to join Experian?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Senior Data Scientist at Experian interview free →We are seeking a Senior Data Scientist to play a pivotal role in our growing EMAP Data Science team. This position is ideal for an accomplished professional passionate about advanced analytics, innovation, and delivering impactful solutions to clients. Role Purpose 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 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 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. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here
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Listed on smartrecruiters · posted 2026-10-01. ApplySarthi collects openings and links to application pages; the role is advertised by Experian, not by us.