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 DescriptionAs a Consultant, you will report to the Data Modeler Manager and work with our clients to solve complex business problems through analytics.
You'll design and deliver end-to-end analytical solutions, from understanding our client's challenge to implementing practical, business-focused recommendations. You'll combine technical expertise with commercial thinking to ensure our solutions are scalable, and deliver measurable value.
As one of our senior analytical experts, you'll provide technical leadership, guide project teams, mentor colleagues, and help shape the way we deliver analytics across the business.
What you will do
- Lead the design and delivery of analytical and data-driven solutions for our clients.
- Work with clients and stakeholders to understand business challenges, define requirements, and translate them into analytical approaches.
- Provide technical leadership across predictive modelling, scorecard development, machine learning, and advanced analytics throughout the model lifecycle.
- Define solution approaches, considering analytical methods, data, technology, implementation effort, and business value.
- Lead client discussions, workshops, and presentations, communicating recommendations, risks, and trade-offs to both technical and non-technical audiences.
- Mentor and support Analysts and Senior Analysts, helping develop their technical capabilities and providing guidance throughout project delivery.
What you will bring
- A degree in Mathematics, Statistics, Computer Science, Economics, Data Science, or another quantitative discipline.
- Experience developing predictive models, credit risk scorecards, and analytical solutions within financial services or a consulting environment.
- Programming skills in Python, SQL, and SAS, with experience using libraries such as Pandas, NumPy, scikit-learn, XGBoost, or LightGBM.
- An understanding of statistical modelling, machine learning, model monitoring, validation, and model governance.
- 1+ years of experience designing scalable analytical solutions and applying automation or GenAI to improve analytical processes.
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.
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, 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.
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
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Skills Required
- Degree in Mathematics, Statistics, Computer Science, Economics, Data Science, or another quantitative discipline
- Experience developing predictive models, credit risk scorecards, and analytical solutions within financial services or consulting
- Programming skills in Python, SQL, and SAS
- Experience with libraries such as Pandas, NumPy, scikit-learn, XGBoost, or LightGBM
- Understanding of statistical modelling, machine learning, model monitoring, validation, and model governance
- 1+ years designing scalable analytical solutions and applying automation or GenAI to improve analytical processes
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
