Ready to make a difference? Experian has evolved into a global tech company and leader in data and analytics. We’re passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. We’re a constituent of the FTSE 30 and for more than 125 years we’ve helped economies and communities flourish – and we’re not done. Discover the Unexpected – Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We’re investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow. To do this we employ ‘big-thinkers’ and ‘can-doers’ that share our purpose #uniquelyexperian Job Description The ESS Data Science Team supports Experian’s global business. We support analytic and generative AI products for decisioning, analytics, and Fraud and ID. We accelerate the adoption of Experian products, demo new innovative solutions to clients, and provide clients a clear understanding on how the products are deployed on our platform. This role will be focused on client interaction with a heavy concentration in Data Science and Experian GPT and be regarded as an analytic thought leader for Experian products. You will have a deep understanding of credit risk management, data science and regulatory requirements within the financial services industry. Key Responsibilities: Gather the customer’s voice from top-tier financial institutions to guide new product development, feature prioritization, and product evolution of tools and capabilities supported by the Ascend Platform. Lead teams in a collaborative effort involving Engineering and data science experts in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications on a true big data platform. Partner with Business Unit Leaders, Sales Engineers, Account Executives, and Product Managers to bring new innovative solutions to market that provide a significant impact on Experian’s broad customer base. Keep informed about regulatory changes and technological advancements to ensure the technology stack meets all compliance requirements. Research and integrate new data assets from disparate resources into Experian’s ML and AI platform. Assess analytic tools developed internally and externally for their fit and value add to Experian’s cleints to solve business problems and capture opportunities. Act as a key liaison between regional product management and technical analytics and engineering teams. Identify and secure additional opportunities with clients. Qualifications 12+ years’ experience in credit risk management at a large US financial institution Master’s degree or PhD, preferably in Statistics, Mathematics, Computer science or related field Strong knowledge of statistical analysis software/data analysis experience including data manipulation; preferably Python and R Understanding of data analysis and analytical techniques and methodologies. Excellent communication skills (oral, written, and presentation skills). A proven track record for leading project teams, managing complex analytical projects, and setting decision strategies and policies. Excellent leadership, interpersonal, and project management skills The ability to present to all levels of management within Experian and to our clients. A willingness to travel. Additional Information Our uniqueness is that we truly celebrate yours. Experian’s culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian’s strong people first approach is award winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian’s DNA and practices, and our diverse workforce drives our success. 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. #J-18808-Ljbffr
Communication Data Analyst mathematics statistics Artificial intelligence (AI) Data Science data-management Python Machine Learning Computer Science R Project management