Job Description

Job description

We are looking for a Sr. Data Modeler to help us unlock our vast amounts of data via effective modelling and advanced analytics, enabling us to make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems and automated scores using machine learning, integrated with our products. You will also be supporting our business teams, pre-sales and analytics to ensure optimal product creation.

Ideally suited to someone who has 5 to 8 years experience core analytics function of a large bank / consulting firm and with experience on handling large data volumes using data analysis tools and generating good data insights.

What you'll need to bring along (Your prior experience & Expertise)

. A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.

. Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree

. Decent understanding and hands-on of statistical modelling/data analysis tools especially Python and/or SAS and market trends

. Applied statistics skills, such as distributions, statistical testing, regression etc.

. Understanding of decisioning and portfolio management in banking and financial services would be added advantage

. Understanding of credit bureau would be an added advantage

What you'll be doing (Job responsibilities for this role)

. Delivering high quality analytical and value-added services for the clients while adhering to timelines as promised to the client.

. You'll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution

. You will have the opportunity to Use analysis and customer insights to develop value propositions for customers

More about you (Skills we are looking for)

. We are looking for someone who:

. Is a consultative business professional

. Is confident, clear, certain and consistent

. Is able to work alongside a sales team managing multiple opportunities concurrently

. Passionate, resourceful, gracious and adaptable

. High moral standards, honesty and an ethical approach to doing business

. Strong analytical, problem-solving skills and ability to see the big-picture & develop conceptual solutions

. Candidates that have prior relevant work experience, excel in ambiguous situations, and possess a passion for helping companies become more competitive

. Business acumen combined with a comfort with technology is a must

Qualifications

Qualifications

. A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc. . Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree . Decent understanding and hands-on of statistical modelling/data analysis tools especially Python and/or SAS and market trends . Applied statistics skills, such as distributions, statistical testing, regression etc. . Understanding of decisioning and portfolio management in banking and financial services would be added advantage . Understanding of credit bureau would be an added advantage

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 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 an important 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.

Experian Careers - Creating a better tomorrow together

Senior Data Modeler