About this role
Job description
We are looking for a Sr. Data Modeler to help us unlock our vast amounts of data with effective modelling and advanced analytics, helping us 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 support 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)
Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN.Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision TreeDecent understanding and hands-on of statistical modelling/data analysis tools especially Python and SAS and market trendsApplied statistics skills, such as distributions, statistical testing, regression etc.Understanding of decisioning and portfolio management in banking and financial services would be added advantageUnderstanding of credit bureau would be an added advantage
What you'll do (Job responsibilities for this role)
Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client.You'll play an important role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solutionYou will use analysis and customer insights to develop value propositions for customersMore about you (Skills we are looking for)
We are looking for someone who:Is a consultative business professionalIs clear and certainExperienced to partner with a sales team managing multiple opportunities concurrentlyPassionate and graciousHigh moral standards, and an ethical approach to doing businessAnalytical and ability to see the big-picture and develop conceptual solutionsCandidates that have prior relevant work experience and have experience helping companies grow 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
Great compensation package and discretionary bonus planCore benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more!25 days annual leave with 13 bank holidays and 3 volunteering days. You can also purchase additional annual leave.You will report to Senior Analytics Consultant.Role Location: MumbaiExperian is an equal opportunities employer 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.
Experience using a CRM software system.
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.
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