Senior Data Modeler at Experian

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

10 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Analysis, Statistical Modelling, Python, SAS, Statistical Testing, Regression, Decision Tree, Linear Regression, Logistic Regression, Data Mining, Predictive Modelling, Portfolio Management, Credit Bureau, Consultative Skills, Analytical Skills

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description 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 Tree Decent understanding and hands-on of statistical modelling/data analysis tools especially Python and 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 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 solution You will 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 clear and certain Experienced to partner with a sales team managing multiple opportunities concurrently Passionate and gracious High moral standards, and an ethical approach to doing business Analytical and ability to see the big-picture and develop conceptual solutions Candidates that have prior relevant work experience and have experience helping companies grow 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 Great compensation package and discretionary bonus plan Core 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: Mumbai Experian is an equal opportunities employer 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. 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. #LI-Onsite Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time

Responsibilities

Deliver high-quality analytical and value-added services for clients while adhering to timelines. Engage with business and technical teams to ensure a shared understanding of proposed solutions.