Data Modeller

Employment Type: Full-time Location Type: On-site Department: Analytics Industry: Financial Services Function: Information Technology Experience Level: Associate Language: English Remote: No

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Company Description

Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decisions and succeed, lenders lend more responsibly, and organisations 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 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, experienced people and new ideas so we can help create a better tomorrow.

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Position Overview

We are looking for a Data Modeller to help us unlock our vast amounts of data with modelling and advanced analytics, allowing 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 support our business teams, pre-sales and analytics to ensure product creation. This role is suited to someone who has 3 to 4 years' experience in the core analytics function of a large bank or consulting firm, with experience handling large data volumes using data analysis tools and generating good data insights.

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Responsibilities

• Deliver high-quality analytical and value-added services for clients while adhering to promised timelines.
• Engage with Business/Technical Consultants and delivery teams to ensure a shared understanding and agreement on proposed solutions.
• Utilize analysis and customer insights to develop value propositions for customers.

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Qualifications

What you'll need to bring to the party:

• 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 experience with statistical modelling/data analysis tools, especially Python, Pyspark, 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 an added advantage.
• Understanding of credit bureaus would be an added advantage.

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Additional Information

Role Location: Mumbai

Benefits package includes:

• Great compensation package.
• Core benefits include Group Mediclaim Insurance, Sharesave scheme, and more!
• 25 days annual leave & 10 sick leaves.
• Car Lease policy.

Experian is an equal opportunities employer. #LI-Onsite

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