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 youll need to bring along (Your prior experience
- )
Understanding of machine learning techniques and algorithms, such as Gradient Boost, KN - N.Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tr
- eeDecent understanding and hands-on of statistical modelling/data analysis tools especially Python and SAS and market tren
- dsApplied statistics skills, such as distributions, statistical testing, regression et
- c.Understanding of decisioning and portfolio management in banking and financial services would be added advanta
- geUnderstanding of credit bureau would be an added advanta
ge
What youll do (Job responsibilities for this ro
- le)
Deliver high quality analytical and value-added services for the clients while following timelines as promised to the cli - ent.Youll 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 solu
- tionYou will use analysis and customer insights to develop value propositions for custo
mersMore about you (Skills we are looking
- for)
We are looking for someone - who:Is a consultative business profess
- ionalIs clear and ce
- rtainExperienced to partner with a sales team managing multiple opportunities concurr
- entlyPassionate and gra
- ciousHigh moral standards, and an ethical approach to doing bus
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- inessAnalytical and ability to see the big-picture and develop conceptual solu
- tionsCandidates that have prior relevant work experience and have experience helping companies
grow
Qualific
- ationsA 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 adv
antage
Interested candidates share their CV to daylene.dias@experian.com w
ith theSubject: Application for a Senior Data
ModelerSkills
Advanced AnalyticsData MiningPythonData AnalysisLinear RegressionLogistic RegressionMachine LearningAnalyticsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Experian is a global leader in consumer and business credit reporting and marketing services, providing data and analytical tools to clients around the world. The company helps businesses to manage credit risk, prevent fraud, target marketing offers, and automate decision-making. Experian also assists individuals in checking their credit report and credit score, and protecting against identity theft.
Careers at Experian offer an opportunity to work in a data-driven environment that emphasizes innovation and ethical use of information. The company is committed to helping people and businesses make informed financial decisions and to creating a better future through the responsible use of data. Employees at Experian are encouraged to develop their skills and grow professionally, supported by a culture that values diversity, inclusion, and continuous learning. Working at Experian means being part of a team dedicated to making a real difference in the financial health of individuals and organizations worldwide.
Important dates & deadlines?
Application Deadline
01 Nov 26, 06:34 PM IST
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