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Job Category: Information Technology

Job Source: NRBjobs.com

Job Summary

195
  • No. of Vacancy: N/A
  • Job Location: Bengaluru
  • Employment Type: Full Time
  • Salary: Not Disclosed by Recruiter
  • Gender: Any
  • Age Limit: N/A
  • Experience: N/A
  • Career level: Associate
  • Posted On: Jul 3, 2018
  • Application Deadline: Aug 3, 2018

Job Description/Responsibility

Develops and implements predictive models using statistics/machine learning techniques for solving different business problems
Helps the team understand the business outcomes to be achieved and ensures the solution approach is aligned to the same
Identifies data driven insights and actionable recommendations to influence business decisions by effectively communicating modeling concepts and results across functional groups
Develops analytic story and visual presentation strategies to ensure data is conveyed in meaningful and interpretive formats for all audience levels.
Analyzes structured and unstructured data from a number of sources to identify drivers
Reviews results, identifies variances to planned performance, analyzes causes of variance and make actionable recommendations to frontline leaders
Performs and evaluates trend analysis using basic mathematical concepts, formulas, models, techniques
Advances the research in the areas of machine learning/predictive modeling within the department and applies analytical solutions thus built to improve on project delivery
Coaches, mentors and influences the team under him/her to accomplish marketing analytics goals/deliverables

Experience Requirements

  •  4 - 6 yrs
  • Experience with leading/mentoring a team in the areas of technology as well as problem solving is a plus
  • Experience with descriptive statistics and exploratory data analysis
  • Experience with inferential and predictive statistics (hypothesis testing, confidence intervals, regression, time series, decision trees, clustering and classification, text mining)

Education Requirements

  • Bachelors or Masters/MBA degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research or related field) and 4-6 years of related experience
  • UG: B.Tech/B.E. - Computers, B.Sc - Computers, Maths, Statistics

    PG:MBA/PGDM - Any Specialization, M.Tech - Computers, MS/M.Sc(Science) - Computers, Maths, Statistics

Skills Requirements

Proficiency in open data science tool kits, like R, Python is a must
Experience using data management and data visualization software (Business Objects, Tableau, SQL)
Experience with relational databases and data warehouses (Oracle, Teradata, Unix)
Experience analyzing third party and syndicated data for benchmarking
Experience with Microsoft Office Suite (Excel, PowerPoint)
Strong oral communication, administrative and business writing skills
Advanced time management skills including ability to handle multiple projects, prioritize and organize
Experience Telematics, Cognitive Computing, Deep Learning, NLP, Image Analytics will be strongly preferred
Experience in solving problems across function like Claims, Pricing, Customer Analytics or Life, P&C LoBs will be preferred
Proficiency in distributed computing tools like MapReduce/ MPI (Cosmos/ Hadoop/ Spark/ Hive etc) is a plus
Exposure to Big Data Ecosystem (HADOOP, PIG, HIVE, PYTHON, SPARK etc) would be a plus

Compensation/Benefits

N/A

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