Applies expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-gen advanced analytics use cases
Collaborates with translators to define technical problem statement and hypothesis to test
Regularly test and maintain analytical models that mimic business decisions to improve efficiency and keep up with changing business needs Responsibilities
Designs, creates, tests and implements complex models and algorithms that drive analytical solutions throughout the organization
Collaborates with translators and understands business problems to implement scalable and sustainable solutions
Coordinates with MIS, Digital Specialists and Data Engineers to deliver holistic analytical solutions
Supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
Ensures timely analysis and testing for regular maintenance of solutions over time
Bachelor's degree in Engineering (Computer Science or Electronics), or Master’s degree in Computer Applications, Economics, Statistics or Mathematics or related technical discipline
3-5 years experience in a statistical and/or data science/ business intelligence role
Have experience in machine learning, statistics, optimization or related field
Have experience with programming, such R or Python is a plus
Have experience of working with large data sets, simulation/ optimization and distributed computing tools such Map/Reduce, Hadoop. Hive, Spark, etc.
You will be reporting to the Head of Internal Audit and you will be responsible for the planning, developing, executing and review of audit assignments.