iDigilogic is a dynamic and innovative Information Technology Company with a global presence providing state of the art solutions in the Insurance & Healthcare, technology and Banking industry. We champion the value of inventiveness coupled with a determination and grit to serve the rapidly changing global market.

Established in 2019, our headquarter lies in the IT Capital of India, in Bangalore. We have partnered and extended our services to the world with offices in UAE and KSA

Requirements/qualifications

·        Bachelor’s degree in mathematics, computer science, data science ,applied statistics or a related Field, masters preferred

·        >3 years experience building statistical modelling tools and underlying algorithms optimization/machine learning and data mining models

·        Experience analyzing large complex data sets yielding opportunities for revenue and /or process improvement within an organization

·        Ability to perform solve and identify creative solutions

·        Programming experience (SQL,R,python) required. Databricks experience a plus

·        Understanding of data takes and relational databases

·        Experience in data visualization tools (power BI, Tableau, SAS analytics) a plus

·        Interpersonal skills: Exceptional verbal/written communications, listening and presentation skills with attention to detail

·        Proven track record of achieving desired results without direct report authority

·        Knowledge of Agile/Scrum methodology a plus

Key responsibilities

·        Identify and present predictive drivers/leading indicators, trends, outliers, and Patterns that uncover new insights to help guide enterprise-wide business insights

·        Perform AN & multi-variate testing to measure impact of identified initiatives

·        Build optimization models for scenario testing future business outcomes based on internal and external data.

·        Be able to tell a story using advanced analytics and data visualization techniques while independently exploring useful insights that identify incremental revenue and efficiency opportunities within the financial COE team

·        Derive data driven insights in close partnership with finance ,operations, commercial and data science teams to expose opportunities for revenue and cost optimization with resource allocation