Associate Consultant – Data Science

1 month ago


Bengaluru, India Trinity Life Sciences Full time

Job Objective: To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes.

Designation: Associate Consultant
Job Location: Bangalore/Chennai
Type of employment: Permanent
Roles & Responsibilities:

Conduct simple and advanced data analysis to help clients make good business decisions Work with project leadership to define project scope and manage end to end implementation Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems. Develop new statistical models as well as provide analysis using existing models. Maintain the highest standards to follow the best practices and trending analytics in pharma domain Work with internal business teams to understand problem statement, requirements and use cases Excellent Problem Solving & Quantitative skills, Hands on experience on Python/R/SAS Experience in tools like Pyspark, SQl, Big Query Ability to create a model & simulation tool from scratch Should be comfortable interacting and managing stakeholders both external and internal Should be good in project management and ensuring timelines and quality is met

Requirements:

Masters in Statistics, Marketing, Finance, Operations research, Engineering, or equivalent full-time education 4+ years of work experience on analytic work (use of advanced modelling projects and tools such as R, Python etc.). Knowledge of promotional channels and digital analytics. Should be inquisitive and have a learning mindset Willingness and ability to experiment with new tools and techniques  Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings Familiarity with the application of analytics to sales, marketing, or managed markets problems Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment Should have sound experience in data mining and data analysis Strong conceptual & working knowledge of Statistical models Ability to maintain personal composure and tactfully handle difficult situations

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