Associate Data Scientist

Trinity; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Trinity in Bengaluru seeks an analytics professional to design, develop, and deploy predictive models for marketing analytics in life sciences. You will collaborate with internal teams to translate business problems into analytical solutions across channels and products.

The role requires 2–3 years of hands-on modelling experience using R and Python, strong communication, and the ability to work in a high-pressure client service environment. Data mining and advanced analytics are key components.

Qualifications

• Masters in Statistics, Marketing, Finance, or Operations Research.
• 2–3 years of analytic work with advanced modelling using R or Python.
• Strong analytical and communication skills; ability to apply analytics to sales/marketing problems.
• Ability to work in a proactive, high-pressure, client service environment.
• Experience in data mining and data analysis.

Responsibilities

• Understand problem statements and requirements with internal business teams.
• Work on marketing effectiveness, sales engagement, next best action, demand planning, customer segmentation, test & control analysis.
• Conduct data analysis to help clients make informed business decisions.
• Apply statistical, econometric, optimization models to real-world business problems.
• Explore emerging models and work with unstructured data like text/images.
• Maintain best practices in pharma analytics and define project scope with leadership.

Skills

Analytical thinking

Communication skills

Data mining

Problem solving

Education

Master's degree in Statistics/Marketing/Finance/Operations Research

Tools

R

Python

Job description

Job Objective

Design, Develop, Deploy and Maintain - Predictive models based on Business Case. Handle end to end projects in Marketing Analytics for Life Science companies

Roles & Responsibilities

• Work with internal business teams to understand problem statement, requirements and use cases
• Work on Business problems including Marketing Effectiveness, Sales Engagement & Next Best Action, Demand Planning, Customer Segmentation, Test & Control analysis
• Conduct simple and advanced data analysis to help clients make good business decisions
• Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems
• Explore emerging statistical models as well as provide analysis using existing models
• Build solutions on Structured as well as Un-structured data like Text, Images etc.
• Maintain the highest standards to follow the best practices and trending analytics in pharma domain
• Work with project leadership to define project scope
  

Requirements

• Masters in Statistics, Marketing, Finance, Operations research
• 2-3 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.
• 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.
  

Additional Skills

• Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets