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          information, to generate tactical and
          strategic insights

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          Business Analytics

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          From choosing the right PMR technique, to helping the client decide what’s best for them based on the analysis and insights – our team of experts will help our client navigate through it all.

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          Based on the client’s business needs, we
          combine our functional expertise in market
          assessments, competitive intelligence,
          claims and sales data analysis with our vast
          experience in in forecasting, to provide
          end-to-end consulting solutions.

          Read More >

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          Our custom in-depth training framework
          ensures that our client’s team members not
          only get acquainted with know-how and best
          practices, but also get a chance to try out
          their skills with the help of simulated
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          Why stay behind? We’re taking on some of the biggest challenges in the latest technologies of Big Data analytics, machine learning, and more.

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          To help business users achieve the bigger goal, our PACE suite of products offer a centralized, cutting-edge technology driven approach that provides a platform for seamless data movement to and from the forecast platform

          Read More >

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          BI is about delivering relevant and reliable information to the right people so they can make sound and timely decisions.

          Read More >

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          To stay on top of changing information and a variety of business challenges in today’s world, a mobile-first approach is a necessity.

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Associate Consultant- Data Science

Practice: Data Science
Job Location: Pune, India

Brief introduction:
If you are keen to work on analytical problem solving, then work in the area of advance data analytics/sciences to provide consulting to pharmaceutical clients.

Associate Consultant:
As an Associate Consultant, you are expected to the manage onshore / client communication and mentor a team of analysts.
Advance data analytics/sciences Associate consultants/Consultants design and implements analyses on patient level data or similar datasets.

Responsibilities:

  • Analyze different pharmaceutical / life sciences data sets like claims data, electronic medical records, anonymous patient level data, prescription data & sales data, promotional data.
  • Communicate results to clients and onshore team members.
  • Develop client relationships and serve as an offshore key point of contact for the project.
  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
  • Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability.
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed.
  • Defining validation strategies
  • Defining the preprocessing or feature engineering to be done on a given dataset
  • Defining data augmentation pipelines
  • Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them.
  • Knowledge on Deep learning techniques is added advantage.
  • Deploying models to production
  • Interpreting and analyzing both qualitative and quantitative data points; hypothesis building with Strong excel and PPT skills.
  • Process automation using SQL/Python/Other available technologies/ETL Tools etc

Qualifications:

  • Bachelor’s or master’s in engineering
  • 1 – 3 years of pharma / life science consulting job experience
  • High motivation, good work ethic, maturity and personal initiative
  • Strong oral and written communication skills
  • Strong excel and PowerPoint skills.
  • Adherence to client specific data privacy and compliance policies
  • Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets.

Apply for this position

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