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S&c Global Network - Ai - Life Sciences -data Science Consultant @ Accenture

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 S&c Global Network - Ai - Life Sciences -data Science Consultant

Job Description

Entity:- Accenture Strategy & ConsultingTeam:- Global Network Data & AIPractice:- Life Sciences Title:- Ind & Func AI Decision Science Consultant
Job Location:- Gurgaon, Mumbai, BangaloreAbout Strategy & Consulting Global Network:- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.WHAT'S IN IT FOR YOU?
  • An opportunity to work on high-visibility projects with top Pharma clients around the globe.
  • Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
  • Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional.
  • Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities.
  • Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.

    • Qualifications    What you would do in this role
  • Support delivery of small to medium-sized teams to deliver consulting projects for global clients.
  • Responsibilities may include strategy, implementation, process design, and change management for specific modules.
  • Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science
  • Provide Subject matter expertise in various sub-segments of the LS industry.
  • Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.
  • Acquire new skills that have utility across industry groups.
  • Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact.
  • Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables.
  • Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change.
  • Make presentations wherever required to a known audience or client on functional aspects of his or her domain.

    • Who are we looking for?

  • Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.
  • Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.
  • Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records)
  • Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data.
  • Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc.
  • Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
  • Proficiency in Programming languages such as R, Python, SQL, Spark, etc.
  • Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL.
  • Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
  • Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have.
  • Excellent analytical and problem-solving skills, with a data-driven mindset.
  • Proficient in Excel, MS Word, PowerPoint, etc.
  • Ability to solve complex business problems and deliver client delight.
  • Strong writing skills to build points of view on current industry trends.
  • Good communication, interpersonal, and presentation skills

    • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Analytics - Other
    Role: Data Science & Analytics - Other
    Employement Type: Full time

    Contact Details:

    Company: Accenture
    Location(s): Mumbai

    + View Contact

    Keyskills:   microsoft azure sql spark life sciences aws python hypothesis testing spotfire power bi time series machine learning artificial intelligence qlikview marketing r tableau data science gcp predictive modeling segmentation statistics

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