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

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

Job Description


 About The Role  Job Title - S&C Global Network - AI - Healthcare Analytics - ConsultantManagement Level:9-Team Lead/ConsultantLocation:Bangalore/GurgaonMust-have skills:R,Phython,SQL,Spark,Tableau ,Power BI
Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.Job
Summary:This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.Roles & Responsibilities:Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.WHATS 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 everythingfrom 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.

    • Professional & Technical
    Skills:
  • - Relevant experience in the required domain.- Strong analytical, problem-solving, and communication skills.- Ability to work in a fast-paced, dynamic environment.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


    • Additional Information:    - Opportunity to work on innovative projects.- Career growth and leadership exposure.About Our Company | Accenture
     Qualification 
    Experience:4-8 Years
    Educational Qualification:    Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

    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): Bengaluru

    + View Contact

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

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