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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

About The Role About The Role
  • Job Title - SC Global Network - AI - Healthcare Analytics - Consultant
  • Management Level:9-Team Lead/Consultant
  • Location:Bangalore/Gurgaon
  • Must-have skills:GenAI, RAG, Agentic AI, Python, SQL, AI/ML, Visualization (Power BI or Tableau)

  • Good to have skills:    R, Spark, data bricks, 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:
  • Deliver strategic advice to clients by providing data-driven recommendations that enhance business outcomes.
  • Independently manage communications with clients, ensuring clear understanding of project objectives and progress updates.
  • Design and implement GenAI, RAG, Agentic AI, or traditional AI/ML algorithms tailored to address specific business challenges within the healthcare and life sciences sector.
  • Demonstrate knowledge of life sciences datasets and maintain strong domain expertise to drive the development of robust analytics solutions.
  • Support the delivery of consulting projects for global clients, working as part of a small to medium-sized team or as an individual contributor as required.
  • Collaborate with cross-functional teams, leveraging skills in data engineering, data science, and business intelligence tools such as Power BI or Tableau.
  • Apply design thinking principles and business process optimization to recommend and implement innovative, value-driven solutions.
  • Engage in ongoing learning to develop consulting acumen, industry knowledge, and technical capabilities.
  • 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.
  • 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.
  • Extensive GenAI expertise with a track record of creating and deploying GenAI and Agentic AI solutions.
  • 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, RD 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 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
  • 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.


  • Additional Information:
    - Opportunity to work on innovative projects.
    - Career growth and leadership exposure.

  • Qualification
    Job
    Qualifications
  • 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:   data science digital marketing python c ai power bi business development machine learning business intelligence change management sql marketing r tableau spark stakeholder management predictive modeling life sciences aws azure

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