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S&C Global Network - AI - Life Sciences -Data Science Analyst

2-7 years

Gurgaon / Gurugram

1 vacancy

S&C Global Network - AI - Life Sciences -Data Science Analyst

Accenture

posted 1 week ago

Job Role Insights

Flexible timing

Job Description







Entity:- Accenture Strategy & Consulting



Team:- Global Network Data & AI



Practice:- Life Sciences



Title:- Ind & Func AI Decision Science Consultant




Job Location
:- Delhi, Gurgaon, Mumbai, Bangalore



About 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.



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
  • Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.
  • Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc.,
  • 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.
  • Make presentations wherever required to a known audience or client on functional aspects of his or her domain.


  • Qualification



    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 (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.
  • 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 in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
  • Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc.
  • 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




  • Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

    Employment Type: Full Time, Permanent

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    Accenture Data Science Analyst Interview Questions

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    What people at Accenture are saying

    3.3
    Rating based on 59 Data Science Analyst reviews

    Likes

    work life balance, learning opportunities

    Dislikes

    no hike, no good project, dissatisfaction

    • Salary - Bad
    • +3 more
    Read 59 Data Science Analyst reviews

    Data Science Analyst salary at Accenture

    reported by 619 employees with 1-6 years exp.
    ₹12 L/yr - ₹20.6 L/yr
    14% more than the average Data Science Analyst Salary in India
    View more details

    What Accenture employees are saying about work life

    based on 63.9k employees
    65%
    84%
    67%
    75%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    Accenture Benefits

    Free Transport
    Cafeteria
    Work From Home
    Gymnasium
    Health Insurance
    Soft Skill Training +6 more
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