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Supervising Associate - Data Science - EDS

5 - 6 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Description Summary Job purpose Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects. Specific Role Requirements Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions.Capability to clearly understand and articulate a data science problem and lead multiple projects with required support.Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus.Should have hands-on experience on database using SQL.Should have knowledge on Data visualization tool like Power BI.Good to have experience in any AutoML tool.Good to have experience in GenAI.Good to have experience in Azure cloud. Client Responsibilities: Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions.Provide product and design level technical best practicesInterface and communicate with the onsite coordinatorsDevelop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc.Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.Completion of assigned tasks on time and regular status reporting to the lead Experience and Qualification: B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering with strong quantitative background and adequate industry experienceShould be at least around 5-6 years of experience in AnalyticsShould have understanding and experience of analytics best practices.Excellent business communication, Consulting, Quality process skillsMust be a team player and team leader Your People Responsibilities (For People Leading Roles) Building a quality cultureManage the performance management for the direct reportees, as per the organization policiesFoster teamwork and lead by exampleTraining and mentoring of project resourcesMentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc.)Participating in the organization-wide people initiatives Additional Skills Requirements Experience in Insurance/ Banking/ FinancePrior Client facing skillsPrior onsite experience is a plusShould have engaged in client interactions, participating in business workshops EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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EY
EY

Professional Services

London

300,000+ Employees

8277 Jobs

    Key People

  • Carmine Di Sibio

    Global Chairman and CEO
  • Kate Barton

    Global Vice Chair, Tax

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