Data Science Intern

Ernst & Young LLP ( EY India )

Thiruvananthapuram

Not disclosed

Work from Office

Full Time

Min. 7 Years

Job Details

Job Description

Data Science-Supervising Associate-EDS

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

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

  • Candidate must have at least 7 plus years of analytics experience.
  • Must have at least 4 years of solid 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.


Client Responsibilities:

  • Need to work as a senior team member to contribute in various technical streams of Decision Sciences implementation project.
  • Provide product and design level technical best practices
  • Interface and communicate with the onsite coordinators
  • Develop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering and segmentation of customers
  • 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 experience
  • Should have around 7 years of experience in Analytics
  • Should have understanding and experience of analytics best practices.
  • Excellent business communication, Consulting, Quality process skills
  • Must be a team player and team leader


Your people responsibilities (For People Leading Roles)

  • Building a quality culture
  • Manage the performance management for the direct reportees, as per the organization policies
  • Foster teamwork and lead by example
  • Training and mentoring of project resources
  • Mentor the team in a specific area of specialization (stats modelling, machine learning in R/Python programming.)
  • Participating in the organization-wide people initiatives


Additional Skills requirements

  • Experience in Insurance/ Banking/ Finance
  • Prior Client facing skills
  • Prior onsite experience is a plus
  • Should have engaged in client interactions, participating in business workshops


EY | Building a better working world



EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.



Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.



Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job role

Work location

Trivandrum, KL, IN, 695581

Department

Data Science & Analytics

Role / Category

Data Science & Machine Learning

Employment type

Full Time

Shift

Day Shift

Job requirements

Experience

Min. 7 years

About company

Name

Ernst & Young LLP ( EY India )

Job posted by Ernst & Young LLP ( EY India )

This job has expired

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