Supervising Associate - Data Science - EDS

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 practices
• Interface and communicate with the onsite coordinators
• Develop 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 experience
• Should be at least around 5-6 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, SAS/R/Python programming etc.)
• 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