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
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