Data Analytics Lead

Your Role

1. Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model
2. Engage with project activities across the Information lifecycle.
3. Understanding client requirements, develop data analytics strategy and solution that meets client requirements
4. Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities
5. Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency
6. Architect large scale AI/ML products/systems impacting large scale clients across industry
7. Own end to end solutioning and delivery of data analytics/transformation programs
8. Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution
9. Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale
10. Assist sales team in reviewing RFPs, Tender documents, and customer requirements
11. Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets
12. Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT

Your Profile

1. B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background
2. Minimum 10 years + on Job experience in data analytics with at least 7 years of CPRD, FS, MALS, Utilities, TMT or other relevant domain experience required
3. Specialization in data science, data engineering or advance analytics filed is strongly recommended
4. Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision
5. Good, applied statistics skills, such as distributions, statistical inference & testing, etc.
6. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
7. Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc.
8. At least 7 years’ experience deploying digital and data science solutions on large scale project is required
9. At least 7 years’ experience leading / managing a data Science team is required