Data Analytics Lead

Capgemini Invent 

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses.

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

Your Profile 
- B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background
- Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required
- Specialization in data science, data engineering or advance analytics filed is strongly recommended
- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision
- Good, applied statistics skills, such as distributions, statistical inference & testing, etc.
- 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).
- Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc.
- At least 7 years experience deploying digital and data science solutions on large scale project is required
- At least 7 years experience leading / managing a data Science team is required
- Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive,

What you will love about working here 
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as Generative AI.

About Capgemini 

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.