Azure Data Scientist

Exposure : • 5+ years of hands on experience working with .NET Core and Azure, including Azure resource. • Experience in Azure cloud fundamentals & cognitive services, Azure DevOps • Good to have experience in configuring Alexa for business and Alexa skill development • Experience in Dot Net MVC programming for web app development. • Experience in React Native (Flutter/ReactJS) programming • Experience with developing migration plans, statement of work or project deliverables • Knowledge or experience with multiple migration and/or assessment tools, as well as end to end delivery of cloud-based solutions • Strong knowledge of Build, deploy, and operate serverless apps with end-to-end Azure serverless solutions • Experience in developing cloud native applications preferably on Microsoft Azure Cloud, and act as Azure Developer with knowledge of App Services, Micro services, Containers, Functions. Cloud Storage (BLOBS, Data Lakes, etc.) and Cloud Databases, Azure Cognitive Services, Serverless Architecture. • Deep knowledge and understanding of Microsoft Azure PaaS features, as well as Infrastructure as Code • Hands on experience on Azure App Service Model (Web Apps, Mobile Apps, API Apps and Web Jobs) • Hands on experience with Azure API Management Service • MCSA or MCSE Certifications • At least one Cloud-related certifications and/or competencies including but not limited to: Implementing and managing Microsoft Cloud - MCP, MTCS, MCSE, Cloud platform and productivity, Azure, Windows Server, AD, virtualization, system architecture, and exchange server • Excellent communication skills KEY PERFORMANCE INDICATORS (KPIS):  % Increase in organizational cloud maturity score  Number of areas/departments in the bank where cognitive services (Computer vision, NLP, Speech) were used for the first time.  Business benefits realized through Microsoft advanced AI & analytics; depending on initiatives undertaken benefits may include  % Increase in effectiveness in customer engagement (increased sales, reduced churn)  % Decrease in customer acquisition costs  % Decrease in sales costs  % Increase in marketing effectiveness  Number of identified organizational opportunities to improve data value  Feedback from internal and external stakeholders KNOWLEDGE, SKILLS, & EXPERIENCE: Minimum Qualifications: • Bachelor's/Master’s degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields. • Additional degree or certifications in the field related to the data science/Analytics is preferred. Minimum Experience: • Minimum 5+ years of experience in managing a large AI & analytics in a financial services organization. • Typically, 5 or more years of relevant cloud experience for AWS, Azure Knowledge, Skills, and Attributes: Knowledge and Skills • Researches, develops and maintains deep learning, machine learning and statistical processes against business requirements. • Partners with lines of business to translate business analytic problems into technical solutions and actionable recommendations across the organization. • Researches, develops and maintains processes surrounding modelling and cognitive computing. • Manages cognitive computing development and production infrastructure. • Keep abreast of latest cognitive computing research and trends aligned with business needs. • Background in basic machine learning techniques including supervised, unsupervised, reinforcement and deep learning. • Strong architect skills that transform business needs into AI product. Must have significant experience in building a multigenerational scalable platform. • Excellent understanding of azure cognitive services such as speech to text, computer vision, etc. • The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets. • Effective communication skills (written and verbal) to properly articulate complicated cloud reports to management and other IT development partners. • Demonstrated ability to collaborate effectively in a team environment to achieve desired results. • Demonstrated ability to successfully manage assignments on multiple projects, in a fast-changing technical environment. • Ability to work extended hours as needed. • Advanced presentation skills. • Strong communication skills with ability to expresses technical and business concepts, ideas, feelings, opinions, and conclusions verbally and in writing. Listens attentively and reinforces words through empathetic body language and tone. Attributes • Meaningful Impact - Where the effect of your work makes a difference and helps people to prosper • Personal and Professional Growth - The chance to develop through world-class training, challenging work, and different roles • Respect - Be part of an organization that cares about its people, its wider community, and the environment • Co-worker quality - Work with inspiring professionals who are leaders in their field • Change Advocate: Identifies and acts upon opportunities for continuous improvement. Encourages prudent risk-taking, exploration of alternative approaches, and organizational learning. • Conceptual & Innovating Thinking: Synthesizes facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations. Recognizes abstract patterns and relationships between apparently unrelated entities or situations. • Leadership: Leads members of formal and informal groups in the pursuit of common • Missions, vision, values and mutual goals. Places team needs and priorities above personal needs. Involves others in making decisions that affect them. Draws on the strengths of colleagues and gives credit to others' contributions and achievements. • Global stability - Work for a solid global organization that has successfully reinvented itself many times in its history.