Senior Associate

Not Applicable Specialism SAP Management Level Senior Associate Summary A career within Enterprise Architecture services, will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives, assessing solution options, and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually researching new technologies to drive innovation and sustainable change. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Summary A career within . A career within Application and Emerging Technology services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Senior Associate - Data Science Build, Train, and Deploy ML Models using Python on Azure/AWS 3+ years of Experience in building Machine Learning and Deep Learning models in Python Experience on working on AzureML/AWS Sagemaker Ability to deploy ML models with REST based APIs Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.) Ability to work directly with customers with good communication skills. Ability to analyze datasets using SQL, Pandas Experience of working on Azure Data Factory, PowerBI Experience on PySpark, Airflow etc. Experience of working on Docker/Kubernetes Mandatory skill sets Python, Data Science Preferred skill sets Python, Data Science Years of experience required 4 - 8 Education qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills No