Data Scientist - Senior Associate Job opening at PWC| Bengaluru

HR Service Delivery Associate Job opening at Accenture:

PWCis hiring candidates for the role of Data Scientist – Senior Associate for the Bengaluru, India locations. The complete details about Data Scientist – Senior Associate Job Openings At PWC are as follows :-

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦- 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬

Company Name:	PWC
Required Education:	Any Graduation
Required Skills:	Strong programming skills in languages such as Python, R, or Scala. – Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
Job Id:	610590WD
Location:	Bengaluru
Job Type:	Full-time

Job Description

Job Description: GenAI Data Scientist – Senior Associate (PwC US AC)

Total Exp-4+ Years

PwC US – Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming.

Skills Required:

Experience with object-oriented programming languages such as Java, C++, or C#.

– Experience with developing and deploying machine learning applications in production environments.
– Understanding of data privacy and compliance regulations.
– Relevant certifications in data science or GenAI technologies.

Nice to Have Skills:

– Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
– Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc.
– Experience in chatbot design and development.

Roles & Responsibilities:

Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies.
– Develop and implement machine learning models and algorithms for GenAI projects.
– Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis.
– Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines.
– Validate and evaluate model performance using appropriate metrics and techniques.
– Develop and deploy production-ready machine learning applications and solutions.
– Utilize object-oriented programming skills to build robust and scalable software components.
– Utilize Kubernetes for container orchestration and deployment.