Data Scientist - Senior Associate

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Senior Associate

Job Description & Summary

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.

• Delegate to others to provide stretch opportunities, coaching them to deliver results.

• Demonstrate critical thinking and the ability to bring order to unstructured problems.

• Use a broad range of tools and techniques to extract insights from current industry or sector trends.

• Review your work and that of others for quality, accuracy and relevance.

• Know how and when to use tools available for a given situation and can explain the reasons for this choice.

• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.

• Use straightforward communication, in a structured way, when influencing and connecting with others.

• Able to read situations and modify behavior to build quality relationships.

• Uphold the firm's code of ethics and business conduct.

Data Scientist (SA) - AWS

Join our team as a Senior Associate in the Data Scientist role and help us drive innovation and build cutting-edge LLM (Large Language Model) powered applications on the cloud for our clients. As a manager at our organization, you will play a crucial role in designing and implementing large-scale LLM applications on public cloud platforms. Your expertise in Gen AI development, machine learning, deep learning models, agile software development practices, and software component design will be essential in delivering high-quality solutions.

Experience: 5 - 8 years

 Minimum Degree Required: Bachelor’s degree in engineering.

Certification(s) Preferred: AWS Machine Learning Specialty, AWS Data Engineering Associate, AWS Solution Architect (Associate or Professional)

  Desired Skills

• Strong development experience in advanced-level programming in Python/Pyspark to support data analysis and API / Model development.

• Apply deep understanding of Gen AI development, machine learning, and deep learning models to design and optimize LLM applications in both local and cloud environments.

• Utilize expertise in public cloud platforms to build and deploy scalable and secure LLM solutions.

• Minimum 3+ year of experience of supervised, unsupervised and reinforcement learning machine
  learning algorithms. For e.g.: classifiers, cluster analysis, dimension reduction, regression, and
  models CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU,
  word/doc embeddings, collaborative filtering, self-attention, transformers, etc.

• Proficiency in developing code for both containerized (EKS, Docker, Kubernetes) and serverless environments.

• Experience with creating Data Lake on AWS is a plus

• Experience with the current state of AI/ML, Large Language Models, and Generative AI

• Fine-tune language models to specific domains using LLM to improve the accuracy and
  effectiveness. 

• Build generative AI models that can generate original content, such as text, images.

• Experience with both SQL and NoSQL database systems and can write SQL queries.

• Implement LLM Ops practices to monitor and maintain the performance and reliability of language models.

• Implement measures to prevent Prompt Injection Attacks and ensure the integrity of language models.

• Fine-tune language models to specific domains using LLM to improve the accuracy and effectiveness of text-based applications.

• Utilize model explainability and interpretability techniques to provide insights into model predictions and decision-making processes.

• Excellent communication skills with the ability to influence client business and IT teams.

• Experience with Agile software development

​

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date