Generative AI- Data Science Scrum Master – Senior Associate Full-time

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Senior Associate

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Years of Experience: Candidates with 4+ years of hands on experience

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.

– Design and build chatbots using GenAI technologies.

– Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.

– Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes.

Required Skill:

– 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.

– Experience with data preprocessing, feature engineering, and data wrangling techniques.

– Solid understanding of statistical analysis, hypothesis testing, and experimental design.

– Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.

– Having experience in ensuring effective Agile practices using the Azure DevOps (ADO) board by facilitating ceremonies, tracking workflows, and promoting team collaboration.

-Managing work items, remove blockers, and leverage ADO metrics like burndown charts to monitor progress.

-Additionally, they drive continuous improvement by enforcing Agile best practices and implementing retrospective insights.

– Knowledge of data visualization tools and techniques.

– Strong problem-solving and analytical skills.

– Excellent communication and collaboration abilities.

– Ability to work in a fast-paced and dynamic environment.

Professional and Educational Background:

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

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
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
0%

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date