Generative AI- Data Science Scrum Master - Senior Associate
Generative AI- Data Science Scrum Master - Senior Associate
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob 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 decisionmaking 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 decisionmaking and automation.
Years of Experience: Candidates with 4 years of hands on experience
Responsibilities:
Collaborate with crossfunctional 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 productionready machine learning applications and solutions.
Utilize objectoriented 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 uptodate 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 scikitlearn.
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 problemsolving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fastpaced and dynamic environment.
Professional and Educational Background:
- BE / / MCA / / M.E / / 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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
