The Opportunity
When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our cutting-edge hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in energetic and digitally enabled training that is designed to grow your technical and skilled skills.
As part of the Data Science team you are expected to build machine learning models in cloud environments. As a Associate you are expected to leverage your knowledge in supervised and unsupervised machine learning algorithms, mentor junior team members, and confirm the delivery of top-quality data analysis. You are expected to prepare data for machine learning use cases, use visualization tools, and guide teams in programming.
Responsibilities
Build machine learning models in cloud environments
Utilize specialized knowledge in supervised and unsupervised machine learning algorithms
Mentor junior team members
Verify top-quality data analysis delivery
Prepare data for machine learning use cases
Use visualization tools to present data
Guide teams in programming
What You Must Have
Bachelor's & Master Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, Informatics
2 years of experience
Oral and written proficiency in English required
What Sets You Apart
Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP's Vertex AI platform, AWS SageMaker)
Thorough knowledge and experience of supervised, unsupervised machine learning algorithms
Thorough knowledge of statistics
Experience in Data analysis
Experience in machine learning frameworks and tools
Adva
📌 Data Science Bengaluru
🏢 PwC Italy
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.