PwC
Website:
pwc.com
Job details:
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
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 innovative 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 dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data Science team you are expected to build machine learning models in cloud environments. As a Senior 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
- 4 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
- Advanced level programming in SQL or Python/Pyspark
- Proficiency with visualization tools
- Working knowledge of containerization, Dockers and data pipeline orchestration
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 innovative 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 dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data and Analytics team you will drive analytics projects within the CPG and Retail domain, delivering data science solutions. As a Senior Associate, you will leverage your knowledge to analyze complex data, mentor others, and foster meaningful client connections. This role provides a platform to influence business strategies and enhance decision-making processes.
Responsibilities
- Drive analytics projects within the CPG, Retail, Supply Chain, Utilities sectors
- Analyze complex data to derive meaningful insights
- Mentor and guide team members in their professional growth
- Foster substantial connections with clients to understand their needs
- Influence business strategies through data science solutions
- Enhance decision-making processes with analytical knowledge
- Collaborate with cross-functional teams to achieve project objectives
- Adapt to evolving industry trends and client demands
What You Must Have
- Bachelor's Degree
- 4 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Advanced Degree in quantitative discipline
- Hands-on experience with CPG, Retail, Supply Chain, Utilities sectors data assets
- Proficiency in machine learning techniques and statistical methods
- Excelling in developing interactive visualizations
- Familiarity with big data & real-time analytics stacks
- Ability to translate insights for diverse stakeholders
- Experience with ML engineering tools preferred
- Knowledge of retail-media impression/click logs preferred
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