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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, youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Youll 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 develop and implement machine learning models and algorithms for Generative AI projects. As a Senior Associate you will analyze complex problems, mentor others, and maintain standards while collaborating with cross-functional teams to apply innovative AI solutions to enterprise challenges. This role allows you to stay at the forefront of advancements in GenAI technologies and make a significant impact on the future of AI solutions. Responsibilities Develop and implement machine learning models for Generative AICollaborate with cross-functional teams to tackle enterprise challengesAnalyze complex problems and deliver innovative AI solutionsMentor team members and promote their professional growthStay updated on advancements in GenAI technologiesMaintain rigorous standards of quality and compliance in projectsBuild meaningful relationships with clients and stakeholdersNavigate complex scenarios to drive impactful results What You Must Have Bachelor's Degree8 years of experience in relevant technical/technology experience with a focus on GenAI projectsOral and written proficiency in English required What Sets You Apart Master's Degree in Data Science, Computer Science, Statistics preferredRelevant certifications in data science or GenAI technologiesExcelling in programming with Python, R, or ScalaSkilled in machine learning libraries like TensorFlow and PyTorchFamiliarity with cloud computing platforms such as AWS or AzureUnderstanding data privacy and compliance regulationsExperience with developing machine learning applications in productionKnowledge of data visualization tools and techniquesExperience in chatbot design and development 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, youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Youll 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 develop and implement machine learning models and algorithms for Generative AI projects. As a Senior Associate you will analyze complex problems, mentor others, and maintain standards while collaborating with cross-functional teams to apply innovative AI solutions to enterprise challenges. This role allows you to stay at the forefront of advancements in GenAI technologies and make a significant impact on the future of AI solutions. What You Must Have Bachelor's Degree3 years of experience in relevant technical/technology experience with a focus on GenAI projectsOral and written proficiency in English required What Sets You Apart Master's Degree in Data Science, Computer Science, Statistics preferredRelevant certifications in data science or GenAI technologiesExcelling in programming with Python, R, or ScalaSkilled in machine learning libraries like TensorFlow and PyTorchFamiliarity with cloud computing platforms such as AWS or AzureUnderstanding data privacy and compliance regulationsExperience with developing machine learning applications in productionKnowledge of data visualization tools and techniquesExperience in chatbot design and development .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.