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Job Description & Summary 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. * Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more about us. At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary A career within Data & Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences. *Responsibilities: Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems. Establish and promote best practices in modeling , experimentation, and analytical rigor. Convert real-world healthcare challenges into scalable data science solutions. Collaborate with global stakeholders to influence product and business strategy. Mentor and enhance the technical capabilities of the data science team. Keep up to date with the latest advances in ML and healthcare analytics. Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data & Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences. *Responsibilities: Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems. Establish and promote best practices in modeling , experimentation, and analytical rigor. Convert real-world healthcare challenges into scalable data science solutions. Collaborate with global stakeholders to influence product and business strategy. Mentor and enhance the technical capabilities of the data science team. Keep up to date with the latest advances in ML and healthcare analytics. Mandatory skill sets Conduct exploratory data analysis using visualizations to understand data patterns and structures. Perform statistical analysis and hypothesis testing to validate assumptions. Develop, deploy, evaluate, and fine-tune machine learning models for business challenges. Design and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms. Utilize advanced statistical and machine learning methods to derive actionable insights. Lead AI research projects focused on innovative data analysis techniques. Qualifications: 4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions. Strong expertise with Azure Stack services and Snowflake. Proficient in SQL with deep knowledge of dimensional modeling . Experience creating interactive dashboards using Power BI or Tableau. Familiarity with advanced statistical analysis, machine learning, and predictive modeling . Programming proficiency in R or Python preferred. Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences. Experience with AI Automation projects, including Generative AI or Agentic AI, is a plus. Preferred skill sets Python, Machine learning , Deep learning Years of experience required 5 + years Location Hyderabad Employment Type : Full Time, Permanent Education Qualification : Full time B. E Education Degrees/Field of Study required: Bachelor of Engineering Skills Required Skills: Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening .
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.