Job Description u0026 SummarynnnAt 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.nnnIn 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.nnn* Why PWCnAt 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.nnnLearn 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.nnnJob Description u0026 SummarynnnA career within Data u0026 Analytics Services will provide you with the prospect to help our clients leverage transformation to enhance their customer experiences.nnn*Responsibilities:nnLead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems.nEstablish and promote best practices in modeling , experimentation, and analytical rigor.nConvert real-world healthcare challenges into scalable data science solutions.nCollaborate with global stakeholders to influence product and business strategy.nMentor and enhance the technical capabilities of the data science team.nKeep up to date with the latest advances in ML and healthcare analytics.nnLine of ServicenAdvisorynnnIndustry/SectornNot ApplicablennnSpecialismnData, Analytics u0026 AInnnManagement LevelnSenior AssociatennnJob Description u0026 SummarynnnA career within Data u0026 Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences.nnn*Responsibilities:nnLead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems.nEstablish and promote best practices in modeling , experimentation,



and analytical rigor.nConvert real-world healthcare challenges into scalable data science solutions.nCollaborate with global stakeholders to influence product and business strategy.nMentor and enhance the technical capabilities of the data science team.nKeep up to date with the latest advances in ML and healthcare analytics.nnMandatory skill setsnnConduct exploratory data analysis using visualizations to understand data patterns and structures.nPerform statistical analysis and hypothesis testing to validate assumptions.nDevelop, deploy, evaluate, and fine-tune machine learning models for business challenges.nDesign and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms.nUtilize advanced statistical and machine learning methods to derive actionable insights.nLead AI research projects focused on innovative data analysis techniques.nnQualifications:nn4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions.nStrong expertise with Azure Stack services and Snowflake.nProficient in SQL with deep knowledge of dimensional modeling .nExperience creating interactive dashboards using Power BI or Tableau.nFamiliarity with advanced statistical analysis, machine learning, and predictive modeling .nProgramming proficiency in R or Python preferred.nExcellent communication skills with the ability to simplify complex technical concepts for diverse audiences.nExperience with AI Automation projects, including Generative AI or Agentic AI, is a plus.nnPreferred skill setsnPython, Machine learning , Deep learningnnnYears of experience requiredn5 + yearsnnnLocationnHyderabadnnnEmployment Type :nFull Time, PermanentnnnEducation Qualification :nFull time B. EnnnEducationnDegrees/Field of Study required: Bachelor of EngineeringnnnSkillsnRequired Skills: Data EngineeringnnnOptional SkillsnAccepting Feedback, Accepting Feedback, Active Listening .

📌 Senior Associate Data Engineer Du0026A Advisory Hyderabad
🏢 PwC India
📍 Hyderabad