Senior Associate Data Science(TS&T)
Hyderabad - My Home Twitza
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Technology StrategyManagement Level
Senior AssociateJob Description & Summary
A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.Position Details:
Service Offerings
Technology Strategy & Transformation practice is aimed at providing client solutions that are related to the CIO/CTO, managing/transforming business functions and providing diligence with respect to technologies involved. Our range of services includes delivery of client engagements in the following areas:
- Technology Strategy: IT Strategy, M&A / Due Diligence, Application Portfolio Assessment, Systems Advisory, Business Continuity & Risk, Business Case Development, Emerging Technologies, and Innovation
- Cloud Advisory and FinOps: Cloud Strategy & Readiness, Cloud Governance, FinOps Strategy, Cloud Operating Model, Cloud Cost Optimization
- Cloud Foundations and Migration: Cloud Architecture, Site Reliability Engineering (SRE), Cloud Governance and Structures, Migration Patterns and Planning
- AI & Data Modernization: AI Enablement and Planning, Generative AI, Responsible AI
- Data Strategy, Governance and Analytics: Data Strategy and Operating Model, Data Management and Governance, Data Migration Strategy and Execution, Data Engineering, Customer Data Analytics
Responsibilities
- Design and implement data models and algorithms to solve complex business problems.
- Perform data extraction, cleaning, transformation, and analysis to derive actionable insights.
- Utilize statistical analysis, data visualization, and data mining techniques to interpret and present findings
- Design, deploy, and manage scalable cloud-based solutions (preferably Azure)
- Identify and evaluate emerging technologies and trends to drive innovation and efficiency.
- Provide technical guidance and expertise to stakeholders on best practices and strategic initiatives
- Support pursuit teams in proposal development, including innovative approaches and methodologies tailored to address specific client requirements
Skills & Experiences
- 3-7 years of experience in consulting experience in Data Science/Data Engineering/Data Analytics or a related field
- Strong analytical skills and ability to effectively interpret and analyze complex data sets (structured and unstructured data both)
- Strong proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow)
- Deep understanding of Data Modeling, Machine Learning (techniques like Linear regression, Random Forest etc), Statistical Analysis and Tests (like ANNOVA, Z-Test, T-test etc)
- Proficiency in using various analytical tools and software, such as Excel, PowerPoint, and data visualization tools like PowerBI, Tableau etc
- Ability to work independently and collaboratively in a fast-paced, deadline-driven environment
- Exceptional communication and presentation skills, with the ability to convey complex ideas to diverse audiences.
Qualifications
- Bachelor's or Master's degree (Preferably M.Tech in Data Science)
- Certifications relevant to any of the following or more areas (Preferred not mandatory) -
- Cloud-based service providers like AWS (e.g. AWS certified ML Engineer),
- Microsoft (PowerBI Data Analyst Associate), GCP
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Analytics Strategy, Architecture Development, Business Architecture, Business Model Innovation, Business Transformation, Cloud Computing, Commercial Strategies, Communication, Creativity, Digital Customer Experience, Digital Strategies, E-Commerce, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Information Technology Applications, Intellectual Curiosity, IT Governance, Learning Agility {+ 11 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Up to 20%Available for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Consulting CX Data Analytics Data management Data Mining Data strategy Data visualization E-commerce Engineering Excel GCP Generative AI Machine Learning NumPy Pandas Power BI Python Responsible AI Scikit-learn Statistics Tableau TensorFlow Unstructured data
Perks/benefits: Career development
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