Internal Firm Services - ACST- Data Analytics- Senior Associate - Hyderabad

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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.Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
  • Respond effectively to the diverse perspectives, needs, and feelings of others.
  • Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
  • Use critical thinking to break down complex concepts.
  • Understand the broader objectives of your project or role and how your work fits into the overall strategy.
  • Develop a deeper understanding of the business context and how it is changing.
  • Use reflection to develop self awareness, enhance strengths and address development areas.
  • Interpret data to inform insights and recommendations.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The OpportunityWhen 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 Analytics team you will collaborate with data scientists to create self-sufficient AI products that drive business transformation. As a Senior Associate, you will take ownership of algorithms, securing their successful implementation while mentoring junior team members and navigating complex data challenges to deliver quality solutions.

Responsibilities

  • Collaborate with data scientists to develop AI products
  • Take ownership of algorithm implementation and performance
  • Mentor junior staff in innovative approaches for AI development
  • Address complex data challenges to maintain quality outcomes
  • Document processes to maintain oversight and compliance
  • Engage with stakeholders to align AI solutions with business needs
  • Monitor and evaluate model performance for continuous improvement
  • Foster a culture of innovation within the team
What You Must Have
  • High School Diploma
  • 3 years of experience
  • Oral and written proficiency in English required
What Sets You Apart
  • B Tech/M Tech/ M Sc in Maths or Stats
  • Proven leadership in application development and project management
  • Demonstrating technical proficiency in SQL, Azure, and Databricks
  • Excelling in problem-solving and analytical skills
  • Developing user-friendly interfaces and experiences
  • Training others in Power Platform applications
  • Coordinating effectively with client teams
  • Maintaining process documentation and error logs
  • Collaborating with data scientists to create AI products

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