Generative AI - Manager at pwc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Data Science, Machine Learning, Model Development, Data Visualization, Leadership, Coaching, Performance Management, Statistical Analysis, Predictive Modeling, Kubernetes, Data Preprocessing, Feature Engineering, Cloud Platforms, LLM-backed Agent Frameworks

Industry

Professional Services

Description

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. 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 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, 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 and Analytics team you will lead the development and implementation of sophisticated machine learning models for GenAI projects, driving innovation and excellence in data science. As a Manager you will mentor a team of data scientists, guiding them in applying GenAI technologies to solve complex business challenges while đảm bảo the utmost standards of quality and performance. This role offers the chance to shape the future of GenAI solutions, collaborating with experts and leveraging advanced technologies to make a significant impact. Responsibilities - Lead and mentor a team of data scientists to apply GenAI technologies for solving complex business problems. -Oversee development, implementation, and optimization of machine learning models and algorithms for GenAI projects. -Manage data preparation processes, including cleaning, preprocessing, and feature engineering to ensure data quality. -Collaborate with data engineers and developers to integrate and streamline data processing within machine learning pipelines. -Drive deployment of scalable, production-ready machine learning applications using Kubernetes and advanced programming skills. -Communicate insights effectively to senior stakeholders and promote continuous learning and adoption of cutting-edge GenAI technologies within the team. What You Must Have - Bachelor's & Manaster Degree - 8 years of experience - Oral and written proficiency in English required What Sets You Apart - Extensive expertise in data preprocessing, feature engineering, statistical analysis, and machine learning application deployment. -Strong proficiency with cloud platforms (AWS, Azure, Google Cloud) and specialized tools like Azure AI Search, AWS Textract, and AWS Bedrock. -Experienced in leading data science teams and managing projects with excellent problem-solving and project management skills. -Skilled in object-oriented programming languages including Java, C++, and C#. -Knowledgeable in data privacy, compliance regulations, and advanced certifications in data science or GenAI technologies. -Familiarity with LLM-backed agent frameworks (e.g., Autogen, Langchain, Semantic Kernel) and chatbot development expertise. Travel Requirements 0% Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

The manager will lead and mentor a team of data scientists applying Generative AI technologies to solve complex business problems, overseeing the development, implementation, and optimization of sophisticated machine learning models for GenAI projects. Responsibilities also include managing data preparation, collaborating on pipeline integration, driving scalable application deployment, and communicating insights to senior stakeholders.