Machine Learning Engineer - Senior Associate at pwc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Manipulation, Data Visualisation, Statistical Modelling, Data Pipelines, Machine Learning Models, Responsible AI, GenAI, Critical Thinking, Team Leadership, Python, Cloud Computing, Data Preprocessing, Feature Engineering

Industry

Professional Services

Description

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate 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. 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. 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 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 Analysis team you will oversee the development and maintenance of data pipelines and the implementation of machine learning models. As a Senior Associate you will analyze complex problems, mentor others, and maintain standards while leading a multi-disciplinary team and championing Responsible AI practices. This position offers a chance to shape the future of GenAI projects and make a significant impact in a rapidly evolving technological landscape. Responsibilities - Lead the development and maintenance of data pipelines - Implement machine learning models to enhance data analysis - Analyze complex problems and provide strategic insights - Mentor and guide team members in Responsible AI practices - Collaborate with a multi-disciplinary team to drive innovation - Shape the direction of GenAI projects for impactful outcomes - Maintain rigorous standards in project execution and delivery - Stay abreast of advancements in data analytics technologies What You Must Have - Bachelor's Degree - 4 years of experience - Oral and written proficiency in English required What Sets You Apart - Bachelor's or Master's in Computer Science, Data Science, Statistics - Certifications in cloud (Azure/AWS/GCP), Kubernetes, or GenAI technologies - Demonstrating leadership in managing data science teams - Excelling in data preprocessing and feature engineering - Utilizing advanced programming skills in Python - Understanding cloud computing platforms like AWS, Azure, or Google Cloud - Communicating complex AI concepts effectively - Having a finance background or experience in Finance or Banking domain - Experience implementing Model Context Protocol (MCP) Travel Requirements Not Specified 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 role involves leading the development and maintenance of data pipelines and implementing machine learning models to enhance data analysis, while also mentoring team members in Responsible AI practices. Responsibilities include analyzing complex problems, collaborating with multi-disciplinary teams, shaping GenAI projects, and maintaining rigorous standards in project execution.