As an Associate, youll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Invite and give in the moment feedback in a constructive manner.
• Share and collaborate effectively with others.
• Identify and make suggestions for improvements when problems and/or opportunities arise.
• Handle, manipulate and analyse data and information responsibly.
• Follow risk management and compliance procedures.
• Keep up-to-date with developments in area of specialism.
• Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
• Build and maintain an internal and external network.
• Seek opportunities to learn about how PwC works as a global network of firms.
• Uphold the firms code of ethics and business conduct.

You will play an integral role in valuation and transactions services provided to PwC audited companies

Specific responsibilities include but are not limited to:

• Participating in a wide range of projects and collaborating across multiple work streams or teams; consistently demonstrating creative thinking, individual initiative and timely completion of assigned work

• Consistently demonstrating teamwork dynamics by working as a team member: understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seek guidance, clarification and feedback

• Ability to prepare deliverables within stringent deadlines

• Keep up to date with local, national and international business and economic issues

• Contribute to the development of your own and team s technical acumen.

• Serve as participant on communications with numerous Engagement teams

A career in this practice will require you to perform following activities and have following attributes:

• Identify, extract and streamline valuable data sources

• Automate data collection process

• Data collection, cleaning/engineering and maintaining data sources for ML models

• Clean and analyse structured and unstructured large amount of data

• Using data and analytics skills to gather and interpret data

• Build predictive, machine learning and deep learning models

• Summarise/present information using various visualisation methods

• Find and propose various solutions and strategies to current business problems and challenges

• Improve or develop existing models in practice

• Ensemble models and improve performance of the predictive models

�