Senior Data Scientist for Audit | CDI | H/F

Overview

Financial audit or risk analysis are our historical professions. But that doesn’t stop us from developing them Automation, digitalization, artificial intelligence… this changes everything in the processing and analysis of financial statements.

Technology is at the heart of our missions. The complexity of systems, the increase in the use of data and the constant investment in technology by our customers create new challenges but also opportunities.

In our audit teams, we have invested significantly in emerging technologies to understand the processes, technologies and systems used by our clients and fundamentally reshape our business approaches.

Our Data Science for Audit team is an integral part of this eco-system. We provide and develop technology initiatives across all of our clients' sectors.

We do this through our expertise in data analytics, robotics, AI, GenAI, machine learning and using existing best practices on the market.

Our teams also work directly with our clients to generate relevant insights and make the data speak to give us a better understanding of their risk assessment.

What you can expect from us:

The data team is a highly qualified, efficient, diverse and leading team in the implementation of advanced technological solutions for auditing. As a data specialist, you will:

• Advise audit teams on ways to automate and reinvent our missions, implementing innovative technologies, such as GenAI/Machine Learning and Python.
• Build a solid understanding of the role data and analytics play in modern finance.

We are in partnership with major Tech players such as OpenAI, Microsoft, Google, Databricks and Harvey.

You will work on missions allowing you to develop skills in advanced analytics, GenAI and Machine Learning, data engineering and visualization tools to deliver PwC's digital experience to clients. This means you will develop the technical and business skills around the topic of data and analytics that our customers demand today.

As the main player in data analysis for the PwC France audit, you will work closely with clients and audit teams in a wide range of sectors (e.g. Distribution, Retail, Pharmaceuticals, Energy, Telecommunications, Banking, Insurance, etc.).

Training and development

Thanks to our tailor‑made training program, you will develop the foundations to become a highly qualified Data Science professional. You will also benefit from the support of a dynamic and experienced team who will help you guide your career, so that you can always give the best of yourself.

Our goal is to ensure that our employees obtain relevant external accreditations (combination of soft and technical skills), thus distinguishing you as a Data expert.

What we expect from you:

• Higher education, you have 3-5 years of experience in Data
• You are able to support audit missions using data analysis and emerging technology (e.g. LLM GenAI, Machine Learning)
• Development of innovative approaches in conjunction with business teams thanks to a solid skills base, in particular:
• Connaissance GenAI (ex. OpenAI, VertexAI, Llama, Mistral)
• Understanding common data quality issues and their effects on GenAI and Machine Learning models
• Transform and model (e.g. pandas, thrillers and scikit-learn for Python)
• Data storage et interrogation (ex. ChromaDB, SQL, Alteryx)
• Data visualisation (ex. PowerBI, Seaborn)
• Data cleaning and manipulation for GenAI and Machine Learning (e.g. feature engineering)
• You are dynamic and enjoy teamwork and above all: supporting, transmitting and sharing is your leitmotif
• You have started to develop your team management and coaching skills, and you want to go further in reviewing the team's work and supervising it.
• You are keen to build a bond of trust with the team and listeners
• As the teams are multiple and everywhere, you know how to adapt
• Fluency in English is essential because your daily life at PwC is open to the world
• Organization, rigor, curiosity and excellent interpersonal skills will allow you to succeed in this position.

Benefits

• Flexibility with the FlexWork charter: extended teleworking, geographic mobility, FlexTime, Dress for your day
• Sustainable mobility pass to cover your sustainable mobility expenses
• Be Well, Work Well program to take care of your health (Gymlib partnership, United heroes application, sports associations, mindfulness training, etc.)
• Family Care program to support you in your parenthood projects as well as in difficult times
• Health ecosystem to find who to talk to, be listened to and helped whatever your professional or personal difficulties
• Credit of 3 days per year on working time for societal com