Unit Head- AI Security & Cyber Innovation

Responsibilities

Role: Data Scientist

Type: Full-Time

Level: Mid to Senior (3–5 Years of Experience)

About the Role

We are hiring a Data Scientist to join our brand new "Data Lab" team within ISR (Information Security and Risk). You will turn complex data into actionable insights and intelligent models, working across the full data science lifecycle - from exploratory analysis and feature engineering to model deployment and monitoring - in a collaborative, fast-paced environment. This is a unique opportunity to be a founding member of a team applying data science at the heart of information security and risk.

Key Responsibilities

Analyze large, complex datasets to uncover patterns, trends, and business insights

Build, train, and evaluate machine learning and statistical models

Design and implement end-to-end ML pipelines from data ingestion to model serving

Collaborate with engineering teams to deploy models into production

Define KPIs and build dashboards to track model performance and data quality

Conduct A/B testing and experimentation to validate hypotheses

Work with stakeholders to translate business problems into data science solutions

Document methodologies and present findings to technical and non-technical audiences

What We're Looking For

A curious, rigorous thinker who is equally comfortable in a Jupyter notebook and a production codebase. You can independently drive analysis from raw data to deployed model, and communicate results clearly to both technical and business stakeholders.

Profile required

Required Skills

3–5 years of experience as a Data Scientist or in a similar analytical/ML role

Strong proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, seaborn)

Experience with supervised and unsupervised learning algorithms

Solid understanding of statistics: hypothesis testing, regression, distributions, Bayesian methods

Experience with SQL and working with relational databases

Familiarity with ML frameworks: TensorFlow, PyTorch, or XGBoost / LightGBM

Experience with data visualization tools (Matplotlib, Plotly, Power BI, or Tableau)

Understanding of model evaluation, cross-validation, and hyperparameter tuning

Nice to Have

Experience with MLflow, DVC, or similar experiment tracking tools

Exposure to LLMs, fine-tuning, or GenAI use cases

Familiarity with cloud ML platforms: Azure ML, AWS SageMaker, or Vertex AI

Knowledge of feature stores and model registries

Experience with PySpark or distributed computing for large-scale data

Familiarity with RAG or embedding-based search systems

Experience working in the cyber domain or having cyber knowledge will be an added advantage

Why join us

Business insight

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating?

You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.

We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

Diversity and Inclusion

We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents , regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.