Junior Data Scientist

Position Summary

This role supports the IT Operations Control and Conduct Chief Office's Line of Defense 1 and 2 teams to enhance their data analytics needs. Responsibilities include automating and consolidating existing control processes, developing new analytic methods, producing data visualizations, and applying artificial intelligence techniques.

Key Responsibilities

• Develop and implement AI models, especially in natural language processing, to analyze textual data from banking professions while upholding ethical and confidentiality standards. Tasks encompass sentiment analysis, document classification, summarization, and information extraction.
• Work collaboratively with business experts, product owners, developers, and data scientists to define project scope, data sources, metrics, deliverables, and ensure AI governance compliance.
• Conduct diverse data analyses, including gathering and preparing data using ETL concepts and technologies, and self-learning new APIs or methods as required.
• Create automation scripts and reusable libraries to streamline processes and generate visualizations highlighting risk indicators such as KPIs and KRIs.
• Maintain thorough documentation for deliverables to facilitate understanding and automated insights, ensuring proper technical deployment and usage.
• Stay updated on advances in artificial intelligence to propose innovative improvements continuously.

Required Experience and Competencies

• Proficient in various data analytics techniques including diagnostic, prescriptive, descriptive, predictive, cognitive, statistical, text (NLP), and risk analysis.
• Hands-on programming skills in Python, PowerShell, and SQL; familiarity with APIs, DevOps methodologies, operating systems, network fundamentals, and IT culture.
• Knowledge of machine learning model training, inference, and prompt engineering.
• Strong coding practices and understanding of software development lifecycles.
• Minimum of 3 years professional experience in relevant roles.
• Experience in project and change management is advantageous.
• Preference given to candidates with experience in multinational companies operating onshore and offshore models.

Behavioural Attributes

• Exceptional communication, analytical and problem-solving skills with close attention to detail.
• Highly organized with the ability to multitask and adapt to rapid changes and tight deadlines.
• Strong interpersonal skills enabling effective collaboration across teams and stakeholders.
• Proficient in simplifying and optimizing procedures, and adapting processes as needed.

Education and Certifications

Bachelor’s degree in Computer Science, Information Assurance, or a related field, or equivalent experience.

Desirable Qualifications

• Experience in ETL processes and data visualization tools.
• Understanding of AI governance and ethical standards.
• Knowledge of the banking and financial services sector.
• Familiarity with information security and risk management is a plus but not required.

About BNP Paribas

BNP Paribas is a leading EU bank with a long-standing regional presence since 1860. It offers a comprehensive range of financial services including corporate and private banking, asset management, and insurance. The company is committed to diversity, inclusion, and sustainability, actively supporting employee networks centered on LGBTQIA+ rights, gender representation, disability inclusion, and cultural diversity. BNP Paribas has committed to achieving carbon neutrality by 2050 and supports clients in their energy transition efforts.