Senior Python Data Scientist – AI Finance Platform

Senior Python Data Scientist – AI Finance Platform

Paris

emagine is a high-end professional services consultancy and solutions firm Specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions.

We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine.

We are currently looking for a dynamic individual to join our AI & Data Practice as a Senior Python Data Scientist, working within a multi-disciplinary team delivering cutting-edge AI solutions for a global banking client.

As a Senior Python Data Scientist, you will play a key role in designing and delivering AI-enabled data products and machine learning solutions across finance platforms. You will work closely with data engineers, AI engineers, product owners, and business stakeholders to build scalable, production-grade solutions that enhance decision-making, risk management, and operational efficiency.

Collaborating with global teams, you will contribute to the full lifecycle of data science delivery—from data ingestion and model development through to deployment, monitoring, and optimisation within a highly regulated financial environment.

The Role:

•         Design and develop scalable Python-based data pipelines for financial data ingestion, transformation, and analysis

•         Build and deploy machine learning models to generate predictive insights and improve platform intelligence

•         Contribute to and lead end-to-end model lifecycle (MLOps) including experimentation, validation, deployment, and monitoring

•         Develop AI-driven solutions, including exposure to NLP and Generative AI use cases (e.g. LLMs, RAG pipelines)

•         Implement data quality, validation, and governance frameworks aligned to regulatory and security standards

•         Design and build analytics dashboards and monitoring tools to track model performance and data health

•         Collaborate with cross-functional teams including data engineering, product, and business stakeholders to deliver scalable AI solutions

•         Translate complex analytical outputs into clear, actionable insights for senior stakeholders

•         Contribute to continuous improvement and innovation across AI and data capabilities within finance platforms

•         Support the development of robust, scalable, and maintainable data science solutions within enterprise environments

Key Skills and Experience:

To succeed in this role, you will need:

•         Strong experience in Python programming, with hands-on use of libraries such as Pandas, Scikit-learn, PySpark or similar

•         Proven experience building and maintaining data pipelines and data products at scale (cloud or distributed environments)

•         Solid understanding of machine learning techniques, including predictive modelling, classification, regression, and/or NLP

•         Experience deploying models into production with MLOps frameworks (CI/CD, model monitoring, lifecycle management)

•         Strong understanding of data quality, governance, and security standards, ideally within regulated environments

•         Experience working in cross-functional teams delivering end-to-end data science solutions
Strong data analysis skills with the ability to work with large, complex datasets

Desirable experience:

•         Experience within banking or financial services (e.g. lending, payments, risk, customer analytics)

•         Exposure to Generative AI / LLM frameworks and AI-driven automation use cases

•         Experience with cloud platforms such as Azure, Databricks, or AWS

•         Knowledge of AI-assisted data validation, monitoring, or model governance frameworks

•         Experience building analytics dashboards (e.g. Dash, Plotly, Power BI)

•         Strong stakeholder management skills, including exposure to senior or C-suite stakeholders

•         Experience mentoring or guiding junior data scientists

Our people 

The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career.

The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle.

We pride ourselves on;

• Providing our people with a supportive culture, rooted in our values and driven by our purpose.

• Promoting a culture of inclusion, collaboration, well-being, and learning and development.

• Providing increased agility and flexibility within our hybrid working model

• Investing in employees’ growth through ongoing training and development

• Autonomy to take ownership of projects, making decisions and demonstrating individual expertise

• Providing an transparent performance and career management experience.

Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as:

• Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction

• Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs

• Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation

Interested?

At emagine, we are committed to building an international and diverse team by embracing our different backgrounds.

If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. 

“emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin”