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About the Role
We are seeking a Senior Data Scientist to design, evaluate, and industrialize ML and AI solutions with high impact. You will collaborate closely with the Data team to leverage reliable data and deploy solutions into production.
Responsibilities
- Design, train, and industrialize machine learning models for fraud scoring, proactive customer issue detection, segmentation, anomaly detection, OCR, and document categorization.
- Define robust evaluation methodologies and design reliable, reproducible, and documented training and deployment pipelines.
- Design and integrate internal or external APIs for data services (speech-to-text, anonymization, OCR) reliably and scalably with backend teams.
- Collaborate with Product, developers, Fraud, Compliance, and Operations teams; share best practices and make ML/IA topics accessible to partner teams.
- Monitor models and micro-services throughout their lifecycle; implement alerts for proactive incident detection and data/model drift; maintain projects by identifying improvements and evaluating usage, relevance, and impact.
- Explore and evaluate new machine learning and generative AI approaches; create prototypes for identified product or operational needs.
- Actively participate in the Data team's activities, share knowledge, and contribute to cross-functional data engineering, analysis, or data platform improvement topics as needed.
Requirements
- Master's degree in data science, engineering, or equivalent.
- At least 5 years of experience in data science or machine learning, with proven experience deploying models or AI solutions for concrete use cases.
- Proficiency in classical machine learning fundamentals: model selection and evaluation, statistics, experimentation, metrics, and performance monitoring.
- Hands-on experience in MLOps: versioning, deployment, monitoring, and maintenance of models in production.
- Autonomous, rigorous, and capable of bridging ambiguous business problems with measurable data solutions.
- Seeking strong exposure to business challenges, close proximity to company management, and ability to communicate with senior executives.
Skills
- Tensorflow
- scikit-learn
- Python
- FastAPI
- Docker
- Kubernetes
- GitHub CI
- Prometheus
- Grafana
- GCP
- BigQuery
- MariaDB
- PostgreSQL
- Gemini
- Mistral
- Pydantic AI
- RAG
- Codex
- Metabase
- Airflow
- Vertex AI
- DBT
- SQL
- Machine Learning
- AI
- MLOps
- Data Engineering
- Data Analysis
- Generative AI
- LLMs
- Agentic systems
Location
- Remote
- Europe
Work Type
- Full-time
Experience Level
- Senior
Education Level
- Master's degree
About the Company
- Lydia Solutions launched the Lydia app in 2013, a popular service for peer-to-peer payments and online fundraising, aiming to simplify payments securely via phone.
- In 2024, Lydia Solutions launched Sumeria, offering online banking services for individuals with the same focus on user-friendliness.
Equal Opportunity
- Diversity, equity, and inclusion are key values for team well-being and performance, integral to our culture, identity, and collective success.
- Our premises are accessible to people with reduced mobility, and we strive to ensure a work environment adapted to everyone. If you require specific accommodations for the recruitment process, please inform us.
- At Lydia Solutions, we are proud to guarantee equal opportunities, without distinction based on age, ethnic origin, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions or related medical conditions), sexual orientation, gender identity, gender expression, physical characteristics (height, weight...), disability status, genetic information, or other legally protected characteristics.