Senior Data Scientist
Wandoo Finance Group · Riga, Latvia
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- On site
- Full-time
- €42,000 / year
- Riga, Latvia
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Job highlights
- Build and deploy machine learning models.
- Automate ML pipelines with Python and Airflow.
- Extract, prepare, and engineer data.
- Analyze data for business insights.
- Optimize product performance with data.
About the role
Senior Data Scientist
Join Wandoo Finance as a Senior Data Scientist and help challenge the status quo of the financial industry. We are a fast-growing global fintech powerhouse with operations across Poland, Spain, Romania, Peru, and Lithuania. We deliver innovative financial solutions across borders, combining tech-driven thinking with global reach. As our business grows and expands into new markets, our Data Science team faces exciting challenges: building new models, improving existing ones, and creating smarter solutions. This is where you come in. If you enjoy working with data, building machine learning models, and seeing your solutions deployed in real business environments, this role will give you the freedom, ownership, and impact you’re looking for.How You’ll Make an Impact
- Machine learning development: Build, test, and improve machine learning models to support risk, underwriting, and product optimization.
- ML pipeline automation: Develop and maintain automated pipelines for model training, feature generation, hyperparameter tuning, and deployment.
- Data extraction & preparation: Collect and structure data from multiple sources including data warehouses, production databases, third-party providers, and public datasets.
- Feature engineering: Design and evaluate statistical features, perform time-series extraction, and ensure high-quality feature selection and cleaning.
- Model evaluation & benchmarking: Generate model performance metrics, compare alternative models, and ensure robust validation practices.
- Model deployment & monitoring: Support model deployment to production environments and continuously monitor performance, stability, and drift.
- Data analysis & insights: Analyze datasets to identify patterns and provide insights that support product development, credit decisioning, and risk management.
- Product optimisation: Provide data-driven recommendations to improve underwriting policies, product performance, and decision-making processes.
- Performance dashboards: Develop and maintain dashboards for monitoring model performance, metrics, and configurable model parameters.
What You Bring to the Table
- 3+ years of experience developing machine learning models using Python.
- Time-series expertise: demonstrated experience analyzing and applying time-series data in machine learning models.
- Tech stack: strong proficiency in Python, SQL, and Docker for data processing, modelling, and deployment.
- ML pipeline automation: experience building and maintaining automated machine learning workflows using Airflow or similar orchestration tools.
- Model monitoring & maintenance: experience monitoring production models, including population stability, feature stability, and explainability techniques such as SHAP.
- Modelling expertise: hands-on experience developing models using GBM, XGBoost, and other tree-based boosting algorithms.
- Nice to have: experience working with Google Cloud, Java, or FastAPI.
What’s in It for You
- A competitive monthly salary starting from 3500 EUR gross, depending on your experience.
- Hybrid life - 3 days in the office, 2 days in your personal kingdom.
- Workcation - enjoy up to 2 weeks per year working from anywhere.
- Annual bonus & salary review once a year - because progress matters.
- Learning & growth opportunities chosen by you, approved by us.
- Birthday off - your day, your rules.
- Private gym onsite - employee-only.
- Health insurance after probation - extra coverage to keep you fully protected.
- Senior Data Scientist
- Machine Learning
- Python
- SQL
- Docker
- Airflow
- XGBoost
- Time Series Analysis
- Model Deployment
- Data Analysis
Skills & topics
- Senior Data Scientist
- Data Science
- Machine Learning
- Python
- SQL
- Docker
- Airflow
- XGBoost
- Time Series Analysis
- Fintech
How to get hired
- Tailor your resume: Highlight your 3+ years of Python ML model development, time-series expertise, and proficiency in Python, SQL, and Docker.
- Showcase ML pipeline experience: Detail your work with Airflow or similar tools for model automation and deployment.
- Demonstrate modelling skills: Emphasize your hands-on experience with GBM, XGBoost, and other tree-based algorithms.
- Prepare for technical interviews: Be ready to discuss data extraction, feature engineering, model evaluation, and monitoring techniques like SHAP.
- Highlight hybrid work fit: Mention your ability to thrive in a hybrid work environment with 3 days in office.
Technical preparation
Practice Python for ML model building.,Master SQL for data extraction.,Build ML pipelines with Airflow.,Implement XGBoost and time-series models.
Behavioral questions
Describe a challenging data science project.,How do you handle complex data issues?,Tell me about a time you improved a model.,How do you collaborate with cross-functional teams?
Frequently asked questions
- What are the key responsibilities for a Senior Data Scientist at Wandoo Finance Group?
- As a Senior Data Scientist at Wandoo Finance Group, you will be responsible for building, testing, and improving machine learning models for risk, underwriting, and product optimization. This includes automating ML pipelines, extracting and preparing data, feature engineering, evaluating models, deploying them to production, and analyzing data for business insights and product optimization. You will also develop performance dashboards.
- What technical skills are essential for the Senior Data Scientist role at Wandoo Finance Group?
- Essential technical skills include 3+ years of experience developing machine learning models using Python, strong proficiency in Python, SQL, and Docker for data processing and deployment, and expertise in time-series analysis. Experience with ML pipeline automation tools like Airflow and modeling expertise in GBM, XGBoost, and other tree-based boosting algorithms are also crucial.
- What does the hybrid work arrangement involve for this Senior Data Scientist position?
- Wandoo Finance Group offers a hybrid work model. This means you will work 3 days per week from the office and have the flexibility to work 2 days from home or your 'personal kingdom'.
- What are the benefits offered to a Senior Data Scientist at Wandoo Finance Group?
- Benefits include a competitive monthly salary starting from 3500 EUR gross, an annual bonus and salary review, up to 2 weeks of workcation per year, personalized learning and growth opportunities, a birthday off, private onsite gym access, and health insurance after probation.
- How does Wandoo Finance Group support professional growth for its Senior Data Scientists?
- Wandoo Finance Group supports professional growth through learning and development opportunities that you can choose and that will be approved by the company. They also offer an annual salary review, indicating a commitment to recognizing and rewarding employee progress.
- Is there an opportunity to work remotely with this Senior Data Scientist role?
- While the role is hybrid with 3 days in office, Wandoo Finance Group does offer a 'Workcation' benefit, allowing employees to work from anywhere for up to 2 weeks per year, providing a degree of remote flexibility.
- What is the expected salary range for a Senior Data Scientist at Wandoo Finance Group?