Senior Data Scientist - Personal Onboarding Verification
Senior Data Scientist - Personal Onboarding Verification
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Job Description
Were looking for a Senior Data Scientist to join our growing Personal Onboarding Verification Team in Tallinn.
This role is a unique opportunity to understand the customer KYC domain how we mitigate risk leveraging data science techniques and at the same time how to provide our customers with the seamless experience they deserve. What you build will have a direct impact on Wises mission and millions of our customers.
About the Role:
Our personal onboarding verification team is responsible for the processes related to KYC (Know Your Customer) checks performed on non-business customers during onboarding. Within the team our data scientists implement machine learning models and systems that support ID verification of our non-business customers.
We are looking for someone to own training iteration and management of our machine learning models life cycle and be responsible for the overall training testing model performance analysis and research further modifications to our KYC systems.
Heres how youll be contributing:
- Actively participate in planning and ideation of data science projects in collaboration with integrated cross-functional teams
- Uncover opportunities and provide expertise on applying machine learning/data science techniques
- Clearly articulate the value limitations and potential impact of data science initiatives to stakeholders with diverse levels of understanding
- Manage and create large image and tabular datasets related to KYC processes
- Iterate on our deep learning image models
- Measure and optimize performance of our machine learning models
- Maintain and develop a large Python codebase with industry-standard best practices
- Keep up-to-date with the rapidly developing field of machine learning and research how to incorporate new ideas on systems that benefit our customers directly in production
- Research the domain of identity verification to learn the best ways to prevent criminal activit
- Provide mentorship to junior team members promoting their growth in data science skills and adherence to industry standards
Qualifications :
- Proven experience in Python engineering
- Proven experience managing the entire life cycle of deep learning models from ideation and data preparation to training evaluation deployment and monitoring
- Experience with statistical analysis and hypothesis testing
- A strong product mindset with the ability to work independently in a cross-functional and cross-team environment
- Good communication skills and ability to explain complex ideas to non-technical individuals
- Exceptional problem-solving abilities including the ability to clarify ambiguous problem statements and develop effective solutions
Some extra skills that are great (but not essential):
- Familiarity with computer vision and deep learning image classification
- Knowledge of KYC processes
Additional Information :
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
