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A leading RegTech/FinTech company in Derry/Londonderry is seeking an experienced Principal Machine Learning Scientist to lead and mentor its Data Science team. This role requires a strong background in data science, AI, and teamwork. Candidates must have 10+ years in the field, with 5 years in a leadership role, and be proficient in Python, R, and relevant machine learning frameworks. The company offers a hybrid working model and a commitment to continuous learning and development.
Derry/Londonderry
We are looking for an experienced Principal Machine Learning Scientist to join our Data Science team on a permanent basis, based FinTrU's offices in Derry/Londonderry. This is an exciting opportunity to be part of an exciting team using AI/ML principles and practices, driving innovation and delivering actionable insights that support our business objectives.
FinTrU is an award-winning RegTech/FinTech company, creating technology-enabled solutions for leading global financial institutions. Across our UK and EU offices, we deliver the highest standard of service to both our clients and our 1400 employees. Our philosophy of continued learning and development, an unwavering commitment to diversity - in all its forms - and our culture continue to make us a workplace of choice.
You should apply if you have:
This is an opportunity to work on:
The full job description can be viewed here
We reserve the right to enhance or amend the shortlisting criteria at any time during the process
Please note this role is Hybrid working, the successful candidate will currently be required to be in the office 2 days per week. For this reason we are not considering fully remote applications, or those based beyond a reasonable commute to the office in Derry.
This requisition is only for those resident, or seeking to be resident, in Northern Ireland. If you are based in Republic of Ireland, please apply to the vacancy for Letterkenny
#FinTrUNI
More than 9 years
Full Time
Permanent
Annual salary review
Discretionary performance-related bonus scheme
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