Data Scientist-Data Science & Artificial Intelligence in Bothwell

Data Scientist-Data Science & Artificial Intelligence in Bothwell

Bothwell Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Use machine learning to transform data into actionable insights and solve real-world problems.
  • Company: Join the Bermuda Monetary Authority, a key player in financial regulation.
  • Benefits: Gain exposure to international regulatory issues and diverse work experiences.
  • Other info: Opportunity for career growth and involvement in special projects.
  • Why this job: Make an impact with cutting-edge AI technology in a dynamic environment.
  • Qualifications: Master's degree in a relevant field and extensive experience in machine learning.

The predicted salary is between 63000 - 77000 £ per year.

The Bermuda Monetary Authority (Authority or BMA) is seeking the services of a skilled and capable individual to work as a Data Scientist in our Data Science and Artificial Intelligence Department. Reporting to the Deputy Director, the Data Scientist will be responsible for using machine learning, supervised and unsupervised learning (or other computer automation) techniques to assist the BMA in effective and efficient decision-making in the fulfilment of its prudential responsibilities.

This is a key role for the Authority and the postholder will be responsible for but not limited to:

  • Translating business needs into requirements suitable for framing Machine Learning (ML) solutions.
  • Creating ML Models to uncover hidden and complex patterns, making predictions about future events and transforming raw data into actionable insights. Models may include predictions and forecasts, text analytics and Natural Language Processing (NLP), as well as unsupervised tasks such as anomaly detection.
  • Researching, proposing and prototyping ML models to demonstrate and provide business value to solve specific business problems.
  • Designing, developing and implementing ML model experiments using a scientific approach to configure, organise, log and reproduce experiments.
  • Designing, developing, implementing, and deploying ML pipelines to deploy scalable ML solutions that are sustainable in an enterprise environment.
  • Designing, developing and implementing end-to-end Business Intelligence (BI) solutions with data semantic models and self-service capabilities, including appealing and effective dashboards and visualisations.
  • Developing assessments and monitoring procedures for ML models.
  • Designing and performing meaningful exploratory data analysis over different data sets.
  • Presenting and communicating information and insights using advanced and effective data visualisation techniques.
  • Designing, developing and implementing modern and scalable data management platforms (including ‘Modern Data Lake’ and ‘Enterprise Data Warehouse’ solutions as well as consolidated and modern data pipelines (extract, transform, load) to extract, aggregate and manipulate data from various sources implementing and supporting data operation pipelines.
  • Performing other related work and special projects as assigned by management in accordance with competencies normally associated with the post.

This position requires a proven technical and business background, therefore, the postholder must have:

  • A master’s degree or equivalent qualification in computer science, mathematics, statistics or related field from a recognised institution or professional body.
  • A minimum of seven (7) years of related experience developing machine learning models, including deep learning models of which at least three (3) years should be at a senior level working within the financial services industry or financial regulatory body.
  • Strong experience in data science and advanced data analytics using statistical computer languages (i.e., R, Python Stack, SQL) to manipulate data and draw insights from large data sets.
  • The capability to perform statistical analysis, quantitative analysis, multivariate calculus and linear algebra.
  • Proficient experience deploying ML implementations in an enterprise setting.
  • Proven skills with Text Analytics, NLP and intelligent document processing (IDP) for modelling and processing from the creation of the dataset to the final model in production.
  • The competency to conduct data pre-processing and manipulation skills, as well as feature engineering.
  • Solid leadership skills to develop strategic data science initiatives, project development and management.
  • Skilled in data storytelling, visualization, analysis and critical thinking with strong interpersonal and communication skills.
  • Ability to manage multiple priorities in a fast-paced environment.

The Bermuda Monetary Authority is the integrated regulator of Bermuda's financial services sector. We offer the opportunity for broad exposure to international regulatory issues, special projects and a variety of work experiences.

Applications for this position must be received no later than 16 November 2026.

Bermuda Monetary Authority is an Equal Opportunity Employer.

BMA House | 43 Victoria Street, Hamilton HM 12 | Professionalism, Integrity, Accountability, Adaptability, Collaboration

Data Scientist-Data Science & Artificial Intelligence in Bothwell employer: Bermuda Monetary Authority

The Bermuda Monetary Authority is an exceptional employer, offering a dynamic work environment that prioritises financial stability and public service. With a strong emphasis on professional development, employees are encouraged to grow their skills through collaboration with diverse stakeholders and innovative projects. Located in the heart of Bermuda, the Authority provides a unique opportunity to contribute to meaningful regulatory frameworks while enjoying a supportive and inclusive workplace culture.

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Contact Details:

Bermuda Monetary Authority Recruitment Team

StudySmarter Expert Advice🤫

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We think you need these skills to ace Data Scientist-Data Science & Artificial Intelligence in Bothwell

Machine Learning
Supervised Learning
Unsupervised Learning
Natural Language Processing (NLP)
Data Visualisation
Statistical Analysis
Python

Some tips for your application 🫡

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