Data Scientist: AI/ML for Finance (Python, SQL) | Hybrid

Methodius Ltd; Ulster; Hybrid; EUR 85,000 - 110,000; Full time

Benefits offered by this job

Annual Bonus Scheme

Contributory Pension

Private Medical Insurance

Life Assurance & Long-Term Disability

Employee Assistance Programme

22 days annual leave + 10 publichols

Relocation package

Continuous Learning & Development

Access to extensive training & cert.资源

Lunch & Learn sessions

Company discounts

On-site parking

Bike-to-work scheme

Job summary

Methodius Ltd. is seeking a Data Scientist with expertise in Marketing and Distribution Analytics within financial services.

The role focuses on applying AI/ML and advanced analytics to enhance customer targeting, campaign effectiveness, and distribution performance in regulated data-rich environments. The candidate will build AI/ML models, deploy analytics on AWS/Azure, and deliver actionable insights through Power BI.

Qualifications

• 5+ years of Data Science/Marketing Analytics experience.
• Exposure to Financial Services domains and cloud analytics platforms.
• Strong Python and SQL skills with ML techniques.

Responsibilities

• Develop AI/ML models for customer segmentation, propensity modelling, predictive analytics, and lead scoring.
• Build and maintain analytics solutions using AWS and Azure services (SageMaker, Azure ML, Databricks).
• Create scalable datasets and reusable Python/SQL code.
• Deliver insights and dashboards in Power BI for audience/segment analysis and campaign performance.
• Collaborate with marketing, distribution, sales, technology, and data engineering teams.
• Communicate analytical findings clearly to technical and non-technical stakeholders.

Skills

Python

SQL

Power BI

AI/ML

Marketing Analytics

Cloud platforms

Tools

SageMaker

Azure ML

Databricks

Job description

Methodius Ltd. is seeking a Data Scientist with expertise in Marketing and Distribution Analytics within financial services.

The role focuses on applying AI/ML and advanced analytics to enhance customer targeting, campaign effectiveness, and distribution performance in regulated data-rich environments. The candidate will build AI/ML models, deploy analytics on AWS/Azure, and deliver actionable insights through Power BI.