Data Scientist - Python/SQL

Methodius IT Recruitment; Ulster; Híbrido; EUR 85 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

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

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

Power BI

AI/ML

Marketing Analytics

Cloud platforms

Ferramentas

SageMaker

Azure ML

Databricks

Descrição da oferta de emprego

My client is seeking a Data Scientist with experience in Marketing and Distribution Analytics within Financial Services/ Asset Management. The role focuses on applying AI/ML and advanced analytics to improve customer targeting, campaign performance, and distribution effectiveness in regulated, data-rich environments.

Key Responsibilities

• Develop and apply AI/ML models for customer segmentation, propensity modelling, predictive analytics, and lead scoring.
• Build, deploy, and maintain analytical solutions using AWS and Azure services, including SageMaker, Azure Machine Learning, and Databricks.
• Create scalable analytical datasets and reusable code using Python and SQL.
• Deliver insights and dashboards in Power BI to support:
• Audience and segment analysis
• Campaign and distribution performance
• Interpretation of model outputs for business stakeholders
• Collaborate with marketing, distribution, sales, technology, and data engineering teams to improve targeting, engagement, and conversion outcomes.
• Communicate analytical findings clearly to both technical and non-technical audiences.

Skills & Experience

• 5+ years experience in Data Science, Marketing Analytics, or a related analytical role, with good exposure to Financial Services and cloud-based analytics platforms.
• Strong hands-on experience with Python, SQL, and machine learning techniques.
• Experience with Power BI and data visualisation for business decision-making.
• Familiarity with AI-driven lead scoring and intent platforms such as 6sense, Bombora, or similar tools.
• Understanding of Financial Services data, including customer, advisor, product, and transactional datasets.
• Knowledge of data governance, privacy, and model risk considerations within regulated environments.
• Ability to balance technical depth with commercial awareness and stakeholder engagement.

Preferred Experience

• Experience in Asset Management, Insurance, Retirement, or advisor/intermediary-led distribution models.
• Exposure to cloud-based analytics and model deployment practices in AWS and Azure environments.

Salary dependent on candidate experience.

Benefits:

• Annual Bonus Scheme
• Contributory Pension
• Private Medical Insurance
• Life Assurance & Long-Term Disability
• Employee Assistance Programme
• 22 days annual leave + 10 public holidays
• Relocation package
• Continuous Learning & Development
• Access to extensive training & certification resources
• Lunch & Learn sessions
• Additional perks including company discounts, on-site parking, and bike-to-work scheme

Based in Letterkenny, Co. Donegal. Hybrid (2-3 days onsite per week). Candidates must be eligible to work in Ireland/EU.