Lead Data Scientist with Python

My client is seeking an experienced 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.

For more information, please contact David Coyle at 01 635 1748 or email david@methodius.com