Lead Data Scientist with Python
Methodius IT RecruitmentPosted 18 hours ago
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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 [email protected]