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Lead Data Scientist at Vertor Consulting

Position Lead Data Scientist
Posted 08 Jun 2026
Expired 08 Jul 2026
Company Vertor Consulting
Location Letterkenny | IE
Job Type Full Time

Job Description:

Latest job information from Vertor Consulting for the position of Lead Data Scientist. If the Lead Data Scientist vacancy in Letterkenny matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Vertor Consulting for the position of Lead Data Scientist below matches your qualifications.

Sector: Financial Services (Asset Management, Life Insurance & Retirement)

Location: Ireland (Hybrid 1– 3 days on-site per week)

Contract: Permanent, Full-Time

Role Purpose

The Lead Data Scientist will own end-to-end delivery of marketing and distribution analytics within the Financial Services practice. The emphasis is on measurable commercial impact, including:

  • Improving conversion through advanced customer segmentation
  • Driving distribution decisions via propensity and predictive models
  • Quantifying customer lifetime value across products and channels
  • Turning insight into clear commercial trade-offs and decisions

The role operates at the intersection of data science, commercial strategy, and regulated model governance, requiring both technical depth and the ability to communicate clearly in a Financial Services environment subject to model-risk scrutiny.

Key Responsibilities 1. Analytical Leadership
  • Lead the design, development, and deployment of advanced data science models across segmentation, propensity scoring, predictive analytics, and lifetime value modelling
  • Translate ambiguous commercial questions into structured, solvable analytical problems
  • Own the Marketing & Distribution Analytics roadmap, prioritising work based on commercial impact and stakeholder needs
  • Ensure outputs are decision-oriented rather than purely descriptive analytics
2. Technical Delivery
  • Build and deploy production-grade models using Python and SQL
  • Operate across cloud environments including Amazon Web Services (AWS) and Microsoft Azure (Azure)
  • Develop clear, decision-focused reporting layers using Microsoft Power BI, ensuring insight is accessible to non-technical stakeholders
  • Integrate intent and signal-based data sources (e.g. 6sense, Bombora, or equivalents) into marketing and distribution models
  • Establish and enforce standards for model documentation, reproducibility, validation, and version control
3. Stakeholder Partnership
  • Partner with senior leaders across Marketing, Distribution, Product, and Commercial functions
  • Communicate complex analytical outcomes in a clear, business-focused manner for executive audiences
  • Provide credible challenge to assumptions and shape commercial strategy through evidence-based insight
  • Act as the primary technical voice in planning and decision forums
  • Mentor and develop a small team of data scientists
  • Set technical standards and ensure consistency in modelling approaches and outputs
  • Review analytical work for technical robustness, commercial alignment, and governance compliance
  • Contribute to hiring, onboarding, and capability development within the analytics function
5. Governance & Controls
  • Ensure all models comply with internal model risk management, audit, and regulatory requirements
  • Maintain alignment with data privacy, governance, and ethical AI standards
  • Support model validation processes in collaboration with risk and compliance teams
  • Ensure transparency and explainability of all deployed models in line with Financial Services expectations
  • 8–10 years’ experience in Data Science, Advanced Analytics, or Marketing Analytics
  • Significant exposure to Financial Services environments
  • Proven track record of delivering production-grade ML/AI models that have driven measurable commercial outcomes
  • Strong hands-on expertise in Python and SQL across full model lifecycle
  • Experience deploying solutions across AWS and Azure
  • Practical use of Power BI for decision support (not just visual reporting)
  • Familiarity with intent/signal platforms such as 6sense, Bombora, or equivalents
  • Experience mentoring or leading junior data scientists and establishing technical standards
  • Direct experience in Asset Management, Life Insurance, or Retirement sectors
  • Exposure to model risk governance, validation, and regulatory oversight frameworks
  • Experience working with MarTech, CRM, CDP, or distribution platform data ecosystems
  • Postgraduate qualification in a quantitative discipline (Statistics, Computer Science, Mathematics, Engineering, or related field)
  • Commercial judgement: Ability to translate analytical outputs into business decisions with measurable impact
  • Technical credibility: Deep expertise across modern data science tools and methods, with authority to set technical standards
  • Communication: Clear articulation of complex insights to senior, non-technical stakeholders
  • Leadership: Commitment to developing others and shaping a growing analytics function
  • Pragmatism: Ability to balance advanced modelling with regulatory, operational, and commercial constraints
Additional Information

This is a permanent role based in Ireland with a hybrid working model (1-3 days on-site per week). The organisation offers strong career progression opportunities within a globally recognised business and a Financial Services practice that continues to invest heavily in its data and analytics capability.

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Job Info:

  • Company: Vertor Consulting
  • Position: Lead Data Scientist
  • Work Location: Letterkenny
  • Country: IE

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Lead Data Scientist at the office Letterkenny above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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