Lead Data Scientist

Jobtailor; Dublin; On-site; EUR 120,000 - 170,000; Full time

Job summary

Jobtailor in Dublin, Ireland, seeks a senior data scientist leader to drive pricing analytics and strategy. You will lead data science initiatives, design experiments, and deploy models to advise pricing decisions across the business.

The role requires strong leadership, deep analytical skills, and experience in pricing or pricing strategy within a large organization. Collaboration with commercial, finance, and product teams is essential.

Qualifications

• Experience leading a data science function in a customer-facing domain.
• Proficiency in Python, SQL, Excel, Tableau.
• Strong analytical and quantitative skills.
• Experience with experiment design and A/B testing.
• Excellent documentation and reporting skills.
• Excellent verbal and written communication.
• Ability to manage multiple data assets and meet deadlines.
• Collaborative with cross-functional teams.
• Ideally pricing strategy experience in a large business.

Responsibilities

• Explore and mobilise data science applications for pricing.
• Deploy statistical analysis to identify pricing trends.
• Coordinate experiments and ensure robust trial outputs.
• Build autonomous systems to monitor price experiments.
• Maintain documentation of experiments and results.
• Lead preparation and present findings to stakeholders.
• Collaborate with commercial, finance and product teams.
• Lead senior data scientists and develop their skills.

Skills

Data science leadership

Python

SQL

Excel

Tableau

Experiment design

Statistical modelling

Communication

Cross-functional collaboration

Pricing knowledge

Job description

Responsibilities

• Explore & mobilise new data science applications for pricing, including but not limited to delivery of pricing models that harness predictive capabilities to advise pricing strategy decisions.
• Deploy sophisticated statistical analysis and data manipulation techniques to analyse experimental data, identify trends and derive relevant conclusions.
• Coordinate set up and definition of experiments, deploying statistical techniques and processes, ensuring robust trial outputs that yield actionable insights.
• Build autonomous systems to monitor high volumes of price experiments & strategies, tracking critical metrics vs expectations and surfacing to the wider pricing team.
• Maintain comprehensive documentation of experimental builds, methodologies, and results to ensure transparency and reproducibility.
• Lead preparation and present findings to interested parties, clearly communicating the implications of pricing experiments on business strategies.
• Work proactively with cross‑functional teams, including commercial, finance and product development, to align data insights with business objectives.
• Lead senior data scientists, coordinating their respective focus areas and workloads as well as developing them personally to grow their careers.

Requirements

• Experienced leader in data science with track record leading a data science function, ideally within a customer‑focussed or commercial domain.
• Proficiency in multiple advanced analytics and data manipulation tools (e.g., Python, SQL, Excel, Tableau)
• Strong analytical and quantitative skills, with a proven track record to interpret complex data sets
• Experience with experiment design and parameter definition (sampling, control vs. test groups, front‑end product changes)
• Experience in sophisticated statistical modelling techniques (e.g. regression, significance testing, clustering, A/B testing, time series analysis)
• Excellent documentation skills, with attention to detail and the ability to build clear and concise reports.
• Excellent verbal and written communication skills, with the ability to present complex information clearly to diverse audiences
• Strong problem‑solving abilities and a proactive approach to finding opportunities for improvement
• Ability to manage and own multiple data and analytics assets simultaneously and to meet deadlines in a fast‑paced environment
• Collaborative outlook, able to build strong and effective relationships both within the Pricing team and across the business at all levels
• Ideally, experience working on pricing and/or pricing strategy projects in a large business setting.