The Role
Develop machine-learning and analytical solutions for loyalty programs, including segmentation, propensity, recommendation, uplift, optimization, experimentation, and causal-impact measurement. Translate business questions into actionable recommendations, establish success metrics, partner cross-functionally on production-ready solutions, and support loyalty data platforms and products. Ensure data quality, reproducibility, governance, and responsible customer-data use while communicating findings to technical and executive audiences.
Summary Generated by Built In
What you'll do
- Develop analytical and machine-learning solutions to improve member acquisition, engagement, retention, and lifetime value.
- Build segmentation, propensity, recommendation, uplift, and optimization models for loyalty use cases.
- Design and analyze experiments, including test-and-control frameworks and causal-impact measurement.
- Translate business questions into rigorous analytical approaches and actionable recommendations.
- Partner with product managers, engineers, analysts, marketers, and other data scientists to define priorities and deliver production-ready solutions.
- Establish success metrics and measurement frameworks for loyalty initiatives.
- Communicate findings clearly to technical and non-technical audiences, including senior stakeholders.
- Promote high standards for data quality, reproducibility, model governance, and responsible use of customer data.
- Contribute to the evolution of the organisation's loyalty data platform and data products.
- Significant experience in data science, advanced analytics, or a closely related quantitative field.
- Strong programming skills in Python and SQL.
- Practical experience with statistical modelling, machine learning, experimentation, and causal inference.
- Experience working with customer, marketing, CRM, membership, rewards, or personalization data.
- Ability to work with large-scale, complex, and evolving data environments.
- Strong product sense and the ability to connect analytical outputs to customer and commercial outcomes.
- Excellent written and verbal communication skills.
- A collaborative, pragmatic approach and a track record of delivering outcomes through cross-functional partnerships.
Requirements
Preferred qualifications
- Experience with loyalty, travel, marketplaces, subscriptions, rewards, or customer lifecycle analytics.
- 8+ years of experience in a similar analytical role.
- Experience developing models that influence customer journeys or marketing decisions.
- Experience taking models from prototyping through deployment, monitoring, and iteration.
- Graduate degree in statistics, computer science, operations research, economics, mathematics, or a related quantitative discipline.
Benefits
· Competitive salary and performance-based bonuses.
· Comprehensive insurance plans.
· Collaborative and supportive work environment.
· Chance to learn and grow with a talented team.
· A positive and fun work environment.
Skills Required
- Significant experience in data science, advanced analytics, or a closely related quantitative field
- Strong programming skills in Python and SQL
- Practical experience with statistical modeling, machine learning, experimentation, and causal inference
- Experience working with customer, marketing, CRM, membership, rewards, or personalization data
- Ability to work with large-scale, complex, and evolving data environments
- Strong product sense and ability to connect analytical outputs to customer and commercial outcomes
- Excellent written and verbal communication skills
- Collaborative, pragmatic approach and track record of delivering outcomes through cross-functional partnerships
- Experience with loyalty, travel, marketplaces, subscriptions, rewards, or customer lifecycle analytics
- 8+ years of experience in a similar analytical role
- Experience developing models that influence customer journeys or marketing decisions
- Experience taking models from prototyping through deployment, monitoring, and iteration
- Graduate degree in statistics, computer science, operations research, economics, mathematics, or a related quantitative discipline
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The Company
What We Do
Prescience is a Danish SaaS company that provides collaborative supply-chain execution software for industrial businesses. Its platform helps customers and suppliers plan production, track manufacturing progress, monitor execution, manage capacity, improve quality assurance, collect as-built documentation, and coordinate inventory and inbound and outbound logistics. By integrating supplier data in real time, Prescience delivers visibility, risk detection, and operational control across dispersed global supply chains.
