Prescience Decision Solutions (A Movate Company)
Website:
prescienceds.com
Company:
https://www.linkedin.com/company/prescience-decision-solutions
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
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.
What you'll bring
- 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.
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