Job Summary
We are seeking the Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.
This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.
Responsibilities
- Define the personalization and recommendation strategy aligned with business goals and client experience vision.
- Lead, mentor, and grow a team of data scientists and machine learning engineers.
- Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
Data Science & Modeling
Design, build, and deploy ML / AI models for :Personalized investment recommendationsSmart content curationBehavioral and predictive analyticsFunnel optimization and conversion predictionsDrive experimentation and continuous model performance improvement using A / B testing and data validation techniques.Ensure model explainability, fairness, and compliance with relevant data privacy regulations.Personalization Infrastructure
Architect and oversee the personalization engine powering mobile, web, and CRM systems.Implement real-time data processing pipelines for adaptive personalization.Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.Client-Centric Data Insights
Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.Key Attributes & Competencies
Strong product sense with a deep understanding of client behavior in digital financial services.A passion for using data to improve lives and decision-making for HNW individuals.Strategic and hands-on : able to drive vision and execute technical implementation.Collaborative leadership and stakeholder communication skills.Highly analytical with strong attention to detail and data integrity.Qualifications
Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.Proven experience developing personalization and recommendation systems at scale.Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).Experience with data platforms such as Databricks, AWS / GCP / Azure, and real-time data systems (e.g., Kafka).Background in fintech, wealth management, or e-commerce personalization is a strong plus#J-18808-Ljbffr
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