
Data Science Manager
3 weeks ago
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- Strategy & Leadership
Define the personalization and recommendation strategy aligned with business goals and client experience vision. - Team leadership
Lead, mentor, and grow a team of data scientists and machine learning engineers. - Cross-functional collaboration
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 recommendations
- Smart content curation
- Behavioral and predictive analytics
- Funnel optimization and conversion predictions
- Governance & Compliance
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. - Real-time Processing
Implement real-time data processing pipelines for adaptive personalization. - Data Quality
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. - Metrics & Dashboards
Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
- 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
The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.
Job Details- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industry: Investment Management
- Location: Manama, Capital Governorate, Bahrain
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