Data Science Manager | Fintech
Data Science Manager | Fintech
Michael Page9-11 Years
- Posted 16 hours ago
- Be among the first 10 applicants
Job Description
- Define organizational data science strategy
- Build and scale high-impact ML solutions with executive visibility
Our client is a fintech company.
Job DescriptionThe Successful Applicant
- Lead and Develop a High-Impact Team
- Manage, mentor, and grow a team of data scientists
- Foster a culture of learning and professional development
- Guide project execution and support career progression
- Own performance reviews, compensation, and leave management
- Strategic Vision & Team Performance
- Set clear goals and expectations
- Regularly assess team performance and alignment
- Provide technical leadership and direction
- Cross-Functional Leadership
- Build strong relationships with business, product, and engineering
- Act as a strategic partner in initiatives
- Drive implementation of data science solutions
- Model Quality & Monitoring Excellence
- Define metrics and quality standards
- Oversee monitoring and alerting systems
- Ensure reliability, scalability, and impact
- Drive Cross-Functional Data Science Initiatives
- Lead initiatives on monitoring, cost reduction, and best practices
- Promote strong code management and documentation
- Planning & Strategic Initiatives
- Lead planning processes (quarterly, annual, long-term)
- Ensure project prioritization aligns with strategy
- Opportunity Identification & Value Creation
- Identify high-value opportunities with business and product
- Develop innovative solutions that drive outcomes
- Master's or Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Economics, or another quantitative discipline
- Strong research-oriented mindset and at least 9+ years of experience in data science, advanced analytics, or related fields
- Strong business acumen and ability to partner with business, product, and engineering teams
- Deep expertise in statistics, machine learning, deep learning, and optimisation algorithms
- Proven ability to design, execute, and scale A/B experiments to validate and optimize data science solutions across varied business contexts
- Advanced programming skills in Python and PySpark
- Strong track record in data pipelines, feature engineering, and scalable workflows
- Familiarity with tools and libraries like pandas, scikit-learn, TensorFlow, PyTorch, SQL, Scala, plus production-grade deployment using Docker, Databricks, and Kubernetes
- Experience in developing, implementing, and monitoring large-scale ML systems
- Demonstrated leadership in managing projects and cross-functional teams
- Experience in People management, team development, and enforcing technical best practices
- Be a part of fast paced organisation.
- Opportunities to work on cutting-edge data science projects.
More Info
Key Skills
scikit-learn
optimisation algorithms
About Company