Lead Data Scientist
Role details
Job location
Tech stack
Job description
Eastnets is seeking a Lead Data Scientist to drive the design, development, and deployment of production-grade AI and machine learning solutions across financial crime, compliance, and payments products. This is a senior leadership role focused on building scalable AI capabilities, managing a data science team, and shaping the company's AI strategy within a regulated fintech environment.
Key ResponsibilitiesStrategy, Vision & Leadership
- Lead and mentor a team of Data Scientists and Junior Data Scientists
- Define and execute the company-wide AI and data science strategy
- Align AI initiatives with product and business roadmap priorities
- Champion Eastnets' AI leadership in financial crime and compliance markets
- Translate business and regulatory challenges into AI-driven solutions
- Engage with customers, partners, and internal stakeholders
Advanced Data Science & AI
- Develop and deploy machine learning models for risk prediction and compliance
- Build scalable, production-grade AI systems for customer-facing solutions
- Lead full ML lifecycle: feature engineering, training, deployment, monitoring
- Apply NLP, predictive modeling, and advanced analytics techniques
- Explore LLMs and generative AI for next-generation solutions
- Ensure model performance, scalability, and continuous improvement
Product & Engineering Collaboration
- Work closely with engineering and product teams to integrate AI into platforms
- Support operationalisation of ML systems in production environments
- Drive efficiency and user experience improvements using AI
- Ensure secure, compliant, and responsible AI implementation
Analytics, Insights & Reporting
- Present insights and recommendations to executive leadership
- Measure business impact of AI initiatives using key performance indicators
- Provide data-driven inputs for product and operational decision-making
- Monitor product performance and contribute to financial analysis
Governance, Risk & Compliance
- Ensure compliance with data privacy, security, and regulatory standards
- Maintain model transparency and responsible AI practices
- Safeguard sensitive financial and customer data
- Adhere to internal policies including ethics, security, and governance frameworks
Additional Responsibilities
- Collaborate across departments to align AI initiatives with business goals
- Conduct market and customer research to identify AI opportunities
- Build relationships with vendors and external partners
- Participate in company-wide strategic initiatives
- Stay updated on emerging AI and ML technologies
Requirements
- Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or related field
- 7+ years of experience in data science or applied machine learning
- Experience delivering production-grade ML systems at scale
- Strong background in regulated industries (fintech, financial services, or similar)
- Expertise in predictive modeling, NLP, and AI systems
- Familiarity with LLMs and generative AI technologies
- Experience managing full ML lifecycle end-to-end
- Strong programming skills in Python, R, SQL (or similar)
- Proven leadership and team management experience
- Strong communication skills across technical and non-technical stakeholders
- Ability to manage multiple complex projects simultaneously
Preferred / Nice-to-Have
- Experience in anti-financial crime or compliance analytics
- Exposure to large-scale distributed computing systems
- Experience working in global or multi-stakeholder environments
- Knowledge of AI governance frameworks and responsible AI practices
Benefits & conditions
- Competitive salary and benefits package
- Senior leadership role with strategic and technical impact
- Opportunity to lead AI transformation in a global fintech environment
- Exposure to large-scale financial institutions and complex regulatory systems
- Career growth in a fast-scaling regtech organisation
- Collaborative and international working culture
Job Types: Full-time, Permanent
Pay: From £56,679.08 per year