Senior Data Scientist

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in United Kingdom.** This is an exciting opportunity to join a fast-growing, remote-first environment at the forefront of fraud prevention and financial risk intelligence. In this role, you will leverage advanced analytics, machine learning, and large-scale data to tackle complex fraud challenges with real-world impact. You will work closely with clients and cross-functional teams to design innovative risk solutions, optimize decision-making, and improve product performance. The position combines hands-on technical work with strategic problem-solving and stakeholder collaboration. Ideal for professionals who enjoy turning data into actionable insights, this role offers significant ownership, exposure to cutting-edge technologies, and the opportunity to influence the future of risk management on a global scale. ### Accountabilities: - Design, build, and deploy machine learning models to identify and prevent fraud across a variety of fintech and risk-related use cases. - Drive a data-first culture by promoting analytical thinking and data-driven decision-making across internal teams and client engagements. - Develop, monitor, and optimize performance metrics to measure the effectiveness of risk strategies and product outcomes. - Conduct advanced analyses to uncover insights that improve fraud prevention, approval rates, and overall customer experience. - Partner directly with clients to understand their fraud challenges and provide clear, actionable recommendations based on data insights. - Build automated dashboards and self-service reporting solutions using business intelligence tools. - Collaborate closely with engineering teams to productionize models, improve scalability, and enhance data infrastructure. - Work cross-functionally with product, business, and engineering stakeholders to translate business requirements into impactful analytical solutions. - Support the development of innovative risk mitigation strategies while balancing security, efficiency, and user experience. ## Requirements: - 7+ years of experience in data science, quantitative modeling, analytics, or related data-focused roles, ideally within fraud prevention, financial risk, or fintech environments. - Strong hands-on expertise in Python and/or R, along with advanced SQL skills for large-scale data analysis. - Experience with machine learning model development, deployment, and performance monitoring in production environments. - Proficiency with BI and visualization tools such as Tableau, Sigma, Metabase, or similar platforms. - Strong analytical skills, including experience with exploratory data analysis, cohort analysis, and extracting insights from complex datasets. - Ability to communicate technical findings effectively to both technical and non-technical audiences, including external stakeholders and clients. - Excellent critical thinking, problem-solving, and decision-making capabilities with a proactive and results-oriented mindset. - Experience collaborating within cross-functional, globally distributed teams. - Familiarity with big data technologies such as Spark is considered an advantage. - Strong English communication skills, both written and verbal. ## Benefits: - Competitive compensation package including cash compensation and equity participation. - Remote-first working environment with the flexibility to work from anywhere. - Flexible paid time off and additional year-end holiday breaks. - Home office setup allowance to support your ideal remote workspace. - Company-provided MacBook Pro and necessary equipment. - Monthly meal allowance and social activity stipend. - Annual health and wellness budget. - Annual learning and professional development stipend. - Opportunity to work alongside world-class professionals in a high-growth international environment. - High levels of autonomy…