Note: The job is a remote job and is open to candidates in USA. SoTalent is presenting an opportunity with a leading financial services organisation seeking a Senior Data Scientist to drive the practical application and strategic adoption of artificial intelligence, particularly Generative AI. The role focuses on identifying, developing, validating, and deploying scalable AI and machine learning solutions while translating business challenges into analytical insights, partnering with business and technology teams, and ensuring compliance with governance, risk, and regulatory requirements.
Responsibilities
- Identify and implement AI, machine learning, and Generative AI solutions that deliver measurable business value
- Evaluate emerging AI technologies, tools, platforms, and industry developments to identify opportunities for adoption
- Analyse structured and unstructured data to develop advanced analytical and predictive solutions
- Develop scalable, automated solutions using machine learning, statistical modelling, simulation, and optimisation
- Select appropriate modelling techniques based on data availability, business requirements, and intended application
- Develop, validate, and deploy models within established model development and model risk management frameworks
- Translate complex business requirements into analytical problems, models, insights, and actionable recommendations
- Partner with business and analytics leaders to identify, prioritise, and deliver high-value analytics initiatives
- Develop reusable, production-quality algorithms, code, and analytical assets
- Work closely with Data Engineering and IT teams to deploy analytical solutions into production
- Communicate complex analytical findings clearly to non-technical stakeholders, with an emphasis on business impact and recommendations
- Manage project milestones, risks, dependencies, and potential implementation issues
- Maintain awareness of emerging AI, machine learning, data science, and automation technologies
- Mentor junior data scientists and contribute to the development of data science standards and capabilities
- Ensure analytical activities comply with applicable risk, governance, regulatory, and compliance requirements
Skills
- Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Engineering, or another quantitative discipline, or equivalent relevant experience
- 6+ years of experience in predictive analytics or data analysis
- 4+ years of experience training and validating statistical, machine learning, or advanced analytical models
- 4+ years of experience using Python, R, or another dynamic scripting language for statistical analysis and AI/ML development
- Strong experience querying, preparing, and analysing structured and unstructured data using SQL, HQL, NoSQL, or similar technologies
- Experience working with structured, semi-structured, and unstructured data, including JSON/XML, text, images, and other data formats
- Strong knowledge of descriptive, diagnostic, and inferential statistics
- Advanced knowledge of supervised machine learning techniques, including regression, decision trees, random forests, support vector machines, and related methods
- Advanced knowledge of unsupervised learning techniques, including clustering and nearest-neighbour methods
- Experience developing well-documented, maintainable, and production-quality code
- Ability to understand and address regulatory and model risk considerations
- Experience communicating analytical results and recommendations to non-technical business stakeholders
- Experience mentoring junior technical or data science professionals
- Experience applying AI, machine learning, or data science to product development, business strategy, automation, or modelling
- Experience developing and implementing AI solutions across complex technology and data environments
- Experience within financial services or another highly regulated industry
- Experience working in technology, IT, or IT-adjacent environments
- Experience with Generative AI and emerging AI technologies
- Experience identifying external AI technologies and assessing their potential enterprise applications
- Background with large technology organisations or AI-focused product teams is advantageous
Benefits
- Remote eligibility within the continental U.S., subject to location and business requirements
- Relocation assistance
- Medical, dental, and vision coverage
- 401(k) and pension benefits
- Life insurance
- Paid time off and holidays
- Parental and adoption assistance
- Wellness programmes
- Paid volunteer time
- Career development and continuing education opportunities
Company Overview