Data Scientist at PulseRise Technologies driving data - informed decisions in crypto payments infrastructure. Collaborating with product leaders and CFO for insights on user journeys and transaction flows.
About the role
- Senior Data Scientist leveraging data science expertise to improve Mable's healthtech services. Responsible for developing machine learning models and optimising tools with generative AI solutions.
Responsibilities
- Lead the research and development of state-of-the-art data science solutions to address emerging business needs and market expansion opportunities.
- Developing cutting-edge AI technologies, with the intent to scale and ‘productise’ across the organisation
- Conduct exploratory analysis to identify trends, insights, and verify hypotheses to identify not only what is happening, but why it is happening and what it means
- Analyse A/B tests to evaluate the effectiveness of new features and processes
- Communicate complex technical concepts and insights to non-technical stakeholders effectively
- Partner with product managers, software engineers, data/ML engineers and UX designers to to operationalize and enhance production-grade data science services
- Create and maintain dashboards to present insights and performance metrics
- Ensure all data analysis adheres to privacy and security policies
Requirements
- 4+ years of industry experience in providing data science solutions
- Strong understanding of statistical modelling and machine learning techniques
- Worked on projects leveraging traditional AI, Generative AI, and Agentic AI
- Familiarity with various aspects of Generative AI, including context engineering, Retrieval-Augmented Generation (RAG), agent orchestration and evaluation
- Experience with modern Agentic AI Frameworks such as LangChain and LangGraph
- Design and implement AI safety guardrails to ensure trustworthy, compliant model behaviour in production
- Experience with version control and CI/CD pipelines such as GitHub.
- Proficiency in ML model development and analytics tools such as Python
- Familiarity with data visualisation and data storytelling
- Initiative and ownership to deliver work with autonomy
- Collaboration skills to partner effectively with multiple stakeholders
- A "solutions mindset" of natural curiosity and a strong motivation to solve problems, no matter how complicated or ambiguous they might be
- Comfort with ambiguity, a fast-paced environment, and rapid business growth
- Above all else, a "can-do" attitude is the most important qualification!
Benefits
- Power your career ⚡️
- Access parental leave 👶
- Work with flexibility 🏠
- Flexi Leave Days 🌴
- Take a floating public holiday 🫶🏾
- Be rewarded 🏆
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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