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!
Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
Senior Data Scientist leading data science initiatives impacting global operations across various business units. Collaborating with cross - functional teams to architect scalable machine learning solutions in cloud environments.
Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.
Data Scientist role at Airbus developing AI/Data Science solutions for aircraft systems. Focused on value creation and collaboration with engineering teams for embedded computer vision applications.
Data Scientist II using data science techniques for actionable insights. Working with cross - functional teams to resolve data issues and innovate analytical solutions.
Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting - edge technologies in generative AI and machine learning.