Senior Data Scientist (AI/ML)

TL;DR

Senior Data Scientist (AI/ML): Designing and implementing machine learning models to predict programme delivery risks and financial overruns for a multi-million-pound change portfolio with an accent on integrating insights into dashboards and collaborating with senior stakeholders. Focus on applying advancements in AI/ML to improve risk prediction, conducting data cleaning and preprocessing, and supporting annual investment planning processes with data-driven analysis.

Location: London, United Kingdom

Company

hirify.global is a leading global financial markets infrastructure and data provider, focused on driving financial stability, empowering economies, and enabling sustainable growth.

What you will do

• Lead the design and implementation of machine learning models to predict programme delivery risks and financial overruns.
• Integrate generated insights into dashboards and visualisations (e.g., Power BI) to communicate to senior leadership.
• Collaborate with senior stakeholders to translate data needs into technical solutions.
• Conduct data cleaning, preprocessing, and integration from multiple sources.
• Contribute to the development of Group-wide delivery framework and assurance standards.
• Stay current with advancements in AI/ML and apply them to improve risk prediction.

Requirements

• Proficiency with Python or R, with experience in libraries like scikit-learn, TensorFlow.
• Experience with LLM prompt engineering for systematic feature extraction from unstructured data.
• Strong SQL and data wrangling skills, including experience with ETL processes.
• Solid understanding of statistical analysis and hypothesis testing.
• Experience building and deploying machine learning models in a business context.
• Ability to communicate technical insights to non-technical audiences through visualisation tools (e.g., Tableau, matplotlib).
• Familiarity with fine-tuning small LLM models to automate topic extraction tasks.
• Familiarity with cloud platforms (e.g., AWS), especially AWS Bedrock and Snowflake.
• Experience with enterprise programme management / PPM tools (e.g., Clarity, Planview, Asana, JIRA).
• Knowledge of SAP ERP and Workday systems data.
• Experience in financial services or programme delivery environments.

Culture & Benefits

• Be part of a team that values innovation, quality, and continuous improvement.
• Work in a collaborative and creative culture that encourages new ideas.
• hirify.global offers tailored benefits and support, including healthcare, retirement planning, and wellbeing initiatives.
• Commitment to sustainability across global business and partnership with customers on sustainability objectives.
• Paid volunteering days and involvement opportunities with the hirify.global Foundation.