Technology Portfolio Reporting & Analytics Lead owning reporting and analytics for executive insights at Syneos Health. Collaborating across functions to drive performance and accountability in technology investments.
About the role
- Data Scientist optimizing AI systems for data engineering at Matillion. Collaborating with teams to enhance AI-powered data solutions.
Responsibilities
- Experiment & Optimise: Run structured evaluations to improve performance, speed, and cost-efficiency of large language models (LLMs).
- Empower Through AI: Enhance our agentic copilot system to more accurately generate data pipelines from natural language inputs.
- Advance AI Evaluation: Evolve our testing frameworks to better measure quality, reliability, and usability of generative outputs.
- Drive Real Impact: Collaborate with engineering teams to expand the reach of AI features and prepare for AI-to-AI interaction scenarios.
- Explore & Innovate: Stay ahead of research trends and propose proof-of-concept ideas that could level up our product.
- Mentor & Educate: Share your expertise to raise the collective intelligence of the team and build a world-class AI capability at Matillion.
Requirements
- Deep AI Knowledge: MSc, PhD, or equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals.
- Toolbelt Ready: Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API.
- Prompt-Savvy: Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems.
- Experimentation First: Experience (or interest) in fine-tuning, instruction tuning, RAG architectures, or guardrail implementation.
- Collaborative Communicator: Able to bridge the gap between research and product, working across teams to translate ideas into features.
- Curious & Agile: Thrives in fast-paced, changing environments and eager to keep up with the latest advancements in AI and ML.
- Preferable: Knowledge of Java and/or Software Development
Benefits
- Company Equity
- 30 days holiday + bank holidays
- 5 days paid volunteering leave
- Health insurance
- Life Insurance
- Pension
- Access to mental health support
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist specializing in Credit Risk modeling at HupData. Developing statistical models and insights to enhance credit policies and risk strategies.
Finance Data and Analytics Executive leading data initiatives and cross - functional partnerships at GE Vernova. Spearheading financial data transformations and adopting advanced analytics tools.
Own the integration and maintenance of document collections for Climate Policy Radar. Leading efforts in metadata management and data quality processes within a hybrid work environment.
Lead Data Scientist responsible for building next - generation risk models at Zego, a company transforming motor insurance for good drivers.
Head of Data for Premier League Foundation managing data strategy and systems to enhance impact, reporting to the Chief Executive and leading multidisciplinary team.
Senior Data Scientist at Bank of America coordinating data analysis and developing risk management strategies. Working with teams to drive insights and generate revenue opportunities.
Head of Data Enablement at Bank of America, managing strategic marketing activities and leading data product development and commercialization efforts. Responsible for large - scale data initiatives with cross - functional leadership.
Data Scientist at CVS Health independently solving complex business problems across various domains. Leading AI - driven approaches and collaborating with stakeholders for impactful solutions.
Director of Data Science leading analytics for Retirement & Wealth at Voya. Overseeing a distributed team and driving measurable impact through business problem identification and solution development.