complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or … establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda More ❯
be responsible for: Evolving and scaling a centralised data platform in GCP Overseeing governance, compliance and data quality frameworks Leading reporting and analytics through Power BI and Omni Building predictive models such as CLV and propensity scoring Partnering with senior stakeholders to define and deliver data roadmaps Driving major projects such as ERP integrations, CDP development and digital journey … be responsible for: Evolving and scaling a centralised data platform in GCP Overseeing governance, compliance and data quality frameworks Leading reporting and analytics through Power BI and Omni Building predictive models such as CLV and propensity scoring Partnering with senior stakeholders to define and deliver data roadmaps Driving major projects such as ERP integrations, CDP development and digital journey More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
a Data Product Manager , you'll take ownership of the company's data platform and ML ecosystem - shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights. The Opportunity You'll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data … complex data workflows and ML pipelines Ensuring model quality and performance Partnering cross-functionally across engineering, science, and product Tech Stack: Spark, Cassandra, Redshift AI/ML Use Cases: Predictive click models, data quality optimization, GenAI search applications What You'll Bring 5-10 years' experience overall, with 3+ years in data engineering or data science Proven experience managing More ❯
