7 of 7 Remote/Hybrid Decision Science Jobs in London

Lead Operational Research Data Scientist | FTSE 100 Operational Research | Optimisation | Decision Science | Mathematical Modelling | Analytics Leadership Lead Operational Research Data Scientist (Contract) Contract: Initial 18-Month Contract Location: Hybrid, London (European candidates considered) Rate: Excellent Day Rate IR35 Status: Inside IR35 Overview We're partnering with … This role goes beyond model development. We're looking for an experienced OR leader who can help define how optimisation and decision science create value across the organisation, identifying opportunities, influencing investment decisions, and ensuring analytical solutions translate into measurable business outcomes. You will be instrumental ...

Design, Research and Business stakeholders to unlock customer value and improve operational outcomes. What You'll Do Define and lead the long-term data science strategy for critical product areas. Partner with Product leaders to influence roadmap prioritisation through data and experimentation. Design and execute advanced analytical frameworks … complex experimentation programs, including A/B testing, causal inference, uplift modelling and quasi-experimental methods. Develop machine learning, optimisation and decision science solutions that improve customer experience and operational efficiency. Translate ambiguous business challenges into structured analytical problems and actionable recommendations. Communicate insights and recommendations ...

Decision Science Lead London £70,000 to £90,000 plus benefits This is an opportunity to step into a high impact Decision Science Lead role within a fast growing fintech environment. You will play a key role in shaping credit risk strategy through advanced ...

experimentation and advanced analytics. You will work closely with Product Managers, Engineers and business stakeholders to identify opportunities, generate insights and build scalable data science solutions that improve customer and business outcomes. The successful candidate will combine strong analytical thinking with practical implementation skills and a passion for solving …/B tests and observational studies. Build predictive models and analytical tools that support product decision-making. Develop decision science and optimisation solutions where appropriate. Create dashboards, reporting frameworks and self-service analytics capabilities. Present findings and recommendations to both technical and non-technical audiences. ...

investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint … clients. JMAN has been a portfolio company of Baird Capital since 2023. Position We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what ...

never too late to make any day extraordinary. The role As the Senior Director, Machine Learning, you will spearhead our Machine Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring … sequential and session-based recommenders, embeddings and semantic retrieval, and real-time features — the models that drive discovery and conversion at scale. Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards — A/B testing, guardrail metrics, and rigorous measurement of incremental ...

London is seeking a Data Scientist to design and deliver analytical models and decision-support systems that improve understanding, prediction and decision-making across the business. The role focuses on building practical models of complex real-world systems, working with imperfect data, uncertainty and competing objectives ...