11 of 11 Permanent Decision Science Jobs in London

South Korea, and China, and in 2020 was ranked in Forbes’ Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. … Brazil, Sweden, China, USA, and South Korea, as well as India. Due to continued growth, M3 MR is seeking aData Scientist – Decision Science & Modelling in London, UK. Business Unit Mission M3 MR, part of M3 Inc., provides the most comprehensive and highest-quality healthcare market research recruitment ...

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. ...

paced, high-impact environment alongside international leaders from companies like Glovo, Bolt, Monzo, Klarna, Checkout.com, and Tide. If you want to build our data science function from the ground up, work with one of Africa’s highest-scale fintech data sets, and ship products that influence tens of millions … users, this is an exceptional time to join. About the role We’re looking for a hands-on Spain-based Data Science Manager to lead our consumer credit data science efforts in a high-growth environment. This role is pivotal in building and scaling a team responsible ...

would love to hear from you if... A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar) 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime Hands … building and deploying machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering Proficiency in Python and SQL; comfort working across the full model development lifecycle An investigative ...

model outputs into real-world mitigations. Experience & Background: A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar). 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial … building and deploying machine learning models in a production environment. Fraud, risk, or financial services experience is a strong plus. Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering. Comfort working in fast-paced, cross-functional teams with high ownership expectations. Skills & Competencies: Proficiency ...

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 ...

click. We’re a group that chooses to lift each other up and think smart every day. As part of the Decision Science team, you will create cutting edge statistical and machine learning models and collaborate with data engineers, analysts, and business stakeholders. As well as improving ...

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 ...