51 to 75 of 90 Statistical Analysis Jobs in London

Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands‐on experience training, deploying, and maintaining ...

analyse and interpret complex data sets, providing actionable insights to support decision making. You will work closely with stakeholders to design data models, run statistical analyses, and present clear findings. The role requires strong SQL, Snowflake experience and a passion for data governance and reporting. The successful candidate will ...

translate ambiguity into actionable insight. Experience mentoring data professionals and helping establish analytical standards. Nice to Have Python experience. Experience with experimentation and statistical analysis. Exposure to CRM, revenue, or customer success platforms. Interest in AI-enabled analytics and modern data products. Why Apply? Join a highly respected data ...

Debug real time operational issues within a highly complex and automated trading systems Back testing and production performance monitoring Contribute to in-house data analysis packages and research framework development Development of automation tools to improve trading processes Statistical analysis and machine learning to generate alpha signals ...

UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. … with a fantastic team of technology experts. Your primary focus will be designing, architecting, and deploying robust AI solutions and pipelines that enable advanced analysis and Generative AI capabilities, often in highly regulated environments. Either drawing on existing expertise, or with some development, you will be capable of advancing ...

with a fantastic team of technology experts. Your primary focus will be designing, architecting, and deploying robust AI solutions and pipelines that enable advanced analysis and Generative AI capabilities, often in highly regulated environments. Either drawing on existing expertise, or with some development, you will be capable of advancing … frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare ...

Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience ...

other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager … help teams turn them into clear, actionable opportunities. Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning. Help connect Data Science work to measurable customer, product and commercial outcomes. Work with Analytics Engineering, Machine Learning and other data ...

cloud platforms (AWS, Azure, or GCP) . Strong analytical and problem-solving skills. Ability to influence technical direction and work autonomously. Desirable Cybersecurity, malware analysis, threat detection, or security product experience. Statistical analysis, machine learning, or complex systems experience. Previous mentoring or technical leadership experience. Why Apply ...

Strong commercial experience, using data to solve real business and product problems Experienced working closely with Product and/or Growth teams Strong across statistical analysis, experimentation, modelling, and data-driven decision making Comfortable taking ambiguous commercial problems and turning them into clear analytical approaches An excellent communicator ...

scale biomedical datasets, including genomic, transcriptomic and multi-omics data. You will have strong programming skills in R, Python and MATLAB, alongside expertise in statistical analysis, data integration and reproducible research practices. You will be an innovative and highly motivated researcher with excellent analytical and problem-solving skills ...

banking, payments, e-commerce, or a similar fraud-focused environment. Strong Python and SQL skills are essential. Experience developing fraud models or applying advanced statistical analysis to fraud prevention challenges. Understanding of fraud detection, fraud scoring, identity verification, or fraud strategy frameworks. Ability to measure, communicate, and demonstrate ...

learning models and data pipelines. Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions. Evaluating model performance through rigorous statistical analysis and assessing business impact. Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding ...

learning models and data pipelines. Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions. Evaluating model performance through rigorous statistical analysis and assessing business impact. Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding ...

testing and evaluating performance of Machine Learning systems; Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles; Experience with statistical analysis, and ability to produce well-designed experiments; A strong product mindset with the ability to work independently in a cross-functional ...

form quality by analysing the outputted coordinations. Build and train new AI models Optimise AI models to run on specific hardware accelerators Utilise statistical analysis techniques to minimise inaccuracies when dealing with complex occlusion scenarios. Collaborate with the Product team to ensure technical and product requirements are understood … implement algorithms for real-time data processing and analysis. Strong foundation in linear algebra, geometry, and basic calculus. Good understanding of probability and statistical analysis. Good communication abilities, particularly in effectively and clearly explaining technical concepts to non-technical individuals and in writing detailed project documentation. Meticulous and thorough ...

applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide technical direction. Collaborate with engineers, product managers, applied scientists ...

testing and evaluating performance of Machine Learning systems; Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles; Experience with statistical analysis, and ability to produce well-designed experiments; A strong product mindset with the ability to work independently in a cross-functional ...

multi-service level, including problem definition, model development, evaluation, and operationalization within a product or technical domain. Strong foundation in machine learning methods, statistical analysis, experimentation, and data-driven decision making, with hands‐on coding experience in scientific and production-oriented environments. Experience working with cross-functional partners ...

applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide technical direction. Collaborate with engineers, product managers, applied scientists ...

literate and proficient in Microsoft Office applications and capable of effectively managing experimental data, technical reports and presentations. Experience of Design of Experiments and statistical analysis tools is desirable.Knowledge of electronic materials and applications in electronics protection and thermal management, along with familiarity with regulatory requirements relating ...

matrixed organisations. • Strong background in process improvement, productivity, operational excellence or transformation roles (technology, telecoms, digital or similar environments preferred). • Demonstrable experience translating analysis into real business outcomes and executing on plans, not just recommendations. • Clear experience in delivering process mapping, statistical analysis and in supporting ...

endpoints to detect signs of unauthorized or malicious activity. Continuously investigating new techniques to detect emerging forms of cybersecurity violations. Applying machine learning and statistical techniques to detect anomalies and identify suspicious or unexpected behavior. Researching and developing data identifiers (e.g. regular expressions) to detect sensitive information, and contributing … syntax with Starlark (our embedded scripting language) and is commonly used to prototype models A strong interest or background in data science , machine learning, statistical analysis, or natural language processing is a plus — especially as applied to behavioral analytics and anomaly detection — but this is primarily a software ...

delivering insights that add business value. The ideal candidate will have a Master or PhD in a quantitative discipline, a strong background in statistical analysis and machine learning, and proficiency in Python and SQL. Passion for gaming is essential. #J-18808-Ljbffr ...

Senior Data Analyst to join the client team in Central London. You will drive data-informed decisions through advanced A/B testing, statistical analysis, and enterprise BI solutions. The role is client-facing, embedding with the client's team, and requires autonomy and professional representation ...