226 to 250 of 464 Statistics Jobs in London

writing and maintaining clear and concise documentation and analysis. NICE TO HAVE BUT NOT ESSENTIAL Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience leading a team or owning a whole product domain Additional Information BENEFITS: Base salary ...

analysis with large datasets(Databricks,Snowflake,Amazon Redshift,Google Big Queryor Similar) Experience with A/B testing and experiment design Extensive knowledge of statistics and analytical concepts Experience in using data to drive product decisions and change opinions Desired Characteristics: A great storyteller and communicator, and can build relationships ...

roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative ...

working with Open Banking or other alternative data in credit decisioning. SQL user, and comfortable working with large, imperfect datasets. A solid grounding in statistics and a good instinct for when a result is real and when it isn't. Commercial judgement: you can translate a model output into ...

platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy ...

deeper rigor Experience mentoring or coaching researchers and raising the quality of a research practice Advanced degree in HCI, Psychology, Sociology, Anthropology, Economics, Statistics, Survey Methodology, or a related field preferred, or equivalent practical experience Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems ...

Building Customer Relationship Management (CRM) Detail‐Oriented Document Management Kaizen (Continuous Improvement) Legal Practices Legal Project Management Legal Writing Professional Collaboration Quality Assurance (QA) Statistics Certifications Required None. Certifications Preferred Certified Management Consultant (CMC) or equivalent certification. Physical Requirements Ability to work in an office environment and perform tasks that ...

marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data. Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. Build … Technical Skills Strong 3–4 years’ experience in marketing effectiveness/MMM and analytics/data science. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure ...

product teams. Help elevate the team’s understanding of retrieval performance and measurement frameworks. Required qualifications Master’s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Significant experience in data analysis, business intelligence, or analytics roles. Proficiency in SQL and Python … NDCG, recall, precision, ranking metrics). Proven ability to translate complex data into actionable insights and influence decisions. Preferred qualifications PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Experience working on search, ranking, or recommendation systems. Familiarity with information retrieval concepts (e.g. ...

innovate using advanced AI techniques in financial services. This role demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine ...

results clearly. Produce clean, tested code; use Git and deploy to production. Automate and scale quantitative research workflows. Requirements Master’s in Mathematics, Statistics, Computer Science, Economics or Financial Engineering. 3–5 years as a quantitative analyst/programmer in asset management or investment banking. Strong grounding in probability theory ...

/CD and DataOps practices Strong communication skills and the ability to collaborate with colleagues internationally Experience with LLMs, fine-tuning, RAG or statistics would be useful but is not essential. This is an opportunity to join an ambitious business at an exciting stage of its growth, take genuine ownership ...

. Experience working with complex, multi-divisional, multi-geographic customers. Preferred Qualifications Passion for science, chemistry, or artificial intelligence. An aptitude for statistics, mathematics. Experience scaling an account management or customer success team at a growth-stage company. By applying for this role, your personal data will be processed ...

/CD and DataOps practices·Strong communication skills and the ability to collaborate with colleagues internationallyExperience with LLMs, fine-tuning, RAG or statistics would be useful but is not essential.This is an opportunity to join an ambitious business at an exciting stage of its growth, take genuine ownership and help ...

Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy ...

win. At the heart of our platform is our in-house analytics and trading engine, built to process real-time data and surface transparent statistics that help traders make better decisions. What you'll do Lead short technical onboarding projects for new clients, working with their developers, risk managers ...

close collaboration with algorithm developers, researchers, data scientists, and software engineers. Who You Are: M.Sc. or Ph.D. in Computer Science/Mathematics/Statistics/Operations Research/similar quantitative field. 3+ years of relevant industry experience in algorithm development, data science, research, or software engineering with a strong algorithmic ...

production environments. Advanced Python skills. Experience with SQL and modern cloud-based data platforms. Familiarity with containerisation and orchestration technologies. Strong understanding of statistics, model evaluation, data preparation, and feature engineering. Desirable Experience Real-time or streaming data environments. Computer vision and video analytics. Large-scale telemetry, sensor ...

with all levels of management and partners Required qualifications, capabilities and skills Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc Knowledge of Fraud processes and products Team development and management experience required. #ICB #J-18808-Ljbffr ...

live trading activities, parameter calibration and continuous strategy improvement Co-founder & Head of Quantitative Trading Research - Qualifications Strong background in quantitative finance, applied mathematics, statistics, physics, computer science or a related discipline Proven experience researching or developing high speed/frequency trading strategies. Strong understanding of FX trading, market microstructure ...

live trading activities, parameter calibration and continuous strategy improvement Co-founder & Head of Quantitative Trading Research - Qualifications Strong background in quantitative finance, applied mathematics, statistics, physics, computer science or a related discipline Proven experience researching or developing high speed/frequency trading strategies. Strong understanding of FX trading, market microstructure ...

follow sport closely and understand the context of the data and audiences we build for. Comfortable with sport-driven modelling decisions. Machine Learning & Statistics: Solid grounding in machine learning, supervised and unsupervised methods, and classical statistical techniques. Comfortable working with probabilistic models, uncertainty estimation and Bayesian inference. Model Development: Understanding ...

particularly interested in candidates who bring experience in some of the following areas:Developing and deploying machine learning models in production environments.Applying statistics, analytics and machine learning techniques to solve complex business problems.Experience in one or more of the following areas:Developing and applying machine learning solutions to solve complex ...

algorithms, tuning, and performance evaluation. Experience with a range of feature engineering techniques (e.g., target encoding). Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. Experience in writing clean, production‐grade Python code for both model training and inference. Excited to leverage LLMs for coding support ...

target Learn more about benefits at our client. Minimum qualifications: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences, or equivalent practical experience. Experience in one area of computer science (e.g., Natural Language Understanding, Human ...