1 to 25 of 57 Statistics Jobs in London

data visualization tools. Excellent problem-solving skills, attention to detail, and ability to work independently and in teams. Degree in Computer Science, Data Science, Statistics, Engineering, or related field. Postgraduate qualification in Big Data Analytics/AI is desirable. Benefits : Opportunity to work in a dynamic and innovative environment. Exposure ...

Python, Java, and R code writing. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Strong analytical and problem-solving abilities and high attention to details. Great communication and collaboration skills. Excellent time management and organizational abilities. ...

data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning ...

analytics to drive product or business decisions. Strong Python skills for data analysis, modelling, and experimentation; working knowledge of SQL. Solid grounding in statistics, machine learning, and predictive modelling, including classification, regression, and clustering techniques. Experience designing, running, and evaluating experiments (e.g. A/B testing) to measure product ...

libraries (NumPy, pandas, SciKit-Learn, TensorFlow, or PyTorch). · Experience with GIS tools (ArcGIS, QGIS) and geospatial data formats. · Solid understanding of machine learning, statistics, and data modeling. · Experience building data pipelines and working with large structured and unstructured datasets. · Familiarity with geoscience, remote sensing, or industrial/engineering datasets ...

project planning and strategy discussions. Education & Experience Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics/Master’s degree is preferred. At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities. Strong foundation ...

ability to use quantitative and qualitative information to stimulate improvement and provide assurance on data integrity Ability to use data science techniques and statistics, including use of Python/R Ability to manipulate data in data lakes using PySpark/Experience with cloud-based data architectures and scalable data solutions ...

data science methodologies and technologies to benefit team objectives. What We're Looking For: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment ...

Azure/GCP) Analytical curiosity, attention to detail, and ability to question data quality Clear communication skills and confidence presenting findings Nice-to-haves: Statistics and experimentation (A/B, multivariate) Segmentation/modelling experience Exposure to marketing orchestration/ad-tech tools (Salesforce, Braze, Adobe, DSPs) Light data engineering ...

data science and artificial intelligence with an outstanding track record of research or similar experience across related disciplines and a strong foundation in mathematics, statistics, or theoretical computer science. A deep understanding of mathematical principles underpinning modern AI systems is essential for success in this role. Your Profile DV security ...

love to hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations ...

research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship. ...

hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines ...

PySpark and SQL for data extraction, transformation, and analysis. Expertise in data-driven storage solutions and handling large, complex datasets. Good understanding of classical statistics, with the ability to apply statistical inference and established methods effectively. Strong experience in strategy development, financial analysis, and stakeholder management Advanced communication and presentation ...

ability to use quantitative and qualitative information to stimulate improvement and provide assurance on data integrity Experience and knowledge of data science techniques and statistics, including use of Python/R Experienced building reports and dashboards on Qlik, Palantir or similar Personal Qualities Essential Excellent stakeholder management and interpersonal skills ...

teams to ensure data quality, accessibility, and scalability across the organisation. What We’re Looking For Strong analytical foundation with experience applying statistics and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy ...

such as demand forecasting, optimisation models, or computer vision systems Exposure to working within cloud platforms such as AWS Strong grounding in mathematics and statistics for analysing and interpreting complex datasets An interest in developing broader backend or server-side engineering skills to support the deployment of ML components into ...

background in data-driven modelling within a corporate environment, all the better. We're seeking someone with a degree in Maths, Economics, Data Science, Statistics, Computer Science or a related field, with proven experience in analytics and workforce modelling. In return, we offer a competitive salary dependent on your experience ...

Experience working with marketing and performance data Understanding of paid media metrics and optimisation principles Experience analysing customer behaviour and segmentation Degree in mathematics, statistics, or a closely related quantitative discipline Comfortable working in fast-paced, marketing agency Strong communication skills, with the ability to explain insights clearly WHY APPLY ...

well as those in other parts of the organisation External organisations and partners such as the NHS Borough-Based partnership, Office for National Statistics, the Greater London Authority, and the London Office of Technology and Innovation External providers/consultancies Local Government networks and employer bodies Councillors The ideal candidate ...

market research and consulting. What we look for: Quantitative Background: Degree or equivalent experience in a quantitative discipline such as economics, data science, statistics, mathematics, engineering, or related fields; exceptional candidates with alternative backgrounds must demonstrate strong quantitative proficiency. Strategic and Analytical Thinking: Ability to conceptualize and communicate solutions ...

DevOps tooling. Proficiency in Microsoft Office packages, particularly Excel and PowerPoint. If you know some of this, even better: Experience with data analysis or statistics Developer background or programming qualification A BA/BS degree with a major in information management, marketing, communications, business, or a related field What ...

science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. Databases & Querying: Proficiency … tools like Matplotlib, Seaborn, Tableau, or Power BI to communicate insights. Education & Experience Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your ...

processes are ready. During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ ...

Lift Studies (CLS)and Brand Lift Studies (BLS). Skills 5+ years of experience working in marketing science or data analytics teams. B.Sc. Economics, Statistics, Mathematics or Data Science. SQL: Advanced level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems. Experience with Marketing Mix Models ...