26 to 50 of 789 Statistics Jobs in London

techniques and a proven track record in delivering data science and analytics projects. A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience More ❯

the business to drive data-led decision-making. What We're Looking For: 3+ years of experience in data analytics. Degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in data visualisation tools (Power BI, Tableau, etc.). Experience in SQL and ERP systems. Strong financial modelling and More ❯

and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning algorithms as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key Job Responsibilities Ability More ❯

techniques and a proven track record in delivering data science and analytics projects. A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience More ❯

BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent experience Stock options in a high-growth startup Private Health insurance Pension Apply for this job indicates a required More ❯

learning models to test hypotheses. Communicate findings effectively to engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics, or related quantitative fields. Proficiency in English, both oral and written. Ability to understand and implement mathematical models and algorithms from research papers. Experience More ❯

tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to More ❯

to data governance and privacy policies to ensure compliance with regulations and industry standards. WHO YOU ARE Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or related fields. Experience analyzing large datasets. Knowledge of data fusion, enrichment, and synthetic methodologies. Strong analytical skills and statistical knowledge, with an More ❯

tools (e.g., Tableau, Power BI, Excel) and advanced analytics tools (e.g., SQL, Python, R) Have a degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Economics) What we offer Our roles offer more than just a job, you'll become part of the William Hill More ❯

across the software stack, including ML model performance problems. 3. ROLE REQUIREMENTS, QUALIFICATIONS AND EXPERIENCE • MSc/PhD degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience. • Professional software development experience using languages such as Python, C, Julia, C++, or similar. • Strong proficiency More ❯

untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS More ❯

untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, R More ❯

for creating insightful dashboards. o Machine Learning: Familiarity with machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory. • Fraud and Risk Management Expertise: o In-depth understanding of card fraud typologies and techniques More ❯

for creating insightful dashboards. o Machine Learning: Familiarity with machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory. • Fraud and Risk Management Expertise: o In-depth understanding of card fraud typologies and techniques More ❯

delivery that tackle the objective, not the ask Experience and qualifications: You have a Bachelor's, Master's or PhD degree in Mathematics, Science, Statistics or a related Technical field; or equivalent related professional experience in a role focused on analytics or data science (e.g. driving significant and sustained change More ❯

in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps More ❯

and stakeholders to build data science products that enable others to make business decisions. Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience. Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage. More ❯

Data Science, ML, or AI role. A first-class STEM degree (Maths, Stats, Computer Science, Engineering, etc.) from a top university. Strong foundation in statistics, probability, and applied mathematics. Proficiency in Python (Pandas, NumPy, Scikit-learn). Experience with cloud platforms (AWS, Azure, or GCP) for data processing or model More ❯

project support tasks as needed Assist with documentation of AI processes and procedures Required expertise Bachelor's degree in Law, Computer Science, Data Science, Statistics, or related field Proficiency with data analysis tools (e.g., Excel, Power BI) Data visualization skills and experience creating clear, informative reports Strong analytical thinking and More ❯

Testing, Training, Production, and Monitoring-to ensure the scalability and reliability of solutions. Qualifications: PhD or master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Minimum of 5 years of industry experience as a data scientist, with a focus on ML modelling, Ranking, Recommendations More ❯

frameworks, and technologies to improve capabilities. Ensure compliance with data governance and privacy policies. WHO YOU ARE Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or related fields. Experience analyzing large datasets. Understanding of data fusion, enrichment, and synthetic methodologies. Strong statistical knowledge and analytical skills, with an More ❯

frameworks, and technologies to improve capabilities. Ensure compliance with data governance and privacy policies. WHO YOU ARE Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or related fields. Experience analyzing large datasets. Understanding of data fusion, enrichment, and synthetic methodologies. Strong statistical knowledge and analytical skills, with an More ❯

decision connected to aviation. Responsibilities: Working across the Cirium business departments and directly with our customers where appropriate. Using your expertise in data analysis, statistics, and machine learning, you will build and deliver high-value analytics products to our customers. Contributing your expertise to lead on and deliver projects, inform More ❯

machine learning, and fintech to drive innovation. Who you are: You have an advanced degree (Master's or Ph.D.) in Data Science, Machine Learning, Statistics, or a related field. You possess 3-5 years of experience in a data science role, preferably related to credit risk or finance. You're More ❯

to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data More ❯