1 to 25 of 56 Statistics Jobs in the City of London

solving complex, real-world problems using data science and analytics Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics Deep understanding of machine learning methods and their practical application Experience delivering multiple end-to-end data science projects across varied data types and business ...

side or sell-side with a genuine interest in sustainable investing Undergraduate degree in a quantitative discipline such as finance, economics, mathematics, statistics, computer science or a related field Strong programming skills, particularly in Python and SQL, with experience manipulating and analysing large datasets Experience using modern generative AI tools ...

business process analysis, requirements management and solution design. Experience working within Agile, Scrum or hybrid delivery methodologies. Degree in Computer Science, Information Systems, Mathematics, Statistics, or equivalent professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence ...

that support analytics and reporting Automate repetitive data and reporting processes What we're looking for Proven experience in data analytics, data science, and statistics or business intelligence Strong track record of using data to answer business questions and generate actionable insight Advanced hands-on experience with ...

sharing knowledge and raising engineering standards across the team. Qualifications & experience A degree or equivalent experience in computer science, data engineering, software engineering, mathematics, statistics or a related technical discipline would be beneficial. Google Cloud, dbt or other relevant data engineering certifications are also welcomed, although practical experience and demonstrable ...

Strong communication and stakeholder management skills. Experience balancing multiple priorities in a fast-paced environment. A degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Computer Science or a related STEM subject. Desirable experience includes: Python, R or SPSS. Workforce analytics, people analytics or public sector analysis. Exposure ...

sales activities is essential. Presentation Skills: Ability to confidently present to a range of stakeholders, including executives and technical teams. Education: Degree in mathematics, statistics, computer science, or similar technical field. Professional Experience: Minimum 5 years of experience in AI, Data, or related fields. Technical Knowledge: Strong understanding of modern ...

from a recognised actuarial professional body. Excellent academic qualifications including a minimum of a bachelor's degree in mathematics, actuarial science, other scientific discipline (statistics, physics, natural science), economics or finance. An advanced degree (master's or PhD) would be a plus. #J-18808-Ljbffr ...

consistency and quality before release into business-critical decks and workbooks. Requirements Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, Econometrics, or a related quantitative discipline. Minimum 3 years of experience in a data engineering, analytics engineering, or BI development role. Strong hands‐on experience ...

verbal communication skills. Experience presenting technical information to non-technical stakeholders. Strong stakeholder management and relationship-building skills. A STEM degree, ideally within mathematics, statistics, economics, or a related discipline. The ability to work independently and manage competing priorities. APPLY BELOW ...

experience in data science, applied data science or machine learning in a sophisticated commercial environment. Advanced capability in Python and SQL. Deep grounding in statistics, machine learning, experimentation and model validation. Solutions you can point to that delivered measurable customer or commercial impact. Strong experience across segmentation, propensity, lifetime value ...

operational outcomes of clinical trials; and Support departmental process improvement initiatives. Qualifications Bachelor’s in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field; Analytical thinker with great attention to detail; Ability to prioritize multiple projects on a sprint schedule; Excellent verbal communication skills; Programming experience ...

similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data science/statistics, signal research, backtesting or factor modelling; full stack familiarity (Flask, Django, FastAPI); SaaS build/deploy on cloud (Docker, AWS or similar); an understanding ...

usability sessions and behavioural analysis, and you know which one answers which question. Strong with data. SQL and product analytics as a daily habit, statistics you can apply rather than recite, and dashboards you built yourself. You can code and you speak engineering. Python or JavaScript well enough to pull ...

Oracle, with hands-on experience in data quality frameworks and automation tools. Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance. Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality ...

Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software Proficient at communicating results in a concise manner both verbally and written ...

practice. About You Essential Strong professional experience in data science or advanced analytics. Advanced practical capability in Python and SQL. A strong grounding in statistics and machine learning. Experience developing and validating predictive models. Experience with customer, transactional, behavioural or digital data. Understanding of experimentation and statistical measurement. Analytical curiosity ...

clients use Python, R or similar tools in research and data-engineering workflows. A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline. Python proficiency is valuable but is not the principal requirement for this leadership role. The candidate should ...

discipline with strong academic performance in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. High motivation, good work ethic, maturity and personal initiative. Effective ...

platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelor 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 ...

conduct research and pose difficult questions in order to build scalable algorithmic solutions to hard problems from the ground up Strong Machine Learning and Statistics knowledge; both in classical models and neural-network-style models Strong Software Engineering fundamentals Enthusiasm to learn and contribute to a culture of learning Advantageous ...

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 ...

subject matter of our Level 4 Data Analyst Programme: Topics covered within the Data Analysis Programme are: Programming for Data Analysis (Python) Data Manipulation Statistics Data Storytelling Data Modelling SQL Data Architecture Time Series Machine Learning Your performance will be measured by and driven by a mindset built on: Enabling ...

role, we are looking for candidates to have the following skills and experience: Essential criteria Master's degree (already awarded) in Data Science, Epidemiology, Statistics, Computer Science, Health Informatics, or another relevant quantitative discipline Demonstrated experience conducting quantitative or statistical analysis of health-related data, including data management, cleaning ...

data sets to push significant ideas and decision support tools to investment teams Qualifications Pursing a bachelor’s or higher degree in statistics, engineering, economics, business, computer science, or physics Intellectual curiosity with a genuine interest in investment Professional demeanor, a capability to learn, think, and react quickly, along with ...