1 to 25 of 47 Statistical Analysis Jobs in London

manufacturing, Experience with process design based on Lean Principles, Experience in Capital project management, Experience with concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making, Experience must involve ownership/management of engineering design projects, Experience using business/ more »

+ Bonus Company Overview: Our client is a leading financial services firm specialising in algorithmic trading strategies. They leverage cutting-edge technology and quantitative analysis to drive innovation and deliver superior returns to their clients. As they continue to expand our trading operations, they are seeking a talented Quantitative … trends, and opportunities for alpha generation. Develop and implement algorithmic trading strategies across equities, futures, options, and other asset classes. Conduct backtesting and simulation analysis to evaluate the performance of trading models and optimize parameters. Collaborate with traders and developers to design and implement trading algorithms, including execution logic … needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to more »

protocol, SAP, study report development, and disclosure. Communicate effectively about the utility of RWE across the product lifecycle and drive use of study/analysis results to support internal and external decisions. Contribute to the communication of observational research results, including development of pertinent sections of regulatory documents, publications … RWE, including in support of early-stage clinical development, regulatory approvals, and/or safety commitments. Experience designing and conducting observational research, including protocol, statistical analysis plan, and study report development. Experience with secondary data analysis, including electronic medical record and/or medical claims databases, and … with statistical analysis tools, such as SAS and R. A track record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred. Knowledge of the Oncology therapeutic area. Experience leading studies and projects in a matrix setting. Demonstrated ability to function with autonomy more »

strive to create a nurturing and inclusive learning environment for our students. About the Role: The Data Insights Analyst role is crucial in the analysis, and interpretation of data that can inform decision-making and improve various aspects of operations at the Elizabeth School of London (ESL). Reporting … to the Data Integrity Manager, the Data Insights Analyst will be responsible for ensuring that they provide accurate and timely analysis that aligns with ESL’s and external regulatory requirements such as the Office for Students. The Data Insights Analyst is expected to conduct meaningful comparisons and trend analyses … experience and positive outcomes. The Data Insights Analyst will collaborate with various stakeholders across the institution. Main Duties and Responsibilities: Develop and document data analysis requirements through meetings with departments. Analyse large complex data sets from multiple sources. Perform quantitative and qualitative analysis using statistical methods. Create more »

Proven experience liaising with key stakeholders and handling accounts in a media setting. Excellent experience and ability building models in Marketing Effectiveness ( MMM , Econometric Analysis , Statistical Analysis ). Ability to lead and mentor the analytics team, as well as knowledge of media data systems and disaggregate data more »

the collection, integration and maintenance of large complex data sets from multiple sources. Lead on Data Protection across the organisation. Perform quantitative and qualitative analysis using statistical methods. Ensure and maintain the accuracy of data held and its compliance with the requirements and definitions of key external stakeholders. … collecting, mining and analysing large, complex data sets. Experience with visualisation and reporting tools such as Tableau, Power BI and Looker. Working knowledge of statistical analysis and modelling techniques. Strong written and verbal communication skills. Keen attention to detail with analytical mindset. Problem-solving mindset with the desire more »

Responsibilities: Process and integrate diverse datasets from eDNA, passive acoustic monitoring, and environmental sensors, ensuring data quality, consistency, and compatibility. Develop and implement data analysis pipelines using statistical methods and machine learning techniques to identify patterns, trends, and relationships in the monitoring data. Interpret analysis results in … and update data management systems, ensuring data security, access control, and version control. Stay up-to-date with advancements in marine environmental data science, statistical methods, and relevant technologies, and propose innovative solutions to enhance the monitoring system. Requirements: Master's degree or PhD in Environmental Science, Marine Biology … Oceanography, Ecology, Data Science, or a related field. Strong background in statistical analysis, data visualisation, and programming (e.g., R, Python, SQL). Experience working with large, complex ecological datasets, preferably in the context of marine environments or renewable energy. Knowledge of marine ecology, biodiversity assessment methods, and environmental more »

for a creative problem solver, analytical and technically skilled Business Intelligence Engineer to join our dynamic team. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices as well as proficiency in hypothesis testing, including parametric and non … parametric tests and is familiar with A/B testing, understanding factors like random assignment, statistical power, p-values, confidence intervals, potential biases along with strong grasp of frequentist statistics. The ideal candidate will help us to build data pipelines and robust metrics decks, perform advanced statistical analysis … to understand business needs and provide data-driven recommendations. Ability to clearly articulate assumptions, methodologies, results, and implications. Able to present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding. Design and implement metrics to measure the success and effectiveness of classification models more »

potential of our data. You will have the opportunity to work with various types of data, including structured and unstructured data, and utilise advanced statistical techniques and machine learning algorithms. Your role will involve developing predictive models, conducting data mining and analysis, and creating data visualisations to effectively … our strategies but inspire action and innovation across our organization.Applying data visualisation techniques to effectively communicate insights and findings. Innovative Problem-Solving: Employ advanced statistical analysis, machine learning, and predictive modelling to tackle complex challenges. You’re not just solving problems; you’re anticipating them and creating solutions … of database concepts and data manipulation. Excellent communication and presentation skills. Nice To Haves Publication or contribution to research in the field of algorithmic analysis, machine learning, or predictive analytics. A solid grasp of the latest trends in digital media consumption and a passion for exploring emerging platforms and more »

skills: Independently driving initiatives, collaborating with the team, and influencing stakeholders to strengthen automated transaction monitoring controls. Accessing complex and distributed datasets and performing statistical analysis, simulation of existing controls and assessing the impact of specific changes. Working with the team and stakeholders to understand business requirement and … based on data insights. Providing suggestions for the re-design of existing TM controls. Managing the optimisation of existing TM controls through quantitative data analysis (including Above and Below the Line testing). Analysing, assessing, and documenting the effectiveness of existing automated transaction monitoring controls. Representing the organisation with … You have a business mindset, and you are eager to understand both the business and technical sides. You are passionate about data and quantitative analysis, and you can perform all kinds of numerical and statistical analysis. You are a team player with a positive attitude and want to more »

the rise of living costs, understanding consumer needs and experiences is paramount. We're seeking an experienced Senior Researcher, specialised in quantitative research and analysis, to join our Customer Insight & Behavioural Science team. This role is key to producing the high-quality research necessary for informed decision-making at … innovation and enhancing our connection to the communities we serve. As a senior researcher, your purpose will be to deliver high-quality research and analysis by leading or overseeing quantitative consumer research projects targeting both households and businesses. You'll also maximise the value and impact of data collected … by Ofgem and external organisations through analysis to address key policy and strategic questions. The ideal candidate will have a strong track record in leading the design and delivery of quantitative social research projects.. You will be skilled at forging solid connections with team members and external partners to more »

new and ongoing projects, providing actionable insights to clients, and harnessing data to enhance decision-making processes. You'll spearhead data mining endeavours, conduct statistical analyses, implement state-of-the-art machine learning methodologies, and derive insights while constructing predictive models from both structured and unstructured data sets. You … data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets Familiarity with software engineering principles and collaborative programming more »

on a range of responsibilities including modelling, data visualisation and the automation of our data collection services. Duties: Modeling energy markets fundamentals (first principles, statistical and ML) Building visualisations and interactions around models to present results Closely supporting our research team and resolving any data issues in a timely … coding competency and understanding of best practices Good understanding of code life cycle (dependencies, version control… We use Anaconda and GitHub) Excellent knowledge of analysis and visualisation libraries such as pandas, statsmodels, matplotlib, seaborn, plotly, etc. SQL: Querying data via SQL (ideally PostgreSQL, MySQL) Experience importing, exporting and migrating … data within databases would be a plus Good statistical analysis skills (regressions, auto regressive models, time series decompositions, etc.) Working knowledge of Excel The ability to meet deadlines and work effectively with others, including colleagues in different time zones, to deliver timely data and analysis Effective communication more »

OBS, to ensure System Compliance with coding Structures to allow for consistency of reporting. * Using data to predict trends in the Delivery operations. Performing statistical analysis of data. Using tools and techniques to visualise data in easy-to-understand formats, such as diagrams and graphs. * Development, delivery and more »

effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for leading a BIE team building out analysis and visualization tools and processes to support our growing Amazon Logistics business in Europe and WorldWide. The successful candidate will be able to effectively … opportunity). Analyse and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation. Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing … data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience writing complex SQL queries 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 more »

analytics projects. Establish best practices for data governance and compliance. Requirements: Proven leadership in data science, ideally in the public sector. Strong skills in statistical analysis and machine learning. Proficiency in Python, R, SQL, and data manipulation tools. Experience with data visualization tools such as Tableau or Power more »

fundamentals, and geopolitical factors, to enhance model performance and profitability. Optimize models for execution efficiency, liquidity management, and risk control. Conduct backtesting and simulation analysis to assess model performance under various market conditions and refine model parameters. Requirements: Advanced degree (Ph.D. or Master’s) in quantitative finance, mathematics, statistics … skills in in either Python or C++ Solid understanding of financial markets, trading strategies, and risk management principles. Experience with quantitative modeling techniques, including statistical analysis, machine learning, and time series analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving more »

equities and futures. The ideal candidate will have a proven track record in systematic trading, with a deep understanding of financial markets and quantitative analysis techniques. Responsibilities: Conduct research to develop and enhance systematic trading strategies across equities and futures products. Utilize quantitative techniques and statistical analysis … or quantitative research within a hedge fund or proprietary trading firm. Strong programming skills in languages such as Python, R, or C++ for data analysis and model development. Deep understanding of financial markets, trading dynamics, and risk management principles. Excellent quantitative and analytical skills, with the ability to work more »

where the risk models, processes, or infrastructure can be improved and participate in the design and implementation of those enhancement initiatives Conduct mathematical/statistical analysis to calibrate and enhance risk models Collaborate with a group of colleagues on key policy and methodology development Build and maintain the … ability to balance trade-offs Must have prior experience in risk management as a risk analyst or relevant professional experience in risk management, data analysis, portfolio management, and/or risk systems. At least some of this experience will have been gained in an investment bank, hedge fund or more »

for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential: Machine Learning SQL Server Data analysis/Mining/Science/Wearhouse statistical analysis Linear Regression Database Desirable: Experience with any of the following: SQL Python Hadoop R more »

other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of more »

designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to more »

Data and Insights Expertise: Essential: Demonstrated proficiency in leveraging behavioural, marketing, and attitudinal data to inform client strategies. Strong command of Python for data analysis, with a minimum of two years' industry experience. Ability to work with diverse datasets, including structured, semi-structured, and unstructured data. Proficient in statistical analysis techniques such as clustering, regression, etc., and their application in solving real-world business challenges. Desirable: Experience with collecting and working with open data sources, including web scraping and APIs. Competency in SQL for data analysis. Familiarity with dashboard development, particularly utilizing PowerBI. Communication Skills: Essential: Adept … setting. Capable of thriving in an environment that fosters growth and support. In Summary: The ideal candidate will possess a solid foundation in data analysis, particularly in Python, along with the ability to translate insights into actionable recommendations. Exceptional communication skills are vital for effectively conveying complex findings to more »

organization. Onboarding data to our data warehouse by building automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls. Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership. Inventing new ways to analyze data to … delivery service partners. Partnering with other data engineers and analysts to build and automate central tools that will improve the quality of reporting and analysis in the organization. Partner with our global teams, align on reporting needs, setup, maintain and own data pipelines. We are open to hiring candidates … with theory and practice of information retrieval, data science, machine learning and data mining Experience with theory and practice of design of experiments and statistical analysis of results PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership AWS Cloud Practitioner/AWS Solutions Architect/AWS more »

of delivering impactful solutions. • Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks. • Solid understanding of statistical analysis, data mining, and predictive modeling techniques. • Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts. • Strong leadership more »