13 Statistical Analysis Jobs in London with Remote Work Options

success. Key Responsibilities: Collect, clean, and analyze large datasets from various sources. Develop and maintain dashboards and reports to track key performance metrics. Perform statistical analysis and predictive modeling to identify trends and patterns. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. … concise manner. Ensure data integrity and accuracy through regular data validation and quality checks. Qualifications: Minimum of 2 years of experience in a data analysis role. Proficiency in data analysis tools such as SQL, Python, or R. Experience with data visualization tools like Tableau, Power BI, or similar. more »

and reliability. Analyze and resolve problems efficiently. Communicate effectively with end-users until issues are resolved. Key Skills and Knowledge: Essential: Proficiency in SAS (Statistical Analysis System) and SQL. Strong problem-solving abilities and analytical skills. Desirable: Knowledge of PL/SQL, Java, web interfaces, and Oracle databases. more »

our data strategy, providing direction to our key products, and translating complex findings into compelling narratives. What you'll be working on: Leverage data analysis to inform decision-making and contribute towards improving Builder’s array of bespoke products Provide insights across different business areas, contributing to the continuous … tools (QlikSense, Tableau, Looker, or PowerBI) to develop and maintain dashboards, visualizations, and analytics support. Apply problem-solving skills to address challenges, using data analysis to arrive at effective solutions. Collaborate with cross-functional teams to align research, development, and execution initiatives with product priorities and goals. Requirements Strong … Data Analysis skills Ideally experience leading a team (or close to doing do) Strong proficiency in SQL; experience with BI tools such as QlikSense, Tableau, Looker, or PowerBI. Ideally proficiency with digital analytics tooling such as Amplitude, Mixpanel etc. (Adobe Analytics and Google Analytics experience also beneficial) Proven understanding more »

Statistics Consultancy 4 days office, 1 day WfH Up to £70,000 + bonus Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … MatPlotLib etc Experience working with large datasets in SQL and RDBMSs, and ability to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to more »

services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »

quality and integrity Build, calibrate, and validate marketing mix models to assess the impact of different marketing channels on business outcomes Conduct in-depth statistical analyses to uncover patterns, trends, and opportunities for optimisation Communicate findings and recommendations to both technical and non-technical stakeholders through clear and compelling … reports Skills & Experience Experience in econometrics or marketing attribution Strong statistical knowledge Skilled in model development, particularly marketing mix models. Proficiency in statistical software such as R, Python, Eviews or similar Strong communication skills The Benefits £400-£450 per day, outside IR35 and an initial 3 month contract … please send your CV to Luke via the Apply Link on this page. Desired Skills and Experience - Experience in econometrics or marketing attribution - Strong statistical knowledge - Skilled in model development, particularly marketing mix models. - Proficiency in statistical software such as R, Python, Eviews or similar - Strong communication skills more »

solution delivery. The successful candidate(s) will be expected to: Lead commissions in area of efficiency & value identification, assurance & continuous improvement, construction economics research & analysis, and general data advisory services. Have experience in one or more of the following technical disciplines: Cost Model and/or Cost Estimate development … Statistical Analysis to support benchmarking and efficiency exercises Business Cases development and Cost Benefit Analysis Evaluation of strategic options to support investment decisions Design business models. Identify cost reduction opportunities through benchmarking and efficiency exercises Possess analysis capabilities which can be applied to client and industry … delivery Demonstrable experience and/or relevant qualification in one or more of the following: cost modelling, cost estimation, business case development, cost-benefit analysis or statistical analyses. Knowledge and interest in the infrastructure sector and its ongoing developments Strong capability in the Microsoft Suite of products Effective more »

services from Cloud providers (AWS, Azure, GCP). Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong more »

growth, they seek ambitious professionals to join their dynamic team. ROLE AND RESPONSIBILITIES Utilize programming languages such as Python, SQL, and others to implement statistical methods effectively addressing specific business problems. You will be working extensively on forecasting/propensity modeling. Develop robust models and perform data-driven analyses … working with object-oriented programming languages. Experience in Forecasting and propensity. Expertise in utilizing SQL for data acquisition and transformation. Outstanding quantitative modeling and statistical analysis abilities. SALARY AND BENEFITS Salary range: up to £70,000. Free lunch. Hybrid working model. HOW TO APPLY To be considered for more »

join a growing firm and be able to manage your own trading book. Responsibilities: Develop and implement quantitative trading strategies for equity markets Conduct statistical analysis, back testing, and optimization of trading models Collaborate other team members to optimize trading performance Monitor and manage trading positions and risk more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »

in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »

The Performance Analyst will work with the Strategic Data Lead to; Develop self-service reporting tools for users of all levels and providing bespoke analysis to help stakeholders make data driven decisions. Identify and assess problems with the quality of data that is used for and presented in data … departments and regulators. Candidate Requirements - Demonstrable excellent skills in Excel and SQL and SQL database administration (essential). Experience in producing data reporting and analysis with tools such as Power BI for data visualisation (essential) Experience of using Dynamics 365 (CRM configuration and administration), Azure SQL and DataFactory. (essential … both written and verbal, with the natural ability to network and build effective relationships with key colleagues across the organisation. Experience or knowledge of statistical analysis. Ability to analyse data sets for trends and correlations, and to present this as evidence to support decision-making. Strategic thinking and strong more »