1 to 25 of 46 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 »

reporting tools plus maintaining the existing ones up and maintain partnership with the third-party provider that enables self-serve data access ad-hoc analysis and insight per operational meetings be that shallow or deep dive data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE To … be successful when applying for this role you will need: with owning the data visualisation platform within Tableau experience in data mining, statistical analysis and predictive modelling experience using SQL to DBT, big query or other cloud data warehouses worked cross-functionally with a wide range of data more »

maintaining the existing ones Set up and maintain a partnership with the third-party provider that enables self-serve data access Perform ad-hoc analysis and insight per operational meetings be that shallow or deep dive Building data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE … be successful when applying for this role you will need: Experience with owning the data visualisation platform within Tableau Proven experience in data mining, statistical analysis, and predictive modeling Strong experience using SQL Exposure to DBT, big query, or other cloud data warehouses Previously worked cross-functionally with 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 »

project leaders: keeping them informed, preparing briefing notes, data reviews, meeting agendas, summaries, and up-to-date project filing · Responsible for the execution of analysis plans co-developed with team leads ABOUT YOUR BACKGROUND · 3+ years of experience in a quantitative research agency role using statistical analysis … and their projects are elevated · Indomitable Inventiveness: the entrepreneurial resourcefulness to navigate complex challenges and disrupt expectations ABOUT YOUR SKILLSET · Quantitative research · Experience with statistical analysis tools: SPSS, U&As, running multivariate analyses · Experience with brand health trackers- a focus on retail and fashion is desired · Knowledge of more »

protocol positions or established institutions. Working with the Strategic Engagement Coordinator, you will track trends in priority audiences through direct engagement, research, polling and statistical analysis and analytics; as well as design and recommend PD strategies to connect with priority audience sectors to promote understanding of U.S. policy. … States are all required. Must have general knowledge of project management, including defining project objectives, outcomes, and assessment methods. Knowledge of marketing techniques, market analysis and analytics, and customer service standards in the United States and United Kingdom; knowledge of trends in EOL and EV audience engagement; understanding of … and video skills are required. Must have good numerical skills to develop and manage project and grant budgets; must be able to develop descriptive statistical analysis of relevant audience segments and to describe the outcomes of Public Engagement activities and initiatives. Availability: Must be available to travel throughout 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 »

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 »

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 »

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 »

for the end customer. Technically they operate a Snowflake and DataBricks environment, leveraging SQL to extract data and R and Python for modelling and statistical analysis, building code and tools. They also have PowerBI for data visualization, but any similar tool will be considered. Responsibilities: Be responsible for … analysis related to understanding customers, CRM & Loyalty, marketing performance, and broader retail Insight requirements across the business Lead on forecasting and campaign performance across Marketing channels; true incrementality, ROI and contribution to owned exclusive brand mix Manage a team of analysts, growing and nurturing the team through coaching and … training Conduct deep-dives and incremental analysis into performance to generate actionable insights Deliver high quality analysis and insights, answering complex and diverse questions from across the business Work with the broader tech team to deliver data roadmap Experience: Educated to a degree level in a numerate subject more »

for the end customer. Technically they operate a Snowflake and DataBricks environment, leveraging SQL to extract data and R and Python for modelling and statistical analysis, building code and tools. They also have PowerBI for data visualization, but any similar tool will be considered. Responsibilities: Be responsible for … analysis related to understanding customers, CRM & Loyalty, marketing performance, and broader retail Insight requirements across the business Lead on forecasting and campaign performance across Marketing channels; true incrementality, ROI and contribution to owned exclusive brand mix Manage a team of analysts, growing and nurturing the team through coaching and … training Conduct deep-dives and incremental analysis into performance to generate actionable insights Deliver high quality analysis and insights, answering complex and diverse questions from across the business Work with the broader tech team to deliver data roadmap Experience: Educated to a degree level in a numerate subject 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 »

requirements and translate them into actionable deliverables. Collaborate with IT and data engineering teams to ensure data integrity, quality, and accessibility. Perform ad-hoc analysis and data mining to support strategic initiatives and address business challenges. Identify opportunities for process improvement and efficiency gains through data analysis. Stay current … independently and collaboratively in a fast-paced, deadline-driven environment. Experience with programming languages such as Python or R is a plus. Knowledge of statistical analysis techniques and methodologies. Familiarity with data warehousing concepts and ETL processes. 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 »

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 »

a "Data and Performance Analyst" will do: Work on reporting methodologies to elevate service delivery and assess company performance. Provide business intelligence and data analysis insights to the wider business Identify and address data quality issues to ensure accuracy and reliability in reporting. Collaborate with technical colleagues to understand … a "Data and Performance Analyst" will have; Proficiency in Excel and SQL Experience in developing dashboards, creating data visualisation and providing data reports and analysis using PowerBI Familiarity with Dynamics CRM, Azure SQL, and DataFactory Excellent communication skills Strong proven analytical skills with the ability to analyse data sets … for trends and correlations. Knowledge of statistical analysis, service evaluation, and quality control techniques. Interested in finding out more? Contact me at (url removed) or know anyone who would be a good fit? We have a great referral scheme, we offer £300 vouchers for successful referrals. "Our vision more »

dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to financial data analysis. Exhibited excellence in academic and/or extra 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 »

lasting value for their clients. They are looking for an exceptional Senior BI Analyst to join the BI team and help provide insight and analysis into the performance of clients product suites. This is an exciting opportunity to join a team that works on a real variety of projects … will define and measure business success, quality metrics, standards and reporting. This reporting will include a range of things from data extraction (SQL) to statistical analysis (Python, R) and visualization (Tableau, PowerPoint and other visualizations). You will assist clients by generating insights on their market performance using 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 »

. Description This role is part of the corporate and forensic compliance team and works closely with stakeholders to conduct risk assessments, deep-dive analysis, and fraud investigations. Core functions of the team will include gathering data, performing analysis, documenting results, developing work plans, and escalating to line … proficiency in Microsoft applications Preferred skills: • A professional qualification in risk management/fraud examination will be an added advantage. • Experience with data/statistical analysis tools such as Power BI, Tableau etc. • Proven ability to work collaboratively with cross-geographical teams. • Excellent time management and ability 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 »

we're looking for: A data wizard with a knack for storytelling and a passion for making a difference Experience using Python for data analysis, with a minimum of two years in the industry Experience of using ML models and NLP, webscraping for data collection Strong statistical analysis more »