26 to 50 of 119 Permanent Statistical Analysis Jobs in the UK

with strong aesthetics ready to present both internally and to clients by utilizing Excel & PowerPoint. Contribute to the development and growth of protocols and statistical analysis plans by providing analytical, database, therapeutic, epidemiological, and statistical expertise and experience. Design, implement and interpret basic & advanced statistical methods. … or PhD in relevant field. • 4+ years relevant work experience (consulting, CRO & industry backgrounds considered) • Demonstrated knowledge of R/SQL/SAS and statistical methods over several years. • Experience developing and implementing statistical analysis plans utilizing RWD or clinical trials. • Demonstrated thorough aptitude for conducting quantitative more »

credit books and is a leader in the space. The team are seeking someone with between six and nine years of quantitative modelling and statistical analysis within the Credit space. Perhaps an individual in retail banking or an individual with co-mingled banking and fund experience that has … critical in decision making both from a due diligence perspective ahead of investment decisions and post acquisition of credit portfolios. Dissecting the portfolios through statistical analysis to assess revenue streams, risk identification, adjusting payment structures within the portfolio blocks and ongoing regular monitoring of that performance to pre … of skill set 5-9 years of Credit Experience ideally from a retail bank or leading financial institution A strong experience working both on analysis but also execution of credit loans deals/lending within your institution Advanced statistical modelling skills that can achieve optimisation, multi dimensional regression more »

learning, or a related field, preferably in a fintech or fast-paced technology environment. Strong technical background with hands-on experience in machine learning, statistical analysis, and data engineering. Proficiency in programming languages such as Python, R, and SQL, and experience with data science tools and frameworks like more »

Oracle, NoSQL etc. • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • 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 »

on complaint issues. • Evaluate process deficiencies, communication breakdowns, and customer expectations to determine accurate root causes. • Identify opportunities for process improvement based on complaint analysis, industry best practices, and benchmarking data. • Participate in cross-functional teams and process improvement projects to drive systemic changes and enhance customer satisfaction. • Develop … and implement corrective and preventive actions (CAPAs) to address root causes and prevent recurrence of complaints. Ideal Candidate If you thrive on data analysis and enjoy driving continuous improvement and enhancing customer experience, this role is for you! You should have a keen analytical mindset, a strong background in … statistical analysis, and excellent problem-solving skills. The ability to synthesize complex data into actionable recommendations is essential. Essential Qualifications • Experience in root cause analysis, quality assurance, or process improvement. • Proficiency in root cause analysis methodologies, tools, and data analysis techniques. • Strong analytical skills to more »

machine collaboration. Responsibilities: Algorithm Development: Design and implement advanced algorithms for generative AI models that enhance human-machine interaction within the specified industries. Data Analysis: Conduct in-depth analysis of large datasets to derive meaningful insights, trends, and patterns relevant to the joint venture's goals. Model Training … a related field. Proven experience in developing and implementing generative AI models. Proficient in programming languages such as Python and JavaScript Strong background in statistical analysis, machine learning, and data visualization. Excellent problem-solving skills and the ability to work in a collaborative, cross-functional environment. Demonstrated expertise more »

by importing, cleaning and organising raw data in a way that enables both you and the team to make best use of it. Data Analysis by working with technical experts from the transport, operations and energy sectors to analyse current operations and help model physical and operations scenarios to … in partnership with the other senior analysts and CEO to deliver client projects. Requirements: The role requires significant amounts of hands-on quantitative data analysis, so you will need: Degree level qualification or higher in a numerate discipline (e.g. computer science, economics, logistics, engineering or physics) At least … Tableau SQL Excel & VBA Prior experience of the following is at least two of the following is essential: Client/customer interactions Optimisation Problems Statistical analysis or Machine Learning Experience or interest in the following fields would be highly beneficial: Electric Vehicles and Chargers Energy Storage Commercial vehicles more »

to hire multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role … You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical more »

implementing best practices for data governance and quality control. Previous experience: Proven experience in a similar role, with a strong focus on data management, analysis, and visualisation. Proficiency in Power BI and other data visualisation tools. Strong technical skills, including experience with SQL, ETL processes, and data warehousing solutions. … non-technical stakeholders in a clear and concise manner. Familiarity with data storage solutions such as Mongo Atlas and AWS S3. Key Requirements: Data Analysis and Reporting: Demonstrated ability to perform detailed data analysis and generate comprehensive reports. Business Acumen: Strong understanding of business operations and the ability … to align data insights with business strategies. Technical Proficiency: Proficient in ETL processes, SQL, and statistical analysis. Previous Experience: Proven work experience in projects that involved data analysis, problem-solving, building reports, BI tool implementation, dashboard development, and data integrations. Requirements: Strong communication and collaboration skills. Excellent organisational 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 »

a fundamental understanding of all elements of data and the technologies required to facilitate its use, including collection, storage, processing, quality assurance, and advanced statistical analysis. This role provides the opportunity to be an integral part of the Proton Therapy Service, leading in crucial outcomes analysis to ensure … the proton outcome research strategy, leading the development and implementation of the strategy, producing a comprehensive plan detailing timescales and milestones for the collection, analysis and monitoring of clinical outcome measures. Help develop national and international benchmarking opportunities, including with other NHS provider organisations. Provide expert input into study … design, including data collection methodologies and technologies, definition of primary outcome measures, calculation of appropriate sample size and the specification of appropriate analytics and statistical methodologies as part of required analysis plans. Lead the PCOU and Registry in the selection, development, collection, validation and analysis of clinical more »

industry experience in data science and materials science, complemented by a strong commercial background, are also encouraged to apply. Proven expertise in computational modelling, statistical analysis, and machine learning. Knowledge/Skills: Ability to craft compelling data-driven narratives for clients and stakeholders. Excellent analytical and problem-solving more »

and maintain stringent risk management protocols to monitor and control the risk exposure of managed accounts, adhering to fund policies and risk tolerance. Performance Analysis: Conduct in-depth analysis of traders and strategies to guide capital allocation and risk management decisions. Team Collaboration: Work closely with the investment … risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with more »

have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance more »

future for generations to come. Requirements Graduate in STEM related subjects (Science, Technology, Engineering & Mathematics) Relevant experience working with large data sets to provide analysis and insight Knowledge of legislation/guidelines for presentation of data for compliance products Proven experience in statistical analysis Good communication skills more »

Principal Product Engineer to be responsible for project managing NPI activities within the semiconductor product engineering team. The role will involve yield and trend analysis as well as communicating with test subcontractors and addressing manufacturing, cost and yield issues. Understanding reliability and qualification of new devices will be an … will include: Strong semiconductor product engineering knowledge Experience of production mixed signal IC testers, Advantest, Teradyne A5, Catalyst or UltraFlex would be advantageous Failure Analysis and reliability knowledge Test Development, Process Engineering, Statistical analysis and Customer Support Strong communication skills Bachelors degree in Electrical Engineering or equivalent more »

will be closely aligned to the fundamental equity L/S portfolio managers, supporting them with portfolio construction/optimisation, factor modelling, tool building, statistical analysis and ad-hoc quant research projects. The fund are looking for those who have a strong quantitative equities background as well as more »

presentation skills. Knowledge of C++ or equivalent programming language. Scripting skills using Python, PERL, Unix. ATE (V93K/Teradyne) expertise is advantageous. Knowledge of statistical analysis tools (JMP etc) to support NPI and Production would be advantageous. Responsibility and Authority The position will report to the Test Development more »

a full time basis. The ideal candidate will possess expertise in machine learning, data science, and actuarial principles, particularly in motor and insurance claims analysis . This role will play a crucial part in shaping the company's strategic direction by providing data-driven insights and recommendations to refine … insurance products. Key Responsibilities: Develop and implement pricing models using machine learning and statistical analysis. Conduct data analysis to identify trends, anomalies, and optimization opportunities. Integrate actuarial methods into pricing strategies in collaboration with the insurance team. Provide data-driven recommendations to senior management for strategic decisions. Collaborate more »

is an AI-powered tool designed to generate initial drafts of Clinical Study Reports (CSRs) that accurately reflect the source material, including the protocol, statistical analysis plan, data tables, and figures. Our tool not only formats tables and figures but also crafts meaningful text around them, highlighting clinically more »

o Accountable for all line quality issues - containment, corrective action, risk assessment and problem resolution. o Continuous monitoring of the manufacturing processes by audits, statistical analysis or any other relevant technique to support continuous improvement. o Provide guidance to the shop floor staff on Quality Assurance and cost more »

developing and optimising analytical methods to evaluate drug substances and products throughout their development stages. The successful candidate will also coordinate analytical development and analysis work at contract manufacturing organisations (CMOs) and contract research organisations (CROs). Responsibilities: Manage the development, qualification and validation of analytical test methods in … testing in support of cGMP operations. Ability to interface effectively with management and other groups or project teams. Computer processing literacy and experience in statistical analysis. Excellent verbal and written communication skills along with good organisational skills. Interested or know someone who might be? Reach out to ­­­­Ruhee Saleh more »

controlling the risk. IGAs Responsibility for development and preparation of the IGA including detailed energy and operational savings calculations, financial and energy modelling, economic analysis, energy systems specification and conceptualisation. Ensure outputs comply with the requirements of the programme management data base and validate/approve entries by Energy … the Construction teams to ensure buildability issues and constraints are addressed. Engage with the Commercial team for estimating inputs to IGAs including Tender Workbook Analysis (TWAs) and sub-contractor engagement. Detailed Design Planning the detailed design phase including resource schedules and sub-contract support with the Head of Design. … including use for technical documentation, Microsoft Excel – including use for technical purposes, e.g. to determine component/sub-system performance requirements, model technical problems, statistical analyses, test records, etc. Microsoft Project – programming skills, and Engineering design software (Hevacomp, Cymap, IES) Proven project management, attention to detail and the ability more »

evaluating potential, scoping projects, and defining deliverables. and deploy advanced machine learning models using Azure Machine Learning and open-source stack, ensuring robustness through statistical analysis and hypothesis testing. and mentor data science team members, fostering their growth and skill development while delivering impactful insights through data visualizations … the Insurance Domain. in Python or R programming languages, extensive experience with ML algorithms and models, including Regression, Tree-based, Unsupervised, and NLP. of statistical analysis, hypothesis testing, experimental design, and expertise in machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch. If you are interested in … this role, apply now. Keywords: Data Science, Data Scientist, ML, Machine Learning, statistical analysis, Python, Keras, TensorFlow, PyTorch, Insurance, Financial Services. Top of Form 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 »