1 to 25 of 127 Statistical Analysis Jobs

analytical models and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from diverse datasets. This role … them into reusable architecture artefacts for the enterprise. Develop and deploy advanced machine learning models using Azure Machine Learning and open-source stack. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide and nurture talent within data science team, fostering their growth … needs of the business. To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected Statistical modelling of data. Document methodologies, experiments, and results to ensure the reproducibility of analyses. About you Bachelor's or Master's degree in Data more »

data-driven insights that inform business strategy and decision making. The Insight Analyst will work cross-functionally to understand key business challenges and leverage statistical modeling, data analysis, and visualization best practices to provide solutions. Responsibilities:  Partner with stakeholders across the business to identify and frame key questions … that lend themselves to data-driven insights  Build, validate, and analyze statistical models using large, complex datasets to test hypotheses and reveal business insights  Design experiments leveraging A/B testing frameworks to quantify current initiatives and guide strategy  Analyze multivariate datasets using statistical programming languages like SQL … Python, and R  Communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives and key decision makers  Continually seek out ways to improve analytical methods and recommend enhancements supported by data Requirements:  3+ years professional experience conducting quantitative and statistical analysis  Expert skills more »

learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct … statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data … science group. Responsibilities Building and testing credit and fraud risk statistical models to be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes more »

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 »

complex ad-hoc reporting requirements in a timely fashion. Support the delivery of predictive analytics Participate in requirement gathering workshops. Support the delivery of statistical information, interpretation of data and the presentation of Management Information to meet the needs of internal customers. Collection, and management large datasets using various … tools: Excel, Excel VBA, Power BI, SQL. Analysis of data to ensure it is fit for purpose and feedback to customers on any issues or changes required. Identify opportunities for continuous improvement in the development, delivery and maintenance of Buying and Merchandising MI reporting. Liaise with a wide range … high levels of accuracy Aptitude to learn new skills/software Able to commute to Bradford city centre Desirable Relevant qualification demonstrating maths/statistical analysis/computer science Experience using statistical analytical tools such as R or Python Experience working in retail Relevant qualification demonstrating maths more »

engineering, and who wants to play a significant role in a business that is constantly expanding. The Role: Justifying, defining and proposing project - cost analysis and dealing with stakeholders A multidisciplinary approach to mechanical, electrical, and chemical engineers' environment's product design and development Methods and analysis - statistical methodologies, Statistical analysis, modelling and simulation The Candidate Understanding of engineering processes, in particular systems engineering Critical thinker Experience of engineering design and problem solving Key words: R&D Engineer/Systems Engineering/Physics/Biochemistry/Flexible Working/Manufacturing/Engineering/Defence/ more »

engineering, and who wants to play a significant role in a business that is constantly expanding. The Role: Justifying, defining and proposing project - cost analysis and dealing with stakeholders A multidisciplinary approach to mechanical, electrical, and chemical engineers' environment's product design and development Methods and analysis - statistical methodologies, Statistical analysis, modelling and simulation The Candidate Understanding of engineering processes, in particular systems engineering Critical thinker Experience of engineering design and problem solving Key words: R&D Engineer/Systems Engineering/Physics/Biochemistry/Flexible Working/Manufacturing/Engineering/Defence/ more »

and manage data requirements collaboratively with business partners. • Develop, maintain, and optimize data models and databases to improve data accuracy, accessibility, and reliability. • Apply statistical analysis methods to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI … techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate hypotheses for testing. • Design and implement data visualization techniques to present complex data insights in a user-friendly and intuitive manner. … solving business challenges. • Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing within the organization. • Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency. What You Will Need • Bachelor's degree in computer science, data, statistics, mathematics, or a more »

business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced machine learning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and nurture talent within the data science team, fostering growth … models. Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks. Strong problem-solving skills and the ability to translate business more »

time... conveying complex analytical information to clients - people are often excited about the client-facing nature of the position performing various types of data analysis - predictive systems modelling, failure analysis, statistical analysis etc. What experience do I need? Engineering graduates/Mechanical Engineering graduates/Automotive … Engineering graduates - essentially any Mech/Eng graduate degree Degrees inclusive of modules pertaining to Data Analysis/Stats etc. What's in it for you? you would be enrolled in a training scheme which prepares you for a fulfilling career within the space multi-faceted role - one day 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 »

setting? Do you have excellent interpersonal skills and enjoy helping customers? Formed over 30 years ago specifically to address Modelling, Simulation, Operational Research and Statistical Analysis for the Airline and Airport industry, and having gone from strength to strength ever since, our client has a brand new opening … roles) Proficient in MS Excel (sumifs, vlookups etc.) including, ideally, VBA - individuals with PowerBi would be of particular interest. Comfortable with data manipulation and statistical analysis As this role is to work within the exciting Saudi Team, which covers 26 Saudi Arabian Airports Operations there will be more »

Assist in the development and execution of Marketing Mix Modelling (MMM) projects to evaluate the effectiveness of marketing strategies across various channels. • Conduct data analysis, statistical modelling, and interpretation of results to provide actionable insights and recommendations to clients. • Collaborate with cross-functional teams to gather data, refine … following skills: • Bachelor's or Master's degree in Economics, Statistics, Mathematics, or a related field. • Strong analytical and quantitative skills, with proficiency in statistical analysis and econometric modelling. • Excellent communication skills, with the ability to effectively convey complex concepts and insights to both technical and non-technical … in a team environment, with a proactive and results-driven approach. • Proficiency in Microsoft Excel and PowerPoint; experience with R/Python for data analysis and visualisation is a plus. • Prior experience or coursework in marketing analytics, econometric modelling, or related fields is preferred but not required for recent 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 »

this would typically be co-ordinated with the support of a CRO, but knowledge of this process would be beneficial. Also, direct management and statistical analysis of analytical data sets (generated in-house) as well as verification planning and testing would be involved. Overall, efficient use, consistency and … many of the following as possible: Work experience gained through the development of a medical device, ideally an IVD; Experienced in the organisation and statistical analysis of data generated from clinical studies; Taken a medical device through V&V, with FDA and/or CE approval and launch 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 »

umbrella company) Our client, a leading innovator in data-driven decision-making, is seeking a Data Scientist to contribute to their product strategy through statistical analysis. This role requires a blend of statistical expertise and business acumen. You will play a key role in shaping product strategy by … conducting insightful analysis and presenting findings to stakeholders. This role presents an ideal opportunity for a self-motivated individual who excels in collaborative environments and possesses strong communication skills. About the Role: We are looking for a Data Scientist to conduct statistical analysis to support product strategy … decisions. Ideally you will have experience in data mining, statistical methods and modelling/scoring techniques. Responsibilities: Independently running analysis of large datasets, producing results and presenting these to business partners with the support of data science peers. Requirements: A degree in Computer Science, Mathematics, Statistics or Quantitative 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 »

Clinical Statistical Programmer; Global Pharma, Oncology - Remote - Permanent Proclinical is seeking a dedicated Clinical Statistical Programmer with a focus on Oncology. This is a remote permanent position. Primary Responsibilities: In this role, you will apply your biostatistics skills and experience to support the development of scientifically based arguments … part of our Global Biostatistics department, collaborating with multiple functional areas across the company. Skills & Requirements: Advanced degree (MSc or PhD). Proficiency in statistical programming, particularly SAS. Detailed knowledge of CDISC standards (SDTM, ADAM). Excellent communication skills, both written and verbal, with the ability to communicate complex … statistical concepts to non-statistical audiences. Ability to work effectively in a team environment and to manage multiple projects simultaneously. Attention to detail and the ability to prioritize tasks and meet tight timelines. The Clinical Statistical Programmer will: Support analysis and reporting on clinical projects. Collaborate more »

Any commercial experience through a placement year or post university in a data/analytical driven post will be highly advantages. Responsibilities: Utilise data analysis and data mining techniques to help the business understand customer intelligence, credit risk and price propositioning Specifying, implementing and maintaining databases in support of … the statistical model development and monitoring. Performing detailed and well documented analysis to support the development of the models. Apply Mathematical Modelling and Statistical analysis to segment customer groups accordingly Contribute to highly analytical scenario modelling to drive gross margin performance Support the business analytically on … monthly performance reporting Communicate complex MI to a non-statistical audience, present conclusions from analysis to enhance decision making with stakeholders Requirements: STEM based degree qualification (2;1 or above from a leading University) Further MSc in related discipline advantageous (desirable) Exceptional attention to detail with analytical mind more »

forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilise … Data Modelling: Develop and implement data models to support the organisation's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualisation: Create … communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service more »

needs and provide solutions to support their use cases. Develop and maintain predictive models to support forecasting and decision-making. Conduct ad-hoc data analysis to support specific business initiatives and projects. Stay up-to-date with new technologies and trends in the data analytics field and recommend improvements … to Client data analysis processes. Communicate findings and insights to stakeholders in a clear and concise manner, using both written and verbal communication. Essential Strong knowledge of SQL and experience with data analysis tools such as Excel, Tableau, and Power BI. Experience with data processing technologies such as … Apache Spark and Apache Flink. Knowledge of statistical analysis techniques and experience with programming languages such as Python, R, and SAS. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously. Passion for 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 »

mission is to transform data into actionable insights that drive strategic decisions and innovation across various industries. **Role and Responsibilities:** - Develop and implement advanced statistical models and machine learning algorithms. - Analyse large datasets to identify trends, patterns, and correlations. - Collaborate with cross-functional teams to understand business objectives and … or mathematical discipline (e.g., Computer Science, Mathematics, Physics, Statistics, Engineering). - Proficiency in programming languages such as Python, R, or Java. - Strong background in statistical analysis and machine learning techniques. - Experience with data visualisation tools (e.g., Tableau, Power BI) is a plus. - Excellent problem-solving skills and ability more »