1 to 25 of 51 Statistical Analysis Jobs with Hybrid or WFH Options

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 »

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 »

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 »

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 »

data modelling. A strong problem solving mindset. Nice to have: Experience working with Radar. Previous experience in the Insurance industry. Responsibilities: Production of business analysis reports. Maintenance of analysis programs written in SAS, RADAR, and other software packages. Write new analysis code using SAS, RADAR, and other … EMBLEM, and other software packages. Monitor, maintain, update and improve existing predictive models. Produce timely and accurate information for management decision-making purposes. Apply statistical techniques including generalised linear modelling and non-linear methods to improve the performance of the company. Qualifications: Minimum 2:1 in a numerical undergraduate … discipline Strong background in statistical methods Experience of personal lines insurance analysis is an advantage Experience of SAS, Emblem, Excel and advanced statistical techniques Strong mathematical skills Strong problem-solving skills, with the ability to adopt a logical approach to solving problems Excellent data and statistical 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 »

analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers and business experts to scope and design the … Science tools and processes Experience with Azure, Amazon or Google cloud architecture Knowledge of the data landscape in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency more »

for: Designing, creating, and managing efficient data pipelines for handling large data volumes effectively, whilst deploying real-time processing for prompt analyses. Applying advanced statistical techniques and predictive modeling to recognise patterns and anomalies in extensive datasets, facilitating informed decision-making. Collaborating closely with engineering and product teams to … with large-scale, high-velocity data sets involving billions of records per day. You must be proficient in programming languages and tools for data analysis, such as Python, R, and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong … understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could have experience with cloud-based big data architectures and services (AWS, GCP, Azure), a background in data visualisation and tools (Tableau/Power BI) and/or have relevant contributions more »

integrity once released to production. The candidate will work both collaboratively and alone to understand available data sources & models, define and construct datasets for analysis applying ETL/ELT principles, and build reporting/insights to communicate status and observations to consumers. As a team we work end-to … C#) programming capability in .Net environment Powershell SQL Server administration Familiarity with Visual Studio IDE Understanding of Data Science, Machine Learning and/or Statistical concepts Experience with statistical analysis in R or Python Experience with Azure Data Explorer Development of ETL & ELT pipelines Familiarity with NoSql 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 »

Intelligence Reports/Dashboards, and other Analytic solutions within the BSA/AML/OFAC Compliance Domain. Delivery of situation-based, ad-hoc data analysis and insights as requested to support business needs related to projects, audits/exams, and business challenges. Preparing and presenting advised data-driven insights … Tuning/Optimization 5+ years experience managing or leading a team is desired. 5+ years experience with SQL, Data Visualization Tools (e.g PowerBI), and Statistical Analysis Language (e.g. Python) 3+ Years Applied experience in the Field of AML, OFAC, Fraud, Financial Crimes or other transferable field. Benefits Medical more »

advancing Study Group's transition to a more data-driven culture, all while supporting data governance initiatives. ABOUT THE ROLE Undertake simple and complex statistical analysis of a variety of different datasets whilst producing (and monitoring) performance measures, modelling scenarios and outcomes as necessary, for a variety of … Protection Act and the implications for the work – advising stakeholders as appropriate. Work collaboratively with other colleagues to share knowledge and understanding of data analysis tools and techniques to ensure that data is effectively used. This will also involve informing discussions on appropriate systems, databases, platforms, software and data more »

PAS 2035-compliant from assessment to evaluation and checking all designs, specifications and assessments for strict PAS 2035 compliance. Overseeing robust property, energy, and statistical data analysis using tools like Excel and SAP and RdSAP, and making retrofit decisions based on that data. Leading dwelling assessment analysis … in housing or retrofit). Experience of using SAP/RdSap software or equivalent with a comprehensive understanding of PAS2035 retrofit requirements. Have strong statistical analysis skills and able to use Microsoft Excel to analyse data. Be a great influencer, with the ability to effect change among customers … in our office at One Strawberry Lane, Newcastle city centre and others on site/property inspections. Able to use technology for data collection, analysis, reporting, record keeping as well as online learning and collaborating with colleagues. A place where you belong Great things happen when we can be more »

As an international service provider for pharmaceutical research, Numerus provides high-quality statistical analysis as our contribution to improving healthcare through medicine. Headquartered in the UK, west of London, and with offices in Germany and Switzerland we are proud to be the analytical service provider of choice for … are actively looking to expand our team in Wokingham with a permanent position on a full or part-time basis. Your role: Applying innovative statistical approaches to solve novel data challenges Leading projects, ensuring efficient project management, compliance, and high-quality deliverables Analysing phase III clinical trial data in … order to support HTA submissions Providing statistical consultancy to internal and external customers Planning, analysing, and visualising observational and real-world data Supporting systematic literature reviews, data extraction, and analysis Critically appraising quality and reliability of data sources to support HTA decision-making Mentoring junior colleagues Contributing 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 »

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 »

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 »

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 »

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 »

wide range of audiences. Extremely self-motivated and able to operate independently. Strong programming skills in languages such as Python Outstanding quantitative modelling and statistical analysis skills BENEFITS: Pension scheme Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply more »

for a B-Corp company. Friday afternoons off and excellent benefits. You’ll be coming into this agency to support their clients across insights, analysis and BI solutions! What you’ll be doing Join a friendly team, reporting to the Director of Data, where you can grow your career … stuck in from day one! What experience you’ll need to apply Strong background in business intelligence and analytics SQL experience Excellent PowerBI experience Statistical analysis experience using Python or R Appreciation of customer, marketing & digital analytics Able to spot opportunities for predictive analytics Excellent stakeholder management experience more »

can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small … future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and other … leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders Have expertise more »

closely with our customers, supported by your colleagues across Ripjar, to ensure they have the best experience using our software (with a focus on statistical attributes). Collaborations with our customers are mostly remote, though can also be on-site when required. When not working directly with customers, you … being familiar with standard data science tools (e.g numpy, pandas, sklearn, visualisation packages) Working knowledge of machine learning and other algorithms. Confident in performing statistical analysis of large datasets, including evaluating the results of experiments you design and execute Understand the nuances of dealing with structured and unstructured … people from different backgrounds, genders and experiences ensures that we make decisions with a truly global perspective. Diversity gives us strength in our technology, analysis and relationships." - Maria Cox, Head of People Operations Links we think you might like!! Profile Summaries (generated using LLMs) - feature launch AI Risk Profiles more »