for collecting, organizing, and analyzing financial data to provide insights and support decision-making within the organization. The ideal candidate should have exceptional analytical skills, and proficiency in data analysis tools and techniques, preferably within Finance function. What We're Looking For Responsibilities Bachelor's degree in BI and Analytics or related field. (Master's degree preferred) At least … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statisticalanalysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statisticalanalysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of More ❯
Chelsea and Westminster Hospital NHS Foundation Trust
Users Services (SUS), Service Level Agreement Monitoring (SLAM), Mental Health, Community and High-Cost Drugs for North West London. The role focuses on the data extraction and complex quantitative analysis for methodology that addresses defined research questions. Analytical tasks will also be required to complete feasibility scans for potential studies, whilst approved exploratory work will help a stakeholder's … characterise the issues they face, the options they have, or to evaluate the impact of changes made. This requires the postholder to understand why analysis is being undertaken, how the outputs are intended to be used, as well as helping to define how we should undertake the particular method of analysis. The role also leads on and builds data … science models in R or Python to meet user needs using statisticalanalysis, machine learning and AI approaches. Main duties of the job Key responsibilities include: Supporting client-facing responsibilities, leading on data modelling and analysis for several concurrent projects. Supporting the writing of proposals to meet client project briefs, including resource requirements, cost estimates and timescales More ❯
model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statisticalanalysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statisticalanalysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statisticalanalysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯
model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statisticalanalysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statisticalanalysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statisticalanalysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯
Farnborough, Hampshire, United Kingdom Hybrid / WFH Options
Syneos Health, Inc
like they belong. Job Responsibilities • Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statisticalanalysis plan and programming specifications. • Works to ensure that outputs meet quality standards and project requirements. • Performs validation programming and works with other Programmers, Biostatisticians, and other project … sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. • Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines allvariables to be accepted by peer review and sponsor … projects and initiatives as necessary to meet the needs of the business. • Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted. • Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on More ❯
Responsible for all statistical programming/data review reporting and analytics development aspects of several studies, a medium to large sized project or project-level activities. Acts as a key collaborator and strategic partner in ensuring that drug-development plans are executed efficiently with timely and high quality deliverables. Complies with project/study standards and specifications following internal … and regulatory guidelines. Oversees programming style, quality of statistical reporting & compliance with timelines. About the Role Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people's lives. To do this, we are optimizing and strengthening our processes and ways of working. We are investing in new technologies and building specific therapeutic area … and help give people with disease and their families a brighter future to look forward to. Apply today and welcome to where we thrive together! The Role The Principal Statistical Programmer is responsible for all statistical programming aspects of a large/pivotal study, several studies or project-level activities (incl. submission activities). The position is a More ❯
responsibilities - Serve as the Voice of the Customer from initial concept creation to launch, and subsequent support of the product. - Drive product development efforts, including research, requirements definition, metrics analysis, technical specifications, development, and launch efforts. - Assist in developing new products by evaluating the business and competitive landscape, understanding customer needs and value drivers. - Write business and product requirements … tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statisticalanalysis, reliability analysis, and decision making - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning More ❯
including robotics and high-speed 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, statisticalanalysis, reliability analysis, and decision making, • Experience must involve ownership/management of engineering design projects, • Experience using business/technical software like MS Excel More ❯
the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims … with emerging trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify … data visualisation, reports, and presentations. Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling processes. Perform statisticalanalysis, machine learning, and data mining to support various business needs. Participate in Agile or Kanban methodologies, contributing to a collaborative and More ❯
fraud, not customers. See what others can't at What you'll achieve: As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support … data-driven decision-making across the organization. Essential Duties Understand business problems and conduct statisticalanalysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence … in the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform data mining, exploration, and statisticalanalysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and More ❯
Stoke Gifford, Bristol, Avon, England, United Kingdom
Sanderson
complex speech data into understandable business intelligence. Support the wider MI & Insights teams, working collaboratively to deliver an output which is greater than the sum of its parts. Providing statisticalanalysis to provide insights and analysis that facilitates continuous improvement and risk mitigation. What We're Looking For Experience in extracting and analysing data to uncover trends … and fine-tune models for accuracy. Strong analytical skills to provide actionable insights that enhance customer experience and operational efficiency. Knowledge of Python, SQL, or R for data extraction, statisticalanalysis, and dashboard/report development. Strong Stake holder management skills with the ability to communicate analytical findings to leadership, customer experience teams, and other key stakeholders. Team More ❯
shape data strategies. Key responsibilities As a Data Analyst, your roles will vary based on client needs. The position is hands-on, supporting projects with a focus on: Data analysis and reporting: Conduct in-depth analyses, generate reports, and provide actionable insights. Data and BI visualisation: Create dashboards using tools like Power BI, Tableau, Quicksight. Client interaction: Understand client … and present findings clearly. You will ensure outcomes for users are delivered, considering the broader context of each delivery and aligning operational and analytical aspects. Skills, knowledge, and expertise Analysis and synthesis Application of analytical techniques: Proficiency in statisticalanalysis, data mining, qualitative analysis, selecting appropriate methods based on context. Synthesis of research data: Experience in … and linkage: Experience with validation checks and data merging. Data preparation: Handling missing data and duplicates. Communication: Discussing data limitations with guidance. Peer reviews: Participating to improve data quality. Statistical Methods and Data Analysis Knowledge of statistical methods: Familiarity with hypothesis testing, regression, clustering; eagerness to learn appropriate applications. Analysis and interpretation: Using software or programming More ❯
and strategic decision-making and planning to maximize client service and meet accountabilities required by funders. The incumbent is responsible for the provision of data utilization and decision support analysis, monthly and quarterly reporting, management of data quality, administration of risk-management initiatives and EMHware, and support for continuous quality improvement initiatives, contributing to the Agency's ability to … achieve identified strategic objectives. Key Responsibilities: Provides Data Utilization and Decision Support Analysis: Analyzes and compiles data from a variety of sources within the customer agency clinical database into meaningful information to support informed, evidence-based, operational, and strategic decisions. Prepares monthly service data reporting for quarterly report submissions to funders. Prepares CAPS service targets with customer clinical management … asset. French Language proficiency considered an asset. Knowledge, Skills and Abilities: Computer applications, Microsoft Office preferred, (relational database, word processing, spreadsheet, presentation, email) as well as internet research and statisticalanalysis software. Well-developed abilities in statisticalanalysis and report generation. Knowledge of Management Information Systems (MIS) software and Ontario Health Reporting System (OHRS). Demonstrated More ❯
Oxford, Oxfordshire, United Kingdom Hybrid / WFH Options
Ultromics
hand with internal and external research and development teams to design high impact pre-clinical, pivotal, and post-market research projects, oversee completion of data collection, and lead the analysis and dissemination of scientific communications. You will play a key role throughout the product lifecycle, collaborating with AI Scientists, Software Engineers, Product Teams, Marketing and Market Access, and Regulatory … diagnostic and prognostic tools into the clinical workflow. Your Responsibilities Lead in the development of research and development protocols, including literature reviews, data selection mechanisms, data management plans, and statisticalanalysis plans. Contribute to product design and subsequent market authorisation validation, including clinical and research design input Artificial Intelligence and Computer Vision (AICV) process. Contribute to statisticalanalysis of clinical and imaging data for diagnostic and prognostic research. Contribute to scientific communication to internal and external audiences, including company presentations, cross-departmental presentations, conference presentations, and scientific manuscripts. Support market access and business development activities to develop and refine clinical and business use cases, including return on investment and cost-effectiveness evidence Collaborate with internal More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Bupa
of the business line and translate that into insightful outputs that help the business move forward. You will collaborate with and leverage the team's business intelligence capabilities and statisticalanalysis to extract valuable insights and discover opportunities to support the business units. Additionally, you will work to ensure that all visualisations and communications are compliant with applicable … of the business line and translate that into insightful outputs that help the business move forward. You will collaborate with and leverage the team's business intelligence capabilities and statisticalanalysis to extract valuable insights and discover opportunities to support the business units. Additionally, you will work to ensure that all visualisations and communications are compliant with applicable More ❯
professional with a passion for leveraging data science to drive impactful solutions in marketing performance measurement and client-facing data science initiatives. With a strong foundation in predictive modelling, statisticalanalysis, and machine learning, you excel in developing complex algorithms and pipelines to support strategic goals and enhance optimisation capabilities. Your advanced technical skills, commercial awareness, and collaborative … forward-looking environment. Proven proficiency in Python and SQL, demonstrated through the development of complex data science solutions in a commercial environment. Demonstrable experience in machine learning model development, statisticalanalysis, and experiment design, gained through either an advanced quantitative degree or equivalent industry experience. Hands-on experience with cloud platforms (AWS or Azure)and MLOps tools for More ❯
scope includes products such as stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statisticalanalysis and mathematical models to enhance business performance and collaborate closely with traders and sales to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative … Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statisticalanalysis and techniques like neural networks to create models that inform systematic trading and risk management decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other methods. Create model … calibration frameworks for advanced statistical and AI models, handling large-scale time series data. Advance our market making strategies using diverse technologies and collaborate with Quant Developers and engineering teams. Basic Qualifications Strong academic background in physics, mathematics, statistics, engineering, or computer science. Proficient programming skills in languages such as C++, Java, or Python. Self-motivated with excellent self More ❯
product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We deploy statisticalanalysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead … our Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives. Utilize advanced statisticalanalysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using … factor models and other techniques. Develop model calibration frameworks for our statistical and AI models, operating at scale with large datasets of time series data. Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or More ❯
as stock, options, ETFs and futures, with strategies including market making, automatic quoting, central risk books, systematic trading and algorithmic execution, trading on venues around the world. We deploy statisticalanalysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the … firm. Role Responsibilities Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives. Use advanced statisticalanalysis and quantitative techniques such as neural networks to build models that drive systematic strategies which make trading and risk management decisions in real time. Implement frameworks to … manage risk centrally and build optimal portfolios across asset classes using factor models and other techniques Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams Basic More ❯
systems. Reporting : Contribute to the creation of risk reports and dashboards by preparing visualisations and summaries. Help tailor reports for different audiences, including operational teams and senior management Data Analysis : Perform preliminary analysis to identify trends and anomalies in risk and control data. Support the team in monitoring main risk and control indicators. Collaboration : Work with senior analysts … of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at . Experience and Skills What you'll bring: Numerical skills associated with statisticalanalysis, trend analysis, and data visualisation to identify key insights. Ability to deliver reports via analytics and reporting tools (e.g., Power BI, Tableau, Excel, SQL) Experience with More ❯
Emersons Green, Bristol, Avon, England, United Kingdom
Gregory Martin International
sits within the Consultancy side of their business who work in partnership with the defence sector, national government bodies, international institutions and global prime contractors on enterprise transformation, feasibility analysis, systems engineering, programme delivery and support. As an Analytical Consultant, you will be providing the evidence to help the MOD/Government to make better decisions. This may be … support procurement decisions or supporting workshops with customers and stakeholders to improve polices and planning. Our client’s recent successes within UK MOD mean that the company’s Operational Analysis team are looking for consultants who can help them grow and deliver the business. They are interested in people who engage customers technically and personally, with the ability to … provide analytical insight. Responsibilities for the Senior Operational Analyst Consultant will include: Delivering technical consulting projects. · Experience on qualitative and quantitative analysis Identifying and winning work within the MOD/Defence sector. Developing and using a variety of analytical tools and techniques Writing reports and presenting to customers Building new relationships and maintaining the relationships they have with their More ❯
big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with … such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong More ❯
play a crucial role in analysing and interpreting complex data sets to provide actionable insights and strategic recommendations to support Solera's business objectives. What You'll Do • Data Analysis and Interpretation: Collect, analyse, and interpret large volumes of structured and unstructured data from various sources to identify trends, patterns, and insights relevant to Solera's business operations. • Report … reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI) to present data-driven insights in a clear and concise manner to stakeholders. • Data Modelling and Forecasting: Utilize statistical techniques and predictive modelling to identify opportunities for business growth, optimize operational efficiencies, and support data-driven decision-making processes. • Performance Monitoring: Monitor and evaluate key performance indicators (KPIs … Experience working with large datasets and using BI tools (e.g., Tableau, Power BI) is required. • Technical Skills: Proficiency in SQL for data manipulation and extraction. Advanced knowledge of data analysis techniques, statisticalanalysis, and predictive modelling. Familiarity with data visualization tools and techniques. • Business Acumen: Understanding of business operations, key performance indicators (KPIs), and the ability to More ❯
seeing the bigger picture, connecting the dots, and helping the business make smarter, faster decisions.You'll work closely with the Finance Director and Business Change Manager to deliver reporting, analysis and decision support that helps them improve their business performance and support their long-term ambition to double output by 2030.As they mature their data capability, this role will … you'll need to succeed Degree qualified in a relevant field (e.g. Maths, Economics, Data Science, Business Analytics, Business Studies) Proven senior level experience in a business intelligence, data analysis, or business analysis role with strong Power BI, Excel and SQL capabilities Strong analytical and critical thinking skills with the ability to "get to the root" of business … stakeholder management and requirements gathering Experience creating intuitive dashboards and visual outputs in Power BI to engage a range of audiences Understanding of business case development and cost-benefit analysis Knowledge of project management methodologies and UAT coordination Understanding of CRM or ERP data structures-Coins ERP is a bonus Desirable Skills Knowledge of housing, construction or property sectors More ❯
workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support … International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statisticalanalysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … for claims and underwriting Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results. Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using More ❯