a 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, Statisticalanalysis and Customer Support Strong communication skills Bachelors degree in Electrical Engineering or equivalent 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 statisticalanalysis 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 »
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 statisticalanalysis, machine learning, and time series analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving more »
EMEA. Key Duties & Responsibilities; Review and analyse processes, capture as-is process flows and highlight inefficiencies Sets up and captures time study elements Performs statisticalanalysis and cost estimates Provides analysis and input on physical layout design of workspaces for maximum flexibility and productivity, ensuring demand requirements … safe work environment Mock-up and test new processes and/or equipment including development of designed experiments for process and quality improvements Applies statistical methods to estimate future department needs and analyse product/process performance Identifies and resolves defects using proper engineering tools and techniques Estimate level more »
test and characterization methodologies for silicon carbide power semiconductor devices to understand their reliability and failure mechanisms in operation. Design experiments and co-ordinate statistical studies to determine device reliability, for example gate oxide lifetime marathon test, time-dependent dielectric breakdown. Develop screening and burn-in procedures for SiC … the field of semiconductor technology; Experience in reliability testing of SiC MOSFETs and diodes, both at wafer- and package-level; A good understanding of statisticalanalysis and design of experiments; Knowledge of semiconductor TCAD tools for device simulation, i.e. Synopsys Sentaurus, Silvaco Victory; Background in electronics engineering for 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 statisticalanalysis techniques and methodologies. Familiarity with data warehousing concepts and ETL processes. 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 statisticalanalysis, 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 »
of empirical modelling abilities, and will testing/calibration of existing and future models used by the firm in making investment decisions. Objectives include: Statisticalanalysis and research on financial data as part of a larger model evaluating securities Input on improvement and expansion of firm’s data … e.g. Python) and ability to implement empirical models and data pipelines in an end-to end fashion Hands-on experience with data querying, manipulation, analysis, and testing Ability to error-check data sets and models Ability to communicate technical and advanced concepts in a logical manner Familiarity with credit 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 statisticalanalysis Expert skills more »
Statistics Consultancy 4 days office, 1 day WfH Up to £70,000 + bonus Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … MatPlotLib etc Experience working with large datasets in SQL and RDBMSs, and ability to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statisticalanalysis and predictive modelling - you don’t need to more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statisticalanalysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »
Manchester, England, United Kingdom Hybrid / WFH Options
Roku
this role are expected to apply knowledge of experimental methodologies, statistics, Reinforcement Learning, Optimisation, Probability Theory, and Machine Learning using code for tool building, statisticalanalysis, and modelling, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a … up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models Model … training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level systems debugging, performance more »
to provide pivotal information to help the company continually grow. THE ROLE You can expect to be involved in the following day to day: Statisticalanalysis of multiple data sources Building scorecards and developing models using SAS and Python Providing credit strategy development Communicate analysis and results more »
in Data Engineering, including understanding of databases, data retrieval via query languages like SQL or Kusto, and experience with data management, data visualization, and statistical analysis. If this role is of interest, please do apply with your latest CV for an immediate review more »
and cyber security applications to safeguard users data · Prepare a report log on daily occurring queries to the development team · Monitoring data quality, performing statisticalanalysis of data Desirable Requirements · Strong knowledge about SQL data and Excel skills · ¾ years’ experience as a help desk Qualifications and Experience: · A more »
actions. Escalation to the relevant manager to support with resolution. Ensure that all components float levels accurately reflect the operational requirement by producing a statisticalanalysis so that any surplus or shortfall can be highlighted and rectified. Also ensure all reorder levels, minimum order quantities etc are set 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, statisticalanalysis plan, and study report development. Experience with secondary data analysis, including electronic medical record and/or medical claims databases, and … with statisticalanalysis 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 »
other financial institution Strong programming skills in C# and experience with SQL and database management systems Strong analytical and quantitative skills, and experience in statisticalanalysis, data modeling or machine learning desirable High levels of motivation and continually seeking to improve the performance of self and supportive of more »
in Data Engineering, including understanding of databases, data retrieval via query languages like SQL or Kusto, and experience with data management, data visualization, and statistical analysis. Required skills Specific role experience/qualifications Azure & Cloud AI Knowledge Relevant Networking and Security Knowledge Key Responsibilities: Ownership of the Customer Support 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 statisticalanalysis 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 statisticalanalysis of data generated from clinical studies; Taken a medical device through V&V, with FDA and/or CE approval and launch more »
and are accountable for the overall safety profile and all product-related decisions and deliverables for assigned products. You will also lead the Safety Analysis Team (SAT), Global Safety Team (GST) and are a core member of the Executive Safety Committee (ESC). You will serve as a member … and regional risk management plans including additional risk minimization measures Prepare/review safety sections of periodic aggregate reports Provide safety input to protocols, statisticalanalysis plans, and clinical study reports Prepare/review safety sections of new drug applications and other regulatory filings Serve as safety expert more »
Bristol, England, United Kingdom Hybrid / WFH Options
Anson McCade
services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statisticalanalysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »
Manchester, England, United Kingdom Hybrid / WFH Options
Anson McCade
services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statisticalanalysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
quality and integrity Build, calibrate, and validate marketing mix models to assess the impact of different marketing channels on business outcomes Conduct in-depth statistical analyses to uncover patterns, trends, and opportunities for optimisation Communicate findings and recommendations to both technical and non-technical stakeholders through clear and compelling … reports Skills & Experience Experience in econometrics or marketing attribution Strong statistical knowledge Skilled in model development, particularly marketing mix models. Proficiency in statistical software such as R, Python, Eviews or similar Strong communication skills The Benefits £400-£450 per day, outside IR35 and an initial 3 month contract … please send your CV to Luke via the Apply Link on this page. Desired Skills and Experience - Experience in econometrics or marketing attribution - Strong statistical knowledge - Skilled in model development, particularly marketing mix models. - Proficiency in statistical software such as R, Python, Eviews or similar - Strong communication skills more »
Experience working on a remote team Fluent in written and spoken English Responsibilities Include Design and develop machine learning and deep learning systems Perform statisticalanalysis Train and retrain systems to optimise performance. Run machine learning tests and experiments Implement appropriate ML algorithms Keep up with the latest more »