26 to 50 of 80 Permanent Statistical Analysis Jobs

least one of the following:* + Modelling, Simulation & Digital Twins + Optimisation + Machine Learning, Data Science and applied AI techniques* Solid grasp of statistical analysis, experimental design, and data visualisation.* Experience applying AI or advanced analytics in operational or asset‐intensive environments.* Ability to communicate complex technical ...

with a willingness to learn and adapt Bonus Points For: Experience in CRO, experimentation, or personalisation Background in project or account management Familiarity with statistical analysis or experiment design Experience with tools like Tableau or Power BI Knowledge of HTML, CSS, JavaScript, or Chrome DevTools Skills ...

role involves exploring multimodal datasets, extracting insights, and contributing to model improvements and data strategy decisions. Key skills and requirements, A solid background in statistical analysis and applied research methods, enabling progression from ambiguous questions to thorough and reproducible analyses. Direct experience working with time series and sensor … data—especially from mobile devices or wearables—including strategies for managing irregular sampling, noise, and missing data. Advanced skills in Python for data analysis, utilizing tools such as pandas, NumPy, SciPy, and a range of visualization libraries (matplotlib, seaborn, etc.). Expertise in designing and executing controlled data experiments ...

medical device company developing next-generation diagnostic systems combining hardware, software & data science Are you a Software Engineer with an interest in algorithms, data analysis, or machine learning, and how software interacts with real-world hardware systems? Do you want to work on end-to-end product development, from … processing, or mathematical modelling Interest in hardware/software integration, embedded systems, or real-time data Any experience with machine learning, signal processing, or statistical analysis would be highly beneficial Experience in a regulated industry (medical, automotive, aerospace) is useful but not essential Software Engineer responsibilities: Develop software ...

engaging to the player Use spreadsheets and simulation to create the best gaming experience possible Ensure all games meet necessary jurisdictional compliance requirements Provide statistical summaries that can be easily understood by non-mathematicians Work with game designers to turn game ideas into practical math models Review proposed designs … features and suggest alternatives when necessary. Provide detailed statistical analysis of ideas under review. Put forward your own game design ideas Work with the Engineering Teams that create the math model in a game Document model data, structure and implementation details Validate that game engine statistics match ...

engagement tools. Building predictive and personalization models and deploying products at scale. What should my background look like? You’ll come from a strong statistical analysis/mathematical background with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, have ...

into production. Nice to Haves These are helpful, but not essential: Cybersecurity experience Penetration testing exposure Vulnerability management knowledge Agent-based system design Content analysis or anomaly detection experience MLOps understanding Enterprise environment experience Change control awareness KPI or ROI tracking experience Leadership or mentoring capability Product or solutions … tasks and report findings back LLM-powered reporting and consultant support tools AI modules for external, web, cloud, and later internal testing use cases Statistical analysis and machine learning models for wider business applications over time Reusable AI services that can eventually support multiple products and business units ...

technical and business judgment to address client challenges and offer new insights Work independently, or as part of a team, to deliver rigorous quantitative analysis, impactful visualisations, and compelling presentations Be comfortable working with ambiguity and flexible to changing client requirements Manage junior staff on project teams, with … focus sectors Demonstrated strong analytical and interpersonal skills Expertise in Data engineering: Relational databases, big data technologies, and data pipeline development. Data analytics: Statistical analysis, geospatial modelling, machine learning, and visualisation. Ability to communicate findings to multiple audiences Track record of independently managing workstreams/projects Self-driven ...

hands-on role across a variety of plant facilities services and equipment. The position requires proactive approach to problem-solving and failure analysis, focused on identifying opportunities for improvement and establishing failure prevention through implementation of both preventive and predictive maintenance strategies on plant services equipment, critical infrastructure … that can improve equipment performance and reliability. Analyse the failure modes of equipment and systems to prevent failures and downtime using FMECA and apply statistical analysis to predict future system reliability and risk of failure. Work closely with other engineers and professionals to design out failure where necessary ...

simulation at transistor level Knowledge in CAD tools and PDK installation Ability to collaborate with experienced people having different technical profiles. Strong understanding of statistical analysis, strong analytical and problem-solving skills Ability to plan, coordinate and take responsibility for effective and on-time completion of project activities ...

quality standards, and QMS. Experience maintaining Technical Files, GSRPCs, Risk Management Files, Usability Files, Design History Files, MVPs, and Change Control documentation. Experience with statistical analysis. Knowledge of Software as a Medical Device (SaMD) or software within medical devices. Experience collaborating with teams under design controls during new product ...

role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This role requires a deep understanding of both … that strategy in a complex and dynamic investigations environment Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed Has experience in translating non-technical business requirements into analytical solutions Is a qualified ...

internal and external stakeholders to ensure all our processes comply with the relevant standards and regulations. Collate and provide KPI's, trend data and statistical analysis for Management Review and any other review boards where requested. Provide guidance on Risk Management activities. Provide guidance, support and maintain … Conformance/Deviation system. Provide guidance and perform Root Cause Analysis into CAPA investigations. Assist in the review of Technical, Medical Device and Design History Files. Create, review, advise and provide guidance on interpretation of SOP's. Review, advise and provide guidance on interpretation of Regulatory requirements Review Verification ...

errors. Discuss issues with the software provider where necessary. Under direct supervision, designs and prepares standard and ad hoc reports, dashboards, and summaries for statistical analysis and planning purposes on both a regular basis to meet organisational needs, and on an ad hoc basis as requested ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...

technology roles within materials, chemicals, packaging, or industrial solutions. 5+ years leading innovation program portfolios with measurable business impact. Proficiency with lean innovation, statistical analysis tools, and data-driven decision-making. Expertise in VOC methodologies and business case evaluation using the Desirability-Viability-Feasibility framework. Strong strategic thinking ...