11 of 11 Permanent Statistical Analysis Jobs in the East of England

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 ❯

experience with Microsoft Power Platform and tools. Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience applying a range of statistical analyses to practical decision-making contexts. Experience with web-based data visualization tools (PowerBI, Tableau, D3, Google Charts) and data visualization design principles. Strong foundation in business intelligence principles. More ❯

visible to Ring/Amazon leadership, and will drive key strategic company goals. The Business Intelligence Engineer, Ring Decision Sciences Platform BI team will develop models and tools, conduct statistical analyses, evaluate large data sets, and create tailored models and dashboards. Additionally, you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and … extracting, integrating, and analyzing critical data Anticipate, identify, structure, and solve critical problems Design and develop key performance metrics and indicators using standardized and custom reports Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases. Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and … within Decision Sciences and the team where this role is based) is responsible for core business metrics, shared data models, AI/ML models, business intelligence dashboards, and business analysis/science support. BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience More ❯

development in the form of thought leadership, market indicators, and analytical tools. You'll work across both traditional and cloud-based platforms, using your expertise in big data processing, statistical analysis and machine learning to deliver scalable and meaningful outcomes. Key responsibilities As a Data Scientist you will Promote data governance, security, and best practices in managing large … closed with business stakeholders to understand data requirements and translate them into technical solutions. Ensure deployment and operationalization of both traditional and cloud applications. Participate in scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment. Provide technical expertise and ownership in the diagnosis and resolution of issues, including the determination and More ❯

Job Title: Computational Scientist - Bioinformatics Location: Colworth Science Park JOB PURPOSE As a Bioinformatician at Unilever, you will utilise your scientific expertise in bioinformatics to conduct research and data analysis, advancing our product safety assessment methods. Based in the dynamic environment of our Safety, Environmental & Regulatory Science (SERS) team near Bedford, UK, you will join a team of bioinformaticians … have: A master's or PhD degree in bioinformatics, computational biology, statistics, data science or a related scientific discipline, or equivalent previous experience working in industry Demonstrated understanding of statistical analysis and application of mathematical techniques to complex biological data including microbiome data (shotgun, 16S rRNA) and human transcriptomic experiments (RNA-seq) Familiarity with common bioinformatics databases, resources … and tools in the microbiology and human biology areas, as well as experience performing biological network and pathway analysis and data interpretation Strong problem definition, solving and technical expertise with demonstrated programming skills in Python and/or R Problem solving skills in a fast-moving environment, keeping pace with advances in bioinformatics and to enjoy challenging goals High More ❯

the business Key Accountabilities • Partner with other support departments to discover and deliver projects that use data and statistics in identifying trends and optimisation to support decision making • Perform statistical analysis on our customer base and formulate either pricing strategies or commercial strategies to optimise revenue. • Deliver insights to drive business decisions and design algorithms that can be … an answer. • A sound understanding of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. • Experience using statistical software and programming using R, SQL, Python or similar in datasets. • Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations More ❯

business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for More ❯

to gather requirements and translate them into actionable technical specifications. Oversee the development and maintenance of production-grade Python applications for machine learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize More ❯

Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code reviews, testing, and debugging to ensure More ❯

Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code reviews, testing, and debugging to ensure More ❯

Requirements Bachelor's degree in a related field or equivalent experience. Proven experience in quality assurance within an electronics manufacturing environment. Working knowledge of quality improvement, problem-solving, and analysis techniques Strong verbal and written communication skills for internal and external engagement. Strong interpersonal skills for collaboration with all company areas and external bodies. Proficiency in spreadsheets and statistical analysis, including data collection and management. Excellent attention to detail and problem-solving skills. Strong planning, organisation, and critical/logical thinking abilities. Teamwork, collaboration, and facilitation skills to resolve issues and lead continuous quality improvement. Knowledge of electronic component reliability and failure mechanisms is highly desirable If you are interested in the role of Quality Assurance Manager More ❯