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/ More ❯
planning and administering patient care. Responsible for supporting the Head of Analytics in the seamless delivery of bespoke robust business intelligence (information and performance analysis) to stakeholders across our clinical divisions Core focus on the provision of bespoke analysis to operational and clinical customers by using analytics techniques … including regular performance dashboards, demand and capacity modelling, business planning, statisticalanalysis, and responding to ad hoc queries for information and analysis. Working as an 'Analytical Business Partner', you will ensure that operational and clinical colleagues in the Operational Division have timely access to the insights they require … to make strategic and tactical decisions. You will also have experience in working with benchmarking tools, activity forecasting, modelling, and statistical analysis. You will have proven experience in using SQL querying for analysis and programming languages such R or Python. Main duties of the job Provide specialist advice More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
HipHopTune Media
candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statisticalanalysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key … develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable … data pipelines for efficient data processing and analysis Create compelling data visualisations and reports to communicate findings to both technical and non-technical stakeholders Mentor junior data scientists and contribute to the overall growth of the data science team Stay abreast of the latest advancements in data science and More ❯
new data sources and building comprehensive data visualizations for key stakeholders. You will mine data, identify data co-relation across different functional areas, run statisticalanalysis, gather insights and make recommendations based on your findings to help senior leaders make key business decisions. Data analysis is at … SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statisticalanalysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice More ❯
in vast amounts of data and make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, statisticalanalysis, and building high-quality prediction systems integrated with our products. A data scientist is someone who creates value from data. Such a … learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. They should also be able to perform statistical analysis. Requirements Python for DS (the usuals pandas plotting etc) Modelling skills for both ML applications and data reporting SQL at least basics but … and written, and must be comfortable delivering presentations and facilitating workshops Key Accountability Cleaning and preparation of large data sources in different formats for analysisAnalysis of data for identifying trends and correlations Development of predictive & generative models Design and development of databases Organisation, interpretation, and visualisation of More ❯
key insights from data. You will contribute to the long-term vision for the team, conduct data analyses, identify high-impact opportunities for predictive analysis and business experimentation, improve data integrity, create metrics that fill knowledge gaps, model and visualize data patterns, support data reporting needs, and analyze the … date reporting using SQL, Excel, and other scripting languages. Conduct audits and build insightful visualizations using Tableau, QuickSight, etc. Have a basic understanding of statisticalanalysis, identifying trends, and making recommendations based on data analysis. Additional requirements: Experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Experience … with data visualization tools like Tableau, Quicksight, or similar. Experience with data modeling, warehousing, and building ETL pipelines. Experience with statisticalanalysis packages such as R, SAS, or Matlab. Proficiency in SQL and scripting (Python) for data processing and modeling. Experience with AWS solutions like EC2, DynamoDB, S3 More ❯
successes and failures and using these insights to create best practices for testing exercises. Developing our approach to uncertainty quantification and significance testing, increasing statistical power (given time and token constraints). Developing methods for inferring model capabilities across given domains from task or benchmark success rates, and assigning … with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Conducting in-depth analysis of evaluations methodology and results, diagnosing possible sources of uncertainty or bias, to improve our confidence in estimates of AI system capabilities. Improving the … statisticalanalysis of evaluations results (e.g. model selection, hypothesis testing, significance testing, uncertainty quantification). Developing and implementing internal best-practices and protocols for evaluations and testing exercises. Staying well informed of the details and strengths and weaknesses of evaluations across domains in AISI and the state of More ❯
and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & StatisticalAnalysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using … Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & StatisticalAnalysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A More ❯
prepare descriptive epidemiology, contribute to the production of outbreak reports, investigate exceedances and interview cases and controls.2. Undertake complex analytical tasks and use common statistical, database and mapping software and tools to support analysis such as producing tables, graphs, maps etc. and developing advanced queries. Surveillance and data … analysis 3. Maintain and improve databases for surveillance of infectious diseases, test functionality of new surveillance systems, validate the quality of surveillance data including use of automated routines and through audit and produce and update Standard Operating Procedures.4. Have knowledge of, apply and interpret basic statistical tests, conduct … statistical analyses of surveillance data, produce reports and outputs using common statistical/database/mapping tools such as Stata, R, ArcGIS, network analysis, SQL, etc, respond to routine and more complex data requests and produce routine surveillance reports, including basic descriptive analysis and interpretation of More ❯
has a wide remit including automatic quoting, optimizing hedging decisions, and developing algorithms to trade derivatives on venues around the world. We also deploy statisticalanalysis techniques and mathematical models to enhance the decision-making process, with the overall aim of improving business performance while working closely with … Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes using factor models and other techniques. Perform systematic and quantitative analysis of flows and market data, driving business strategy and the design of our quantitative market making platform. Use advanced statisticalanalysis and More ❯
The Junior Risk Analyst provides support to the Risk Reporting & Analytics team by assisting with data collection, analysis, and reporting. This entry-level role focuses on building foundational skills in risk analytics and contributing to the accuracy of risk insights and reports. Reporting to the Head of Business Control … 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 key risk and control indicators. … people across 32 countries. Experience and Skills What you'll bring: Numerical and analytical skills with a willingness to learn advanced techniques 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 More ❯
as well as helping us to protect you and your colleagues. Job responsibilities Provide specialist analytical support, interpretation and reporting. Communicate complex analytical/statistical results to a range of key stakeholders across the Trust. To present findings where appropriate. Analyse, investigate and resolve complex statistical queries where … to support the Trusts Strategy and operational processes. Analyse and interpret trends, advise on information for service planning, undertake activity forecasting, demand and capacity analysis as required. Create reports and dashboards which support operational oversight and management of Diagnostic activity Co-ordinate and summarise information from other departments. Assist … released nationally Support the maintenance of central data files and reference tables on the Trusts Management Information System. Develop and deliver formal and complex statistical presentations Be the main point of contact for advising on and providing complex statisticalanalysis of Trust performance information Please see attached More ❯
Digital Pathology Image Analysis - Data Scientist/Bioinformatician At HistologiX we support our clients' cutting-edge research, helping innovative biopharmaceuticals, monoclonal antibodies, biomarkers and immuno-oncology treatments gain regulatory approval. We are a niche GLP and GCP compliant laboratory with our experienced scientific team providing specialist immunohistochemistry (IHC), histology … digital pathology and image analysis solutions, working with pharmaceutical and biotechnology companies worldwide. Due to continued growth, we have an exciting opportunity for you to strengthen our Image Analysis group and support the increasing demand for digital pathology projects. Are you proficient in data manipulation, statistical approaches … and deployment of relevant software e.g. R and RStudio? Do you have a grasp of programming languages such as Python? Are you familiar with statisticalanalysis and data visualization tools, ideally GraphPad Prism? Do you have knowledge of image analysis philosophies and techniques? Experience with computational pathology More ❯
analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform both ad-hoc and strategic data analyses Build various data visualizations to tell … the story and let the data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. … data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared) - Experience with scripting languages (e.g., Python, Java, or R) - Master's degree or advanced technical degree - Knowledge of More ❯
Home Jobs Data Scientist/Bioinformatician - Digital Pathology Image Analysis Data Scientist/Bioinformatician - Digital Pathology Image Analysis 28th April 2025 Share At HistologiX we support our clients' cutting-edge research, helping innovative biopharmaceuticals, monoclonal antibodies, biomarkers and immuno-oncology treatments gain regulatory approval. We are a niche … GLP and GCP compliant laboratory with our experienced scientific team providing specialist immunohistochemistry (IHC), histology, digital pathology and image analysis solutions, working with pharmaceutical and biotechnology companies worldwide. Due to continued growth, we have an exciting opportunity for you to strengthen our Image Analysis group and support the … increasing demand for digital pathology projects. Are you proficient in data manipulation, statistical approaches and deployment of relevant software e.g. R and RStudio? Do you have a grasp of programming languages such as Python? Are you familiar with statisticalanalysis and data visualization tools, ideally GraphPad Prism More ❯
collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statisticalanalysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress … and drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understand business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives … Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights. Evaluate and recommend appropriate tools , frameworks, and technologies to enhance More ❯
technologies, and are eager to incorporate them into your work. Detail-Oriented: Your meticulous nature ensures accuracy and thoroughness in all tasks, from data analysis to documentation. BI Tools Proficiency: Expertise in Power BI, Tableau or similar visualisation tools. SQL and Databases: Strong knowledge of SQL, data warehousing concepts … Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis: Advanced data analysis and modelling skills, including statisticalanalysis and predictive modelling. Modern Data Platforms: Knowledge of Snowflake, Databricks, or similar More ❯
collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statisticalanalysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress … drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understanding of business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives … Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights. Evaluate and recommend appropriate tools, frameworks, and technologies to enhance More ❯
much more diverse than that. If this role is right for you, you will enjoy the challenge of pivoting between ad-hoc pieces of analysis, reporting enhancement, new builds, as well as working on long-term strategic projects to enhance the BI & Analytics capabilities in Amazon. Minimum Qualifications 2+ … data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Master's degree or Advanced technical degree Knowledge of … data modeling and data pipeline design Experience with statisticalanalysis, correlation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the More ❯
trends, and supporting risk-based decision-making across the business. Reporting to the Head of Business Control Testing. What you'll be doing: Data Analysis : Collect, clean, and analyse data from multiple sources to identify trends, patterns, and potential risks. Monitor and analyse key risk and control indicators to … Exchange (EXPN), we have a team of 22,500 people across 32 countries. Experience and Skills What you'll bring: +3 years experience in statisticalanalysis, trend analysis, and data visualisation to identify important insights. Experience in analytics and reporting tools (e.g., Power BI, Tableau, Excel, SQL More ❯
this role, you'll getto: Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g. … Management) with proven strong commercial acumen It's great if you have: Experience in digital or social media marketing Experience in hypothesis testing frameworks, statisticalanalysis, and using Python/R for data manipulation and analysis. data representation data analysis SQL data analytics analytics python (programming language … data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. More ❯
to uncover actionable insights for our audience. Ensure compliance with best practices in data governance. Lead data projects and guide team members in data analysis and governance practices. Build a high-performing team of data analysts, with a blended onshore, nearshore and offshore approach to support effective resourcing. Lead … the upskilling of our content and research teams in data analysis, data-led storytelling and data visualisation. Support the programme to transform our content into data that can be mined for trends and insights by our content creation teams, and also drive the creation of new data analysis … and client-facing products driven by improved access to, and interrogation of, our existing and potential data. Skills Knowledge and Expertise Technical skills Data analysis and visualisation: proficiency in tools like Infogram, Tableau, and Power BI. Statisticalanalysis: strong understanding of statistical methods and their application More ❯
engagement. Support growth goals by providing data-driven insights to improve customer acquisition and early retention. Conduct experimentation and A/B testing, ensuring statistical robustness and deriving insights to drive product improvements. Apply hypothesis testing methodologies to validate product changes and marketing strategies. Collaborate with cross-functional teams … optimize acquisition and conversion strategies. Develop and maintain dashboards and reporting tools to track KPIs and acquisition performance. Leverage advanced analytics techniques (e.g., regression analysis, segmentation, cohort analysis) to enhance understanding of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're Looking For … Bachelor's degree in Mathematics, Data Science, Statistics, Marketing, Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a related field. Expert knowledge in SQL. Experience with data visualization tools such as Tableau, ThoughtSpot, or Power BI. Expert knowledge of StatisticalMore ❯
obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. StatisticalAnalysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and … Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python … R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. More ❯
obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. StatisticalAnalysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and … Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python … R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. More ❯