mergers and integrations and/or led impactful enterprise initiatives. Data and AI Savvy: · Programmer · Experience in Applied Mathematics, including but not limited to Statisticalanalysis, Machine Learning, Neural Networks, etc · Experience in modern data engineering technologies including but not limited to cloud-native data estates, data pipelines … to engage CEO and COO of Fortune 500 companies. · Developed formal business cases and business narrative, and is schooled in techniques such as Value Analysis, Market Research · Strong presence and excellent communications skills to lead and motivate peers and leaders. Preferred: · Ability to manage and execute technology projects, preferable … Awareness and Research on the emerging technology differentiators to enable AI such as Quantum Computing, GPUs, Block-Chain Technology (BCT) · Ability to perform Financial Analysis and create Value propositions for Investments. · Proficient in Visualization techniques to articulate business cases and Return-On-Investments · Entrepreneurial experience as a startup co more »
Education: · Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. Experience: · 3+ years of experience in data analysis, business intelligence, or a related field. · Experience working with business systems (e.g., ERP, CRM) and SQL Server, Power BI and advanced Excel · Experienced in … a working knowledge of SQL, Python, VBA, and VB Script an advantage. · Experience with data visualization tools (Power BI, or similar). · Familiarity with statisticalanalysis, predictive modelling, and machine learning techniques. · Experience with system analysis, including requirements gathering, documentation, and testing. · Understanding of systems integration, networking more »
and interpreting data with Redshift, Oracle, NoSQL etc. Data visualization using Tableau, Quicksight, or similar tools Analytics visualization tools (Excel, Tableau, Quicksight, MicroStrategy, PowerBI) Statistical methods (t-test, Chi-squared) Data Modelling and Data Pipeline design SQL The ideal candidate will have a background in Retail/Groceries and … able to work a few days on shift staring at 7:30/8am to support the APAC regions. If you have experience with statisticalanalysis and co-relation analysis, this would be a huge positive. If you have the above skills and are looking for a more »
driven company that works within human care, computational biology! We have a data Science Strategy, its broken down into 5 areas, Data Prep, Data Analysis and modelling, Technical Support and collaboration, Research and Innovation and Documentation and communications - once you apply, we can explore what this looks like more … detail. What we want to see; You are already in a Data Science/Machine Learning role already, and if you have experience with statisticalanalysis, preferably in the healthcare ore life science domain, we will want to speak with you. Proficient with Python OR R with experience more »
PoC, Assets) We are looking for passionate and driven individuals with: Proficiency in R Programming: Mastery of R programming language, including data manipulation, visualization, statisticalanalysis, and package development. Advanced Shiny Development: In-depth understanding of Shiny framework, including reactivity, modules, layouts, and custom input/output components. more »
and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Collaboration: Work closely with traders, quants, and other developers to … In-depth knowledge of equities and futures markets, with a strong understanding of market microstructure and trading strategies. Quantitative Skills: Familiarity with mathematical modeling, statisticalanalysis, and machine learning techniques. Experience: Industry Experience: 3+ years of experience as a Quantitative Developer or similar role within a hedge fund more »
the global transportation network make this position both exciting and challenging. The ideal candidate will not only elevate the standard for data retrieval and analysis but will also exhibit a keen curiosity to understand the business holistically, proactively delving into issues as they arise. Attention to detail, proficiency and … data modeling standards, constructing complex data pipelines, building and maintaining multiple databases, identifying complex/abstract problems, and uncovering insights through the use of statistical, data mining, and visualization techniques. Furthermore, you will contribute to process automation by developing deep-dive tools, user interfaces (UIs), metrics, and dashboards to … Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in StatisticalAnalysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience more »
successful Data Engineer will be responsible for data collection and overall data cleansing from a wide range of diverse sources, data exploration and visualization, statisticalanalysis, machine learning, deep learning, ML-Ops/AI Ops, Big Data Management, Version Control and Collaborations as well as AI-Driven Product … Southampton, and happy to travel to local TOP SECRET sites as/when needed. The Role: Data Collection and Cleansing Data Exploration and Visualization. StatisticalAnalysis Machine Learning and Deep Learning ML-Ops/AI-Ops Big Data Management Version Control and Collaboration AI-Driven Product Development The more »
Data Scientist will work on leveraging healthcare data to drive insights that improve diagnostic accuracy and patient outcomes. You will apply machine learning models, statisticalanalysis, and data visualisation techniques to uncover trends and patterns in clinical and operational data. This role will directly impact the quality of … insights. Create dashboards and visualisation tools to communicate complex data to non-technical stakeholders. Ensure the accuracy and integrity of all data models and analysis, following industry best practices. Technical Skills Required Proficiency in Python, R, and machine learning libraries (e.g., TensorFlow, PyTorch). Experience working with healthcare data … e.g., EHRs, diagnostic data) and familiarity with formats like HL7 or FHIR. Strong background in statisticalanalysis and data mining. Knowledge of data visualisation tools (e.g., Tableau, Power BI). Experience in natural language processing (NLP) and working with unstructured data is a plus. Soft Skills Required Strong more »
are seeking a skilled and analytical Data Analyst to join the team. The ideal candidate will have a strong understanding of data analytics, and statistical methods, and the ability to interpret complex data sets. Along with a strong STEM background/Degree from a Redbrick University! This role will … involve analysing trends, creating insightful reports, and providing recommendations to drive data-driven decisions and optimise business performance. Key Responsibilities: Data Collection & Analysis : Gather, process, and analyse large sets of data from various sources, ensuring data accuracy and integrity. Data Quality Assurance : Identify, troubleshoot, and resolve data discrepancies and … actions. Collaboration : Work with cross-functional teams (finance, operations) to understand data needs, and provide analytical support to drive key projects and initiatives. Predictive Analysis : Utilise statistical techniques and predictive models to forecast future trends and outcomes. Documentation : Maintain and update documentation for processes, analyses, and data sources. more »
and other leading national and international infrastructure providers. Summary: The role will include work and exposure across the following areas: • Software, HDL and system analysis, modelling: We analyse and model software-based and FPGA-based systems using various techniques. The analysis may be based on design documentation as … well as on the source code. We apply modern analysis techniques to real world software systems. The techniques include formal methods, model checking, static analysis (control and data flow, semantic analysis, integrity and concurrency analysis) as well as statisticalanalysis of field data and … of tools as well as their application. • Safety and security assessment: We contribute to the assurance of our clients’ projects by assisting with hazard analysis, providing independent advice, and reviewing their safety and security cases. We assess the behaviour of some of the interesting and important computer-based systems more »
University College London Hospitals NHS Foundation Trust
authorship, development, testing and maintenance of software for clinical research & development. This might include (but is not limited to) software supporting data processing and statisticalanalysis, image analysis tools, front- and back-end web development, mobile apps, high-performance simulation software, or mathematical software. Management & Leadership Essential more »
Toolkit Experience of undertaking standards, procedures and policies reviews. Experience of full range of Microsoft packages Excellent numeracy skills including the ability to undertake statisticalanalysis and to interpret data Thorough knowledge and experience of privacy by design Desirable Knowledge of mental health services Use of ITIL in more »
create databases, tables, and views for analytics Background working with programming (such as Python and/or R) and scripting languages (e.g. PowerShell) for statisticalanalysis, automation, and working with APIs Comfortable accessing, transforming, analysing, and modelling data using big data frameworks such as Spark with e.g. PySpark more »
in e-commerce, logistics, or a related field. Proven ability to build and lead high-performing data science teams. Strong understanding of machine learning, statisticalanalysis, and data visualisation techniques. Proficiency in programming languages such as Python or R. Excellent communication and stakeholder management skills. more »
and maintain a roadmap for new data products. Collaborate with product managers and stakeholders to define the technical strategy and product roadmap Oversee the analysis of large-scale datasets, leveraging machine learning and statistical techniques to identify trends, patterns, and insights Build and manage a high-performing team … Requirements: Minimum of 8 years of experience in DS and analytics, Experience in leadership role, successfully building dynamic, high performing teams. Strong proficiency in statisticalanalysis, machine learning, data mining, and predictive modelling techniques. Proficiency in programming languages such as Python or R is required. In-depth understanding more »
Chelsea and Westminster Hospital NHS Foundation Trust
Job summary The Senior Data Scientist will support ICHP's delivery of complex change by bringing a breadth of, statistical, analytical and data engineering skills. You will also bring energy and empathy in the development, execution, and management of the data analysis within projects. Main duties of the … job The role primarily focuses on the application of the advanced statistics methods and complex quantitative analysis required to help stakeholders 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 … as well as helping to define how we should undertake a particular method of analysis. The role requires sound understanding and previous experience with statistical methods (such as distributions, statistical testing, regressions, survival analysis methods, difference in differences, propensity score matching, interrupted time series etc) on healthcare more »
functional teams to translate data insights into actionable strategies Design and implement new diagnostic techniques to assess workplace effectiveness Your toolkit will include: Advanced statisticalanalysis and machine learning techniques Data visualization tools (e.g., Tableau, Power BI) Programming languages like Python or R for data manipulation and analysis Experience with large-scale survey data and sentiment analysis Familiarity with workplace metrics and KPIs This role offers the chance to directly impact how leading organizations design and operate their workspaces. You'll be the bridge between raw data and transformative insights, helping to create environments where employees more »