1 to 25 of 101 Remote Statistical Analysis Jobs in England

IQVIA is looking to appoint statistical programmers to utilize the SAS programming language to develop clinical study report materials according to the objectives of a clinical trial for regulatory submissions. Programming and performing related tasks serving the full spectrum of statistical programming needs in our DS3 environment (home … data issues Interpret project level requirements and develop programming specifications Write programming code following established Good Programming Practices Program ADaM datasets Program to create statistical analysis tables, listing and figures Validate datasets and all statistical outputs per prescribed gate checks Communicate with internal and client statisticians and … and clinical study report materials Provide training and mentoring to team members and department staff #LI-remote You can help us bring clinical trial statistical analysis into the next generation. Award winning and innovative, we will give you access to cutting-edge in-house technology, allowing you to More ❯

efficiency Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to identify opportunities for leveraging data to drive business solutions Conduct statistical analysis and interpret results to inform strategic decisions and optimize processes Collaborate with team members to create predictive models and machine learning algorithms … in data manipulation libraries (e.g., Pandas, NumPy) Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of statistical analysis and predictive modeling techniques Experience working with large datasets and data visualization tools (e.g., Tableau, Matplotlib, Seaborn) Excellent problem-solving skills and More ❯

efficiency. Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to identify opportunities for leveraging data to drive business solutions. Conduct statistical analysis and interpret results to inform strategic decisions and optimize processes. Collaborate with team members to create predictive models and machine learning algorithms … manipulation libraries (e.g., Pandas, NumPy). Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of statistical analysis and predictive modeling techniques. Experience working with large datasets and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Excellent problem-solving skills 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 & Statistical Analysis 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 & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A 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 … statistical analysis 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 ❯

data sources, analyze trends, and support decision-making through your insights and expertise. This role will involve collaborating with project teams, managing datasets, performing statistical analysis, and presenting findings in a clear and concise manner to both technical and non-technical stakeholders. Key Responsibilities: Collect, clean, and organize … large datasets from various sources related to energy consumption, emissions, environmental factors, and sustainability metrics. Conduct in-depth analysis of energy usage trends, carbon footprints, and environmental data to support clients in their sustainability goals. Apply statistical techniques and models to identify patterns, correlations, and forecasts relevant to … Science, Engineering, or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy More ❯

Provide insights, solutions, and recommendations to address problem statements from the candidate initiatives. What are we looking for? Extensive experience in a senior data analysis position with strong experience in data analysis using tools such as SQL, Excel, Power BI and AWS data insight tooling. Ability to utilize … programmatic and quantitative methods to identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictive modelling and explanatory modelling to identify trends. Ability to work well More ❯

tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve: • Fraud Detection and Analysis: o Analyse transaction data to identify patterns and trends indicative of fraudulent activities. o Investigate and monitor real-time transaction alerts to detect potential … to refine and optimize fraud detection systems. o Ensure that the company's financial practices comply with statutory regulations and legislation. • Data Management and Analysis: o Extract, clean, and manage large datasets using SQL and Python for in-depth analysis. o Utilize data analytics tools to track, analyse, and … related fields are a plus. • Minimum of 3-5 years of experience in a similar role, with a focus on fraud prevention and data analysis within Fintech or Banking. • Technical Skills: o Advanced SQL: Ability to write complex queries for extracting and analysing large datasets. o Python: Proficient in More ❯

tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve: • Fraud Detection and Analysis: o Analyse transaction data to identify patterns and trends indicative of fraudulent activities. o Investigate and monitor real-time transaction alerts to detect potential … to refine and optimize fraud detection systems. o Ensure that the company's financial practices comply with statutory regulations and legislation. • Data Management and Analysis: o Extract, clean, and manage large datasets using SQL and Python for in-depth analysis. o Utilize data analytics tools to track, analyse, and … related fields are a plus. • Minimum of 3-5 years of experience in a similar role, with a focus on fraud prevention and data analysis within Fintech or Banking. • Technical Skills: o Advanced SQL: Ability to write complex queries for extracting and analysing large datasets. o Python: Proficient in More ❯

trees, random forests), unsupervised (e.g., clustering), and deep learning. Knowledge of generative AI is desirable. Expert level knowledge of statistics, applied mathematics, and scientific analysis, with demonstrable experience using various techniques to deliver organisational benefits. Expert level knowledge of exploratory data analysis and statistical analysis of More ❯

random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of generative AI is desirable. Expert level of knowledge of statistics, applied mathematics and scientific analysis, with demonstrable experience of using a variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and statistical analysis of large datasets. Practitioner knowledge of Machine Learning Ops and A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming language such as Python, R, C++. Day to Day Delivering efficiency and customer benefits using data science More ❯

random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of generative AI is desirable. Expert level of knowledge of statistics, applied mathematics and scientific analysis, with demonstrable experience of using a variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and statistical analysis of large datasets. Practitioner knowledge of Machine Learning Ops and A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming language such as Python, R, C++. Day to Day Delivering efficiency and customer benefits using data science More ❯

random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of generative AI is desirable. Expert level of knowledge of statistics, applied mathematics and scientific analysis, with demonstrable experience of using a variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and statistical analysis of large datasets. Practitioner knowledge of Machine Learning Ops and A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming language such as Python, R, C++. Experience of innovating and solving business problems through the application of More ❯

random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of generative AI is desirable. Expert level of knowledge of statistics, applied mathematics and scientific analysis, with demonstrable experience of using a variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and statistical analysis of large datasets. Practitioner knowledge of Machine Learning Ops and A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming language such as Python, R, C++. Experience of innovating and solving business problems through the application of More ❯

role in suggesting and implementing process improvements for the team to mitigate risks and enhance the overall client experience. JOB SUMMARY AND RESPONSBILITIES: Data Analysis and Process Improvement: •Analyze trade lifecycle and operational workflows to identify areas for optimization and automation. •Enable strategic decision making through data driven analytics. … Risk Mitigation and Data Governance: •Implement data validation rules and monitoring mechanisms to ensure the accuracy and reliability of data used for reporting and analysis, adhering to data quality standards and regulatory requirements Stakeholder Management and Prioritization: •Work with stakeholders to define project scope, objectives, and deliverables, creating detailed … performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data More ❯

Data Analyst to join their growing team. This is an exciting opportunity to play a key role in driving business decisions through insightful data analysis within a dynamic and fast-paced environment. Our client is a successful online retailer with ambitious growth plans. They pride themselves on their customer … and translate them into data-driven solutions. Key Responsibilities: Gathering and cleaning data from various sources, ensuring data integrity and accuracy. Performing exploratory data analysis to identify trends, patterns, and anomalies. Developing and maintaining regular and ad-hoc reports and dashboards using data visualisation tools (e.g., Tableau, Power BI … . Conducting in-depth analysis on customer behaviour, website performance, marketing campaigns, and sales data. Providing actionable insights and recommendations to stakeholders to improve business outcomes. Collaborating with different teams to understand their data requirements and provide relevant analysis. Contributing to the development and improvement of data collection and More ❯

Data Analyst to join their growing team. This is an exciting opportunity to play a key role in driving business decisions through insightful data analysis within a dynamic and fast-paced environment. Our client is a successful online retailer with ambitious growth plans. They pride themselves on their customer … and translate them into data-driven solutions. Key Responsibilities: Gathering and cleaning data from various sources, ensuring data integrity and accuracy. Performing exploratory data analysis to identify trends, patterns, and anomalies. Developing and maintaining regular and ad-hoc reports and dashboards using data visualisation tools (e.g., Tableau, Power BI … . Conducting in-depth analysis on customer behaviour, website performance, marketing campaigns, and sales data. Providing actionable insights and recommendations to stakeholders to improve business outcomes. Collaborating with different teams to understand their data requirements and provide relevant analysis. Contributing to the development and improvement of data collection and More ❯

role in suggesting and implementing process improvements for the team to mitigate risks and enhance the overall client experience. JOB SUMMARY AND RESPONSBILITIES: Data Analysis and Process Improvement: •Analyze trade lifecycle and operational workflows to identify areas for optimization and automation. •Enable strategic decision making through data driven analytics. … Risk Mitigation and Data Governance: •Implement data validation rules and monitoring mechanisms to ensure the accuracy and reliability of data used for reporting and analysis, adhering to data quality standards and regulatory requirements Stakeholder Management and Prioritization: •Work with stakeholders to define project scope, objectives, and deliverables, creating detailed … performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data More ❯

blends leadership, strategy, and hands-on data science in a dynamic industry. What you'll do: Design and deploy advanced machine learning models and statistical techniques to tackle real business challenges Build and maintain robust, scalable data pipelines for efficient processing and analysis Communicate insights clearly with compelling … driving measurable value Qualifications 5+ years of experience in data science or related field, with 2+ years in a leadership role Advanced knowledge of statistical analysis and machine learning techniques Proficiency in programming languages such as Python, R, or SQL Familiarity with database management systems, experience of cloud More ❯

and are able to provide clear examples of where your insights have driven positive business impact You are experienced in data preparation, exploratory data analysis (EDA) and feature engineering You can use machine learning tools and statistical techniques to produce solutions to business problems You can work closely … subject matter to non-technical stakeholders Minimum criteria: Advanced Analytics and Data Science experience Demonstrable experience delivering data science projects Strong data manipulation and statistical analysis skills Experience implementing Machine Learning algorithms and statistical models Expert user of one or more popular BI Tools eg Oracle Analytics More ❯

and are able to provide clear examples of where your insights have driven positive business impact You are experienced in data preparation, exploratory data analysis (EDA) and feature engineering You can use machine learning tools and statistical techniques to produce solutions to business problems You can work closely … subject matter to non-technical stakeholders Minimum criteria: Advanced Analytics and Data Science experience Demonstrable experience delivering data science projects Strong data manipulation and statistical analysis skills Experience implementing Machine Learning algorithms and statistical models Expert user of one or more popular BI Tools eg Oracle Analytics More ❯

bringing rebel thinking to life. JOB RESPONSIBILITIES Devise Health Economics and Outcomes (HEOR) research projects, including burden of illness studies, economic evaluations, budget impact analysis, impact assessments, and market access strategies. Support on Market Access and Commercial Strategy projects as it relates to HEOR. Ensure effective project management from … conception to completion, overseeing multiple projects simultaneously. Oversee and support health economic modelling (e.g., cost-effectiveness analysis, budget impact analysis) using Excel, R, Python or other relevant software. Validate and calibrate models for accuracy and reliability, implementing them to analyse healthcare interventions, policies, and strategies. Perform regression analyses … or other EU agencies. Familiarity with Health Technology Assessment (HTA) processes. Experience with model design, early scientific advice, indirect treatment comparisons (ITCs) (network meta-analysis and MAIC) and other evidence sources. Ability to support the execution of multiple complex projects at once within a diverse remote team environment, to More ❯

business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization and reports. Stay current with industry trends and More ❯

business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization and reports. Stay current with industry trends and More ❯

analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions that utilize customer … solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to work independently on client engagements … successful project delivery Write production-ready code in SQL, Python, and Spark following software engineering best practices Coach team members in machine learning and statistical modelling techniques Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment More ❯