1 to 25 of 54 Statistical Analysis Jobs in the South East

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 ❯

who are ready to help push the boundaries of science and make a tangible difference in the world. Proclinical is seeking a Director of Statistical Programming - Technical Solutions to lead the development and implementation of innovative programming standards and solutions. This role focuses on enhancing efficiency and quality in … statistical analysis and reporting within the oncology and pharmaceutical sectors. You will work closely with various teams to ensure alignment with company goals and regulatory requirements. Responsibilities: Collaborate with the Head of Statistical Programming to implement a global statistical programming ecosystem. Provide strategic direction for vendor … oversight, technology innovation, automation, and process standardization. Lead the design, implementation, and maintenance of statistical computing environments to support clinical trials. Ensure infrastructure scalability, security, and compliance with regulatory standards. Develop and standardize reusable macros, scripts, and automation pipelines. Establish governance frameworks for code quality, version control, and documentation. 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 ❯

optical specifications and quality standards. Establish testing protocols for various stages of development. Implement process control techniques to ensure production consistency. Collect and perform statistical analysis on metrology data to identify trends, variances, and correlations to performance metrics. Analyze measurement data and correlate results to key performance indicators … for performance enhancement. Propose and implement improvements in metrology techniques and testing procedures. Create and maintain detailed technical documentation, including test plans, procedures, data analysis reports, and process control records. Minimum Qualifications: Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related Engineering field. … 3+ years of hands-on experience in optical testing, with a focus on waveguides or similar optical components. Proficiency in statistical data analysis using JMP or Minitab. Familiarity with process control, quality control, and acceptance testing in a high-volume manufacturing environment. Excellent troubleshooting skills with the ability More ❯

platform, or brand side) 🔹 Strong understanding of ad effectiveness methodologies (reach, frequency, brand lift, sales lift) 🔹 Proficiency in R, SQL, or Python for data analysis 🔹 Expertise in statistical analysis and campaign study design 🔹 Excellent project management skills and attention to detail 🔹 Strong communication skills and experience working More ❯

interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups … satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a More ❯

DUTIES AND RESPONSIBILITIES Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyze calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups … satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology More ❯

interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of set … satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a More ❯

interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of set … satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a More ❯

and helping with data insights to enable data integration, data management and overall data cleansing within the Hire to Retire value stream. This includes analysis of data from a wide range of diverse sources, data exploration and visualisation, statistical analysis, and version control. Scope: This role covers … and analyse data from various sources (databases, APIs, spreadsheets, etc). Map, clean and process data to remove inconsistencies and errors Perform exploratory data analysis to identify patterns and trends and make recommendations for master data management Present findings in a clear and actionable way to stakeholders Collaborate with … data-related issues and optimise performance. Document data processes and workflows for both technical and non-technical audiences. Qualifications: Essential- Proven experience of data analysis within at least 2 large-scale HR system replacement projects where data migration has been required (ideally involving SAP SuccessFactors and Sage People) Working 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 ❯

and support decision-making. You will work on diverse data-driven projects, collaborate across teams, and implement scalable, high-impact solutions. Key Responsibilities Data Analysis & Modeling Analyze large datasets to identify trends, patterns, and actionable insights. Develop and optimize machine learning models to address business challenges. Conduct A/… B testing and experimental analysis to validate hypotheses. Data Management Collaborate with data engineering teams to ensure data integrity and accessibility. Design and build efficient ETL pipelines for data preprocessing. Implement automated tests to ensure reliability of data processes and models. Stakeholder Collaboration Define project goals and deliverables in … in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is More ❯

be leveraging your analytical skills and programming experience to extract insights from complex datasets, develop predictive models and support decision making. KEY RESPONSIBILITIES Data Analysis & Modelling: -Analyse large, complex datasets to identify trends, patterns, and actionable insights. -Develop, implement, and optimize machine learning models to solve business problems. -Conduct … A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: -Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. -Design and develop ETL pipelines and workflows for data preprocessing. -Develop automated tests to validate the processes and models you create. Collaboration & Communication: -Collaborate … a related field. Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning models, statistical analysis, and predictive analytics. -Experience designing experiments or modelling approaches to solve a specified business problem. PREFERRED QUALIFICATIONS -Proficiency in programming languages such More ❯

related role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with … data visualization tools such as Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks More ❯

insurance or reinsurance domain) Expertise in SQL, Python, and BI platforms like Tableau or Power BI Strong background in data warehousing, data modelling, and statistical analysis Experience with distributed computing (Hadoop, Spark) and data profiling Skilled at explaining complex technical concepts to non-technical audiences Hands-on experience More ❯

related role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with … data visualization tools such as Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks More ❯

in Quicksight or Excel. • Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions. • Provide informed analysis, insight and recommendations around our business metrics to drive optimisation and more effective decision making. • Build strong relationships with the Data Engineering and Core … Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience More ❯

experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. What's on Offer: Join a global leader driving More ❯

experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. What's on Offer: Join a global leader driving More ❯

experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. What's on Offer: Join a global leader driving More ❯

to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights. Stay up-to-date with the latest bioinformatics techniques, software … . Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter). Strong communication skills to collaborate across teams and present findings to … both technical and non-technical stakeholders. Desirable: Experience with next-generation sequencing (NGS) data analysis and pipelines. Knowledge of molecular biology, cheminformatics, or systems biology. Familiarity with data privacy and regulatory considerations in healthcare AI. Be part of a forward-thinking team dedicated to transforming healthcare through bioinformatics. Your More ❯

to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights. Stay up-to-date with the latest bioinformatics techniques, software … . Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter). Strong communication skills to collaborate across teams and present findings to … both technical and non-technical stakeholders. Desirable: Experience with next-generation sequencing (NGS) data analysis and pipelines. Knowledge of molecular biology, cheminformatics, or systems biology. Familiarity with data privacy and regulatory considerations in healthcare AI. Be part of a forward-thinking team dedicated to transforming healthcare through bioinformatics. Your More ❯

connect brands with their ideal audiences while delivering transparency and performance at scale. Their products and services rely on intelligent features, in depth data analysis, and trained AI models. They even partner with industry leaders like Warner Bros, Pokémon, & Asics. We’re looking for a Sr. Data Scientist who … making and build industry leading data products. Responsibilities: Build new solutions from prototypes to production feature to solve business problems using machine learning and statistical analysis Maintain and build upon our existing ML models and solutions Influence the direction of the company’s product & data strategy Synthesize analytics … and statistical approaches into easy-to-consume storylines, both visually and verbally, and clearly communicate with both non-data science audiences (such as creatives) and data scientists Work closely with the wider data science and engineering team as well as supporting and presenting to multiple stakeholders What we’re More ❯

and operational teams. Strong ability to manage relationships with internal and external stakeholders. Knowledge of marketing analytics, return on investment (ROI), financial modeling, and statistical analysis. Proficiency in working with databases, SQL, and data visualization tools. More ❯

modeling processes, conducting scenario and sensitivity analyses, and contributing to the firm’s strategic risk oversight. This role requires a strong foundation in quantitative analysis, market knowledge, and collaborative problem-solving. Key Responsibilities: Design and enhance multi-factor risk models to better assess market, credit, liquidity, and other exposures … or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional VaR, and volatility estimation. Experience with stress More ❯