1 to 25 of 47 Statistical Analysis Jobs in Slough

and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance … training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and … statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in More ❯

year, AI programme of work within a leading financial institution. The roles primary responsibility is to extract actionable insights from complex data. Using advanced statistical analysis, machine learning, and data modeling, you will support strategic decision-making across the organisation. Role: Develop and implement machine learning models and … findings effectively Work with SQL and cloud platforms (Azure) for data management and deployment Apply expertise in computer vision, large language models (LLMs), and statistical analysis Experience: Strong proficiency in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment Experience with … computer vision and LLM applications Skilled in statistical analysis and data visualisation techniques Hands-on experience with SQL and Azure cloud platform Knowledge of MLOps practices for scalable and reliable model deployment Excellent analytical and communication skills Multi- year Project - Flexible Start Date - Competitive Rates - London based (x3 More ❯

and become an expert in deploying Predictive AI (Artificial Intelligence) models to forecast ingredient and packaging costs for Mars Petcare. The role will support statistical analysis, model creation, and strategy development within the AI Forecasting tool. The data and insights will be used to drive price stability and … are we looking for? Bachelor's Degree in Economics, Data Science, Mathematics, Finance, or Business with a preferred focus on Econometrics Familiar with data analysis/visualisation tools such as SAS, Python, SQL, R, Stata, and Power BI Proficient in statistical analysis/data science techniques: particularly … time series modelling, regression analysis, scenario analysis, etc. Can formulate a hypothesis, test, and validate new models, or can modify existing models by changing parameters or creating additional features Passion for learning and promoting the use of tools such as Artificial Intelligence, Machine Learning, and Digital technologies to More ❯

to forecast HR challenges and support proactive decision-making, creating data-driven HR strategies and initiatives that align with organisational goals.. Conduct in-depth analysis of HR data using statistical techniques and data analysis tools to understand root causes of HR issues and provide actionable insights. Design … HR analytics and data science. Oversee and report on Great Place to Work Accreditation and any other external surveys conducted Support ad-hoc data analysis requests and projects as needed. Role Requirements Proven experience as an HR Data Analyst, People Analytics Analyst, Workforce Analyst, or similar role. Strong proficiency … in data analysis tools, including advanced skills in Microsoft Excel (e.g., PivotTables, VLOOKUP, macros). Experience with SQL for data querying and manipulation. Experience with data visualisation tools such as Tableau or Power BI. Solid understanding of statistical analysis techniques and their application to HR data. Excellent 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. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and … concise manner. 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. 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. Communication Skills: Ability 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. o Advanced SQL: Ability to write complex queries for extracting and analysing large datasets. o Python: Proficient in using Python More ❯

annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing … to stakeholders in a clear and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse … to customers, and beyond. What will make you stand out: • Experience working in an analytics role in the gambling industry. • Experience with CRM data analysis and customer segmentation. • Knowledge of tensorflow/pytorch. • Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. 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 ❯

support strategic initiatives and operational performance Develop and maintain dashboards, reports and visualisations to communicate key trends and findings Conduct predictive modelling and scenario analysis to inform long-term business planning Act as a trusted data partner for business leaders, translating data into actionable recommendations Champion data integrity, governance … we'd like to see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for advanced data manipulation, automation, and analysis. Exceptional ability to identify trends, provide actionable More ❯

to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse 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 … link/protocol testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) 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 ❯

day ESG data operations, including report creation, data validation, responding to investor queries, and investigating data anomalies. Develop tools and resources to support ESG analysis and oversight across portfolios, funds, and securities. Drive the automation and systemisation of processes across reporting, data delivery, stewardship, and portfolio oversight. Strengthen ESG … fluency in tools such as Python, R, PL/SQL, DAX, Power BI, Power Query, and Power Automate. Strong analytical skills, with experience in statistical analysis, data visualisation, and data mining. A proven ability to present complex insights clearly – including writing reports and delivering analytical papers. Solid research More ❯

role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into … clear, actionable insights that power better outcomes. Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes … EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex More ❯

will play a key role in shaping and executing the company’s data strategy, enabling more efficient and effective client service. JOB Responsibilities: Perform statistical analysis and data modeling Clean, analyze, and interpret data from multiple sources Communicate insights to both technical and non-technical audiences Ensure data More ❯

pipelines, and creating reports using Quicksight or Excel. Gather business requirements from Finance and Business stakeholders and translate them into scalable, automated solutions. Provide analysis, insights, and recommendations on business metrics to support decision-making. Collaborate with Data Engineering and Analytics teams to improve data sources and reporting processes. … Oracle, NoSQL, etc. Experience with data visualization tools like Tableau, Quicksight, or similar. Experience with data modeling, warehousing, and building ETL pipelines. Experience with statistical analysis packages such as R, SAS, or Matlab. Proficiency in SQL and scripting (Python) for data processing. Preferred qualifications include experience with AWS More ❯

optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Lead Data Scientist – Category Management: Partner with the Data Team to measure and report … science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not More ❯

Build Power BI reports ensuring data accuracy and consistency across all stakeholder communications Create ad-hoc Tableau visualisations for specific digital initiatives and campaign analysis Develop user-friendly Power BI dashboards making complex data accessible to non-technical stakeholders Collaborate with marketing teams using Tableau analytics to assess campaign … and Power BI report development Familiarity with web analytics platforms and integration with Tableau/Power BI A/B testing experience with Tableau statistical analysis capabilities Degree in Digital Marketing, Business Analytics, or Data Science Preferred: Tableau Desktop certification or Power BI certification Experience with Tableau Server More ❯

Expertise: Expert-level proficiency in Google Analytics (GA4), Mixpanel, BigQuery, Redshift, and advanced Google Sheets functions Strong SQL skills for data extraction, manipulation, and analysis Experience with data visualisation tools (Tableau, Looker, or similar) Familiarity with statistical analysis and A/B testing methodologies SEO & Growth: Deep … SEMrush, Ahrefs, or Google Search Console Understanding of conversion rate optimisation (CRO) principles and testing frameworks Experience with attribution modelling and multi-touch attribution analysis Background & Soft Skills: University degree in Data Science, Computer Science, Engineering, Mathematics, Economics, or related quantitative field 5+ years of proven expertise in data More ❯

Expertise: Expert-level proficiency in Google Analytics (GA4), Mixpanel, BigQuery, Redshift, and advanced Google Sheets functions Strong SQL skills for data extraction, manipulation, and analysis Experience with data visualisation tools (Tableau, Looker, or similar) Familiarity with statistical analysis and A/B testing methodologies SEO & Growth: Deep … SEMrush, Ahrefs, or Google Search Console Understanding of conversion rate optimisation (CRO) principles and testing frameworks Experience with attribution modelling and multi-touch attribution analysis University degree in Data Science, Computer Science, Engineering, Mathematics, Economics, or related quantitative field 5+ years of proven expertise in data analytics, preferably in More ❯

engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. … Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering … and fostering a Data & AI-driven culture. Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights. Data & AI Product Design: Creating user-centric data products and AI solutions that facilitate informed decision-making, including dashboards and analytical More ❯

the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business … and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. **Please More ❯

driving commercial growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and More ❯

problem-solving skills Ability to work independently and in a team environment Bachelor's degree in Computer Science or related field Required Skills Data Analysis Data Visualization Data Storytelling Power BI Reports Developing to UI Guidelines Data Modelling Statistical Analysis DAX Power Query More ❯

the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business … and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please More ❯

Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating More ❯