1 to 25 of 26 Remote Statistical Analysis Jobs in the UK

the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims … with emerging trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify … data visualisation, reports, and presentations. Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling processes. Perform statistical analysis, machine learning, and data mining to support various business needs. Participate in Agile or Kanban methodologies, contributing to a collaborative and More ❯

robust data engineering and AI solutions that power advanced analytics and AI initiatives across the Trust and beyond. This position requires strong technical capability in SQL, data pipeline architecture, statistical analysis, machine learning, and predictive analytics, combined with a sound understanding of clinical and operational environments. The Clinical Data Engineer will be responsible for developing high-quality health More ❯

of autonomy and minimal supervision. Proactively identify, initiate, and manage tasks and projects. Utilize SQL for querying databases to retrieve and manipulate data. Employ Excel skills for data cleaning, analysis, creating formulas, and generating visualizations, including pivot tables. Use data visualization tools like Power BI (desirable but not essential) and programming languages like Python or R for data manipulation … statistical analysis, and visualization. Communicate findings and insights effectively to both technical and non-technical team members. Required Skills & Qualifications: Technical Skills: Strong SQL skills for database management. Proficiency in Excel including pivot tables. Familiarity with data visualization tools like Power BI. Knowledge of programming languages such as Python or R is highly beneficial. Analytical & Cognitive Skills: Critical … to evaluate data, identify patterns, and think logically. Problem-solving: Skill in addressing complex data issues and proposing actionable solutions. Attention to detail: Crucial for ensuring accuracy in data analysis and reporting. Soft Skills: Excellent communication skills to convey findings clearly. Effective teamwork capabilities, suitable for remote collaboration. Independence in managing tasks and workload. Qualifications & Experience: A degree in More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,000 per annum. Comprehensive pension scheme to support More ❯

Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

which is £1,000 per week or £52,000 per year ! Requirements: - Bachelor’s degree in Economics, Finance, Information Technology/Management, or Data Analytics - 5+ years of Data Analysis experience - Proficiency in English with strong verbal and written communication skills - Domain/Product Intuition for transforming Use Cases into actionable Data and Applications - Skills in Statistical Analysis, Mathematics, Language Processing, and Network Analysis - Proficient in KNIME and Tableau - Preferred: Experience in Financial Services Interested Apply now More ❯

Full-time permanent The job You will be gathering, analyzing, and synthesizing competitive intelligence to inform strategic business decisions and maintain our competitive advantage in the marketplace.Intelligence gathering and analysis Conduct comprehensive competitive landscape assessments and market research Monitor competitor activities, technology launches, go-to-market approach, pricing strategies, and market positioning Analyze competitor financial performance, organizational changes, partnerships … landscape Examine data to identify patterns, trends, and strategic implicationsStrategic insights and reporting Build comprehensive profiles for each major market player, refreshed annually Support Quarterly Competitive Benchmark including competitive analysis reports and executive briefings Support annual 5-year Strategic Planning with intelligence inputs Support ad-hoc data requests approximately 3 - 5 per monthCross-functional collaborationIntelligence program management Contribute to … role in driving AVEVA's growth by developing and guiding the overall direction and success of our organisation. The team's primary purpose is to develop strategies, conduct business analysis for executive decisions, and operationalise mechanisms that help AVEVA to achieve our long-term objectives.We are seeking a strategic and analytical Market and Competitive Intelligence Analyst to join our More ❯

experience in analytics or data science within healthcare, research, policy, or related sectors Strong knowledge of UK health and care research and clinical research processes Familiarity with databases, APIs, statistical analysis, dashboard design, AI/ML, and data cleaning Budget management experience Strong problem solving skills and the ability to generate creative, collaborative solutions Desired Criteria Experience with More ❯

experience in analytics or data science within healthcare, research, policy, or related sectors Strong knowledge of UK health and care research and clinical research processes Familiarity with databases, APIs, statistical analysis, dashboard design, AI/ML, and data cleaning Budget management experience Strong problem solving skills and the ability to generate creative, collaborative solutions Desired Criteria Experience with More ❯

experience in analytics or data science within healthcare, research, policy, or related sectors Strong knowledge of UK health and care research and clinical research processes Familiarity with databases, APIs, statistical analysis, dashboard design, AI/ML, and data cleaning Budget management experience Strong problem solving skills and the ability to generate creative, collaborative solutions Desired Criteria Experience with More ❯

engineers to ensure clean, accurate, and usable data. Monitor and update models to stay effective in a changing risk landscape. Requirements: Scripting skills in SQL and Python Experience with statistical analysis Experience with machine learning frameworks Knowledge of Large Language Models (LLMs) and other AI tools Experience within risk management would be highly desirable Benefits: Salary up to More ❯

various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization tools to extract meaningful insights from marketing data. Marketing strategy expertise: Strong understanding of marketing principles, customer More ❯

tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage multiple More ❯

tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage multiple More ❯

tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage multiple More ❯

tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage multiple More ❯

tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage multiple More ❯

the overarching UX research strategy, ensuring alignment with business objectives and create best-in-class experiences Scoping and prioritising research activities in line with product and business timelines Quantitative analysis, leveraging tools like surveys, A/B testing, and behavioural analytics to uncover trends, understand and interpret data to measure usability, and validate hypotheses Qualitative exploration through interviews, usability … capability development About you Demonstrable UX research experience with a strong portfolio of impactful research work across industries, products, or platforms Proven expertise in both quantitative (e.g., survey design, statistical analysis, large-scale data interpretation) and qualitative (e.g., ethnography, usability testing, contextual inquiry) research. Experience collaborating with and influencing C-suite or senior leadership Experience working in agile More ❯

job The successful candidate will provide expert leadership and technical knowledge on the delivery of software and data services across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation, investigate a range of highly complex data engineering issues, be responsible for strategic planning and delivery across a range of specialised areas … formats (including JSON, SQL, and XML) and Strong skills in relevant programming languages, frameworks, and platforms Interest and/or experience in technologies relating to data science, for example: statistical analysis, machine learning, or natural language processing Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such More ❯

of intelligent pricing, marketing, customer engagement tools. Building predictive and personalization models and deploying products at scale. What should my background look like? You’ll come from a strong statistical analysis/mathematical background with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, have experience reviewing code for juniors More ❯

you’ll help deliver best-in-class portfolio management, drive innovation in our data capabilities, and ensure analytics are seamlessly aligned with our digital infrastructure. Key accountabilities: Deep dive analysis: Conduct deep-dive analysis into customer portfolio trends to identify root causes of debt accumulation, enabling preventative measures to be implemented. Create and refine predictive models: Develop and … financial modelling, preferably within a collections or customer income function. Strong background in applying data science techniques to real-world business problems, with demonstrable experience in predictive modelling and statistical analysis. Hands-on experience with SQL for querying, data extraction, and reporting, with a focus on efficiency and maintainability. Proficient in working in cross-functional teams, collaborating with stakeholders More ❯