51 to 75 of 683 Statistical Modelling Jobs in England

and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye More ❯

clean, and analyse large and complex payment data sets from diverse sources Identify trends, patterns, and anomalies within the data to uncover insights. Utilise advanced data analysis techniques (e.g., statistical modelling, machine learning) to extract meaningful information. Insight Generation: Develop comprehensive reports, dashboards and visualisations to communicate findings to stakeholders. Provide detailed analysis including creation of financial models … degree in Finance, Accounting, Economics, or a related field. Advanced knowledge of data analysis tools (e.g., SQL, Python, R). Strong analytical and problem-solving skills. Proficient in financial modelling, budgeting and forecasting. Experience working with large and complex data sets. Excellent communication and interpersonal skills. Ability to translate technical findings into clear and actionable recommendations. Not necessary but … would be desirable to have: Master's degree in Data Science, Statistics, or a related field. Experience in Virtual card payments and rebate structures. Knowledge of machine learning and statistical modelling techniques. Experience with data visualisation tools (e.g., Looker, Power BI, Google Suite). Perks of joining us: Other than an amazing environment for you to grow, have More ❯

strategies, and collaborate with researchers and developers to deliver outstanding results. Key Responsibilities Perform advanced analysis of survey data from market and social research projects using a range of statistical and data science techniques. Interpret briefs from senior stakeholders and independently build out appropriate solutions. Apply and develop statistical models (e.g. regression, segmentation, predictive analytics, etc.) and data … Requirements: Education: A Master’s or PhD in a relevant discipline (e.g. Sociology, Political Science, Economics, Psychology, Social Policy, Public Health, Marketing) or other social science fields with strong statistical training and survey research components. Experience: Demonstrated experience working with survey data in market research, commercial research, or applied social research settings. Strong proficiency in R (required) and working … knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and large language models (LLMs More ❯

engineers to define data requirements and ensure data quality and integrity. Programming & Tool Development Develop and maintain Python or Julia-based tools and scripts for data processing, visualization, and statistical analysis. Automate data workflows and contribute to the continuous improvement of the team’s analytical capabilities. Support the integration of analytical outputs into model development pipelines. Collaboration & Communication Work … and methodologies to enhance analytical effectiveness. Skills and Competencies Technical Skills Required Proficiency in programming with Python or Julia, with experience in developing tools for data analysis, visualization, and statistical modeling. Strong SQL skills for querying and managing large datasets. Knowledge of data visualization techniques and tools (e.g., Matplotlib, Seaborn, or equivalent in Python/Julia). Strong data … analytical skills, including handling outliers, managing missing data, and performing basic statistical modeling. Desired Familiarity with Machine Learning or Statistical Learning methods for predictive modeling. Experience in designing and building dashboards for visualizing analytical outputs. Experience with MS Excel for data exploration or light analysis. Experience with Tableau or Power BI for dashboard creation and reporting. Soft Skills More ❯

and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality trends, and implement … new technologies Good understanding of Microsoft Server technologies (Azure, T-SQL, SSIS, SSRS, Power BI) Experience Strong experience of working as a Data Scientist or equivalent role, in applying statistical models and machine learning algorithms Experience and ability to respond to business needs by identifying appropriate statistical methodologies and presenting insight for decision making Attention to detail & problem More ❯

of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support for … their analytical skills Qualifications - Experience in customer data/analytics, ideally within the retail industry. - Strong predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner More ❯

and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilising statistical and mathematical modelling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute … a related field Passionate about extracting insights from data to solve real-world problems Experience in programming languages Comfortable working with data visualisation tools (e.g. Seaborn, Tableau) Knowledgeable in statistical analysis, machine learning concepts, and data wrangling techniques Curious, analytical, and detail-oriented with a strong problem-solving mindset A strong communicator who can explain technical findings to both More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

for use in engineering projects and processes. Develop and implement automation techniques to streamline current processes and data analysis workflows, enhancing efficiency and productivity. Apply predictive analytics, machine learning, statistical modelling, and algorithm design to extract insights and solve complex engineering problems. Develop interactive and user-friendly applications and codes to facilitate data exploration and analysis, enhancing user More ❯

and understand large datasets Ability to identify trends & patterns within large datasets Advanced communication skills and stakeholder management skills including working with external clients Willingness to travel Experience in statistical modelling, and analysis using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering Experience in analysing data in payments platforms including SWIFT, ISO20022 Experience working with More ❯

answer business questions Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption. Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms Proficient in Python Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial More ❯

Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions, ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence More ❯

data analysis. Experience We Are Looking For Master’s degree or above in mathematics, statistics, or computer science. 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence. Ability to write code that is ready for production (Python and … a project. Ability to come up with a rough project structure from scratch. Ability to critically analyse given data, ask probing questions, and perform own research. Substantial knowledge of statistical modeling techniques. Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets. Seniority level Seniority level Not Applicable Employment type More ❯

and Procurement. You will work with stakeholders, data engineers, BI engineers, and analysts to achieve strategic goals. The ideal candidate has a strong background in optimization, machine learning, and statistical modeling, with excellent communication skills to translate data insights into actionable recommendations. You should be comfortable working independently in a fast-paced, ambiguous environment. Key Responsibilities Perform feature engineering … a detail-oriented approach, owning tasks from start to finish. Develop data sets and models to answer key business questions, working closely with stakeholders. Leverage distributed machine learning and statistical algorithms to process large data volumes for customer service. Qualifications Masters with 5+ years or Bachelors with 8+ years in a quantitative field (e.g., CS, Math, ML, Stats, Operations … Research). Proficiency in Python, R, or similar scripting languages; experience with SQL, MySQL, and databases. Expertise in machine learning, statistics, and optimization, including linear programming. Experience with statistical measures such as hypothesis testing, confidence intervals, and error analysis. Excellent communication skills for technical and non-technical audiences. Preferred additional skills include experience with Perl or other scripting languages More ❯

Engineering teams to help define product direction. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques experience. Experience applying theoretical models in … computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of machine learning/statistical modeling data analysis tools and techniques experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language More ❯

expert advice on advanced pay equity topics to customers, fellow employees, and external audiences. Partner with the sales and customer success team to consult customers on advanced analytical and statistical methods related to their workplace equity analyses and effective usage of the Syndio platform. Additionally, work on developing actionable plans for customers to implement based on their findings and … pay gap reporting requirements in one or more countries and/or the EU Pay Transparency Directive. You are comfortable interpreting multivariate regression analysis, chi-squared tests, and other statistical tests, and can explain methods and results to an audience with a limited statistical background. You have a proven track record of developing and applying statistical knowledge … to data driven questions. You are comfortable generating and interpreting statistical models, analyses, graphs and data. You have demonstrated experience with a variety of analytical tools (e.g. Excel, Python, R, SQL, etc.) You have the ability to explain and present complicated concepts and research projects to diverse audiences (e.g. in-house counsel, c-suite, HR analytics, etc.) You’re More ❯

data sets, and line of business data and information. This will require working with structured and unstructured data, a large corpus of scholarly articles, using programmatic techniques such as statistical analysis, natural language processing, information retrieval, and machine learning. You will also work with the rest of the team to turn your insights and software prototypes into production services … that improve the utility of this data for both our end users and internal stakeholders. Responsibilities Create and use machine learning models, statistical analysis, natural language processing to improve scientific content workflows, enhance discoverability, and support Open Science initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. … applied to our data, always ensuring that they are appropriate, take into account the potential for negative impact and do not bias research. Knowledge and Skills Extensive experience in statistical modeling, machine learning, and data mining techniques, with a focus on applications in text analysis or scientific data, including knowledge of forecasting, A/B testing, entity extraction, and More ❯

you develop into a better-rounded professional. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance … computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training More ❯

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions that … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … best practices and standards for data science workflows within the organisation Qualifications Minimum of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise More ❯

and analyze data from multiple sources using SQL and/or other tools. Learn and apply Tableau to build impactful dashboards and visualizations (if not already experienced). Apply statistical methods such as regression, clustering, time series forecasting, etc., where applicable. Collaborate cross-functionally with strategy, marketing, product, and engineering teams. Stay current with industry trends, especially in travel … essential - you should be comfortable writing complex queries and working with large-scale data. Familiar with Tableau (or quick to learn) and comfortable building data visualizations. Strong analytical toolkit: statistical methods, scenario modeling, A/B testing, or predictive modeling experience. Business-savvy and interested in learning or expanding knowledge in the travel or vacation rental space. Demonstrated experience More ❯

solving skills. Excellent attention to detail and accuracy in data handling. Good communication skills for presenting findings to stakeholders. Ability to work collaboratively in a team environment. Familiarity with statistical analysis and data modeling. Experience with CRM or ERP systems is a plus. Knowledge of data protection regulations like GDPR is a plus. What We Offer Competitive salary and More ❯

data science, machine learning, or a related role Proficiency in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, Scikit-learn, or Pandas Strong understanding of statistical modeling, probability, and optimization techniques Ability to work with messy, real-world datasets and perform feature engineering Excellent problem-solving skills and attention to detail Strong communication skills to More ❯

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/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong More ❯

and how they operate Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high-quality More ❯

out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that … based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯