51 to 75 of 734 Statistical Modelling Jobs in the UK

and pricing. Deep knowledge of data strategy frameworks, data governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data strategy professionals. Excellent More ❯

MBA or Master's degree in Computer Science, Engineering, Statistics, Mathematics or related field - Extensive experience in a data engineer or BIE role with a technology company. - Experience with statistical modelling/machine learning. - Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) - High attention to detail and proven ability to manage multiple, competing 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 ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of 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 ❯

work with a variety of 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 … 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 energy transition and environmental management. Develop data visualizations, dashboards, and reports to communicate findings and recommendations to clients … in geospatial data analysis (e.g., GIS tools). Understanding of energy transition frameworks such as net-zero goals or carbon offset projects. Knowledge of machine learning techniques or advanced statistical modeling. What We Offer: Competitive salary and benefits package. Flexible working hours and hybrid/remote working options. Opportunity to work on cutting-edge projects within the energy and 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 ❯

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 ❯

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 ❯

deliver transformational analytical solutions, business intelligence reports and advanced models to drive key business decisions and strategies. The role requires a strong technical understanding of data platforms, visualisation tools, statistical methods and machine learning techniques. You’ll need to be adaptable, flexible and resourceful in delivering a challenging roadmap whilst our data landscape is transforming. This is a crucial … Data Governance policy. Collaborate with Data Engineers to develop automated data pipelines and workflows for data collection, analysis and reporting. Data analysis Analyse data trends, patterns and anomalies using statistical techniques to derive meaningful insights. Model development and evaluation Utilise machine learning, NLP, Generative AI, and other advanced statistical methods to build predictive and descriptive models. Validate and … Python. An ability to analyse complex datasets and extract actionable insights. Experience with machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). Skilled in building credible statistical models. Knowledge of various learning algorithms (supervised, unsupervised, reinforcement). Experience with MLOps practices. Demonstrable experience building visualisations and dashboards in Tableau. An understanding of data management principles in 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 ❯

platforms, and frameworks that enhance the efficiency and effectiveness of research activities, including data gathering, preprocessing, analysis, and model development Identify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilities Leverage your expertise in software engineering, data engineering, and machine learning to build scalable and robust systems that facilitate … computing tools in Python, such as Dask or Ray Proficiency in data processing, analysis, and visualization leveraging best-in-class open source tools, libraries, and frameworks Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research Solid understanding of the differences between L1, L2 and L3 market tick data Experience with AWS, Linux and 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 ❯

Python or R, SQL, and data visualization tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt 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 ❯

and visualisations to support strategic and operational decision making Design, build, test and maintain analytical data management systems, making sure they meet business requirements and user needs Build credible statistical models from the data and follow best coding practices Develop analytic insight based on functional designs and user requirements communicating findings via data visualisation to a range of technical More ❯

Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting #LI-PA1 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our More ❯

tools such as Tableau or Looker. A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments. Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions. If you’re passionate about leveraging data to create meaningful impact, thrive in collaborative environments 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 ❯