51 to 75 of 106 Permanent Statistical Modelling Jobs in the UK

risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with proven more »

or mathematical models. Strong proficiency in programming languages such as Python, Java, or R, with experience in test automation and scripting. Solid understanding of statistical methods, mathematical modelling techniques, and data analysis tools. Familiarity with regulatory requirements and industry standards related to model risk management (e.g., SR more »

Energy start up as a member of the core planning team, supporting the growth of the business on a global scale. Responsibilities - Consultant Financial Modelling : Develop and maintain financial models to evaluate the viability and profitability of proposed projects. This includes revenue projections, cost structures and investment returns to … Consultant 2-4 Years of Analyst Experience : Demonstrated experience as an analyst in an investment banking environment, with a strong understanding of financial analysis, modelling, and decision-making processes. Experience in analysing investment opportunities, evaluating financial performance, and conducting market research will be highly beneficial. Relevant Qualifications: Possession of … in building advanced predictive models is desirable, as it enables you to forecast future trends, assess risk, and optimise decision-making processes. Experience with statistical modelling techniques and predictive analytics tools will be advantageous. Permanent Opportunity. If you are interested in this position, please reach out through the more »

adjusted returns. Quantitative Developer Position: The successful quantitative developer candidate will join our betting solutions team. These solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations. more »

the latest development within ML and design and deliver these across ML and Neural Network Methodologies. You will be involved in data analysis and statistical modelling. You will be writing high quality code and deploying these models both on premise and into the cloud. Skills : Experience either within the more »

looking for: Experience in a General Insurance background with deep knowledge of Reserving, Solvency II and IFRS 17 An advanced understanding of mathematical and statistical modelling tools Experience managing stakeholders at all levels, and communicating in a governed environment. You'll also collaborate effectively, and be able to more »

looking for: Experience in a General Insurance background with deep knowledge of Reserving, Solvency II and IFRS 17 An advanced understanding of mathematical and statistical modelling tools Experience managing stakeholders at all levels, and communicating in a governed environment. You'll also collaborate effectively, and be able to more »

looking for: Experience in a General Insurance background with deep knowledge of Reserving, Solvency II and IFRS 17 An advanced understanding of mathematical and statistical modelling tools Experience managing stakeholders at all levels, and communicating in a governed environment. You'll also collaborate effectively, and be able to more »

successful scala software engineer will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure. You will be working closely with the quantitative researchers and alongside other extremely talented and driven more »

data. Develop and maintain reports, dashboards, and visualisations to present findings effectively. Collaborate with stakeholders to understand business objectives and deliver relevant insights. Utilise statistical techniques and predictive modeling to forecast future trends and outcomes. Continuously monitor data quality and integrity to ensure accuracy and reliability. Requirements: Proven experience more »

learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning. Evaluate and validate models using appropriate metrics and statistical methods, and iteratively refine models based on feedback and insights.Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.Collaborate with software engineers … databases, and big data processing frameworks (e.g., Hadoop, Spark).Familiarity with software engineering best practices, including version control, testing, and code review.Strong mathematical and statistical skills, with the ability to apply statistical methods and evaluate model performance. Excellent problem-solving and analytical thinking, with the ability to understand more »

provide insights into performance, and identify opportunities for strategic improvements. Key Responsibilities: Analyse and interpret large datasets to identify trends, patterns and insights Develop statistical models and perform data mining techniques to support business decisions Work closely with various teams across the organization to understand their data needs and … science, business intelligence). Proficient in SQL, DAX, and advanced Excel. Skilled in visualization tools such as Cognos, SSRS, Power BI, or Business Objects. Statistical solid and problem-solving acumen, showcasing deductive and inquisitive thinking. Business acumen, particularly in financial services. Outstanding communication and presentation abilities. Proficiency in effective more »

needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to share … programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic trading protocols. Excellent analytical and problem more »

Data Scientist in the ad-tech/mar-tech or data analytics companies, including the following experience in: business intelligence, data mining, analytics, and statistical modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing … data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our Engineers and Data Scientists do more »

for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. … development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to business strategy Apply statistical methods to predict future client business outcomes Participate in due diligence of investment proposals as a Technology expert Evaluate 3rd party solutions for functionality more »

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 SHEFFIELD Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … SKILLS The successful candidate will have the following skills and experience: Strong SQL and Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator and … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics Desired more »

spanning across Technology, Insurance, Consumer brands, Commodities and Financial Markets. The Role We are looking for a Lead Data Scientist to manage our insurance modelling and pricing effort at our London office. We are hoping for an ambitious individual who is organized, proactive and hardworking to join our team. … A very strong mathematical background is essential. Additionally, broad end-to-end knowledge of ML, modelling and treatment of data is required. This includes having a good understanding of all disciplines around pricing (product, underwriting, reserving, data and ML). Experience in the insurance sector would be beneficial but … pricing tools for production Collaborating and effectively communicating across 80Tech and its affiliated companies to develop an understanding of needs Researching and devising innovative statistical models for data analysis Developing pricing monitoring tools Executing analytical experiments to help solve problems across various domains and industries Devising and utilising algorithms more »

Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Take more »

an excellent reputation both in the UK and abroad. THE ROLE You'll lead and support projects that continually improve predictiveness and segmentation of statistical models of claims. You'll work across various products and channels using both, traditional and data science/contemporary techniques. What you'll be … Experience in a related Insurance Pricing role is essential. Excellent numerical mathematical skills. Understanding of machine learning techniques. Robust knowledge and understanding of predictive modelling for Risk and/or Demand models. Ability to demonstrate high levels of problem-solving skills & initiative whilst working to strict deadlines. Effective communication … to help establish a network within the business. Knowledge of tools such as Python, R, or other analytical language/tools. Awareness of appropriate statistical techniques for insurance analysis. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. more »

to hire multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role … You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders more »

support teams in the UK and internationally. Following the success of recent prototyping, the team are now looking to kick on and get multiple statistical models released as part of a major programme of work. The focus of the role is to improve pricing decisions by delivering dynamic pricing … the analysis and models. Collaborate across the business to automate the application of science and machine learning. Key skills and experience: Very strong analytical, statistical, and modelling skills (including time series and ensemble models). Experience of Dynamic Pricing, Price Optimisation, and Demand Forecasting is beneficial. Experience writing more »

dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to financial data analysis. Exhibited excellence in academic and/or extra-curricular more »

of GCP, R or Python Experience of Data Visualisation tools such as Tableau or Power BI A good knowledge of core analytical methods and statistical approaches Predictive modelling experience Experience of measuring the impact of change Candidates will need to show evidence of the above in their CV more »

the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics. Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis. Collaboration and Influence … Extensive experience in advanced analytics and data science, preferably in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points for more »

can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small team … future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and … leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders Have expertise more »