76 to 100 of 114 Statistical Modelling Jobs in the UK

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 »

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 BARNSLEY 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 »

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 »

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 »

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 »

issues, and will lead and participate in the successful planning, implementation and delivery of large complex projects. With an advanced understanding of mathematical and statistical modelling tools, the successful candidate will additionally possess experience managing stakeholders at all levels. Advanced knowledge of Excel and Psicle is preferred. A 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 »

LEAD DATA SCIENTIST £60,000 – 75,000 LEICESTER 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! THE COMPANY A UK renowned retailer within fashion going through a HUGE digital transformation and … successful candidate will have the following skills and experience: Strong SQL/R/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 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. Role more »

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

My client is committed to sizable increases on any base salary alongside market-leading bonuses. Key Responsibilities will include: · Develop and maintain the risk modelling, pricing, and analytics suite to enable effective decision making by Risk, Portfolio Managers, and the Investment Committee · Assist Risk Managers to identify, evaluate and … other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of others more »

performance. Collaborate closely with cross-functional teams including Operations, Logistics, and IT to understand business requirements and develop innovative solutions. Utilize your expertise in statistical modeling, machine learning, and time series analysis to extract insights from large-scale datasets and drive data-driven decision-making. Continuously monitor and refine … abreast of industry trends and best practices. REQUIREMENTS: Strong proficiency in programming languages such as Python or R, with experience in data manipulation and statistical analysis. Solid understanding of forecasting methodologies including time series analysis, regression, and machine learning algorithms. Previous experience working in supply chain or logistics analytics more »

Responsibilities include: Interacting with and influencing business and finance customers to gather, calculate and present data. Supporting with input forecasting using trend analysis and statistical modeling to drive decision making. Be responsible for the Production Planning as well as cost and service optimization Building short/medium and long … as recommendations to senior leaders Experience in quantitative research or analyses Experience in program/project management Experience working with SPSS, SAS or other statistical software packages Experience utilizing SQL Advanced Excel and Access skills Preferred qualifications Analysis experience in Advanced Planning & Optimization Systems, or Enterprise Resource Planning Systems more »

Statistics Consultancy 4 days office, 1 day WfH Up to £70,000 + bonus Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … ability to predict match outcomes. This role involves working with other data scientists, software engineers and sports experts to research ways in which the modelling approaches can be improved, and then turning those insights into practical modelling solutions that can deploy to production. About you Strong Python experience … to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques more »

ROI analysis, synthesising recommendations, and presenting to senior executives Pragmatism; understanding of when analysis is good enough to finish Statistically literate, competent with some statistical testing or modelling techniques Here’s a flavour of what our analysts have been up to this week: Worked with design and product more »

cell RNA-seq data, spatial transcriptomics data, bulk RNA-seq data to evaluate effects of gene perturbation on cell models Involvement in experimental design & modelling of deep phenotyping or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional teams bringing together best … in-class Drug Discovery, Drug Development, Product & Project Management capabilities. Routinely use Python/R for data analyses, in particular data wrangling, modelling, and visualisation. Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows. Lead, co-develop, and run pipelines in a cloud … for instance lncRNAs) Experience in building and deploying pipelines (e.g. Nextflow) for data science Skills & Competencies Required Deep understanding of human biology beyond the statistical/ML models being developed Good knowledge with rapidly prototyping, writing and maintaining Python and/or R code, harnessing statistical tools for more »

Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statistical modelling. Able to communicate complex technical concepts to specialist/non-specialist audiences and demonstrate impact from data science and analytics work. Is passionate … about using customer data & statistical/technical expertise to help businesses understand customer behaviour and take action. A positive, can-do attitude and a proactive approach; a great team player. What you’ll get for this role: Our purpose - with you today, for a better tomorrow – is a promise more »

anomalies, and opportunities in financial markets. Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance … in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial more »