1 to 25 of 105 Statistical Modelling Jobs

Research Engineer, Modelling Engineer, Statistical Modelling, COR 5441 A Research Engineer with a strong mathematical background is required to join my client, an a pioneering research company based in Oxford! The Role As the Research Engineer you will implement optimisation techniques, in order to capture complex, real … world issues within our client's vital forecasting models. Working closely with other areas of the business, the Modelling Engineer will drive forwards software development best practices within the team, with a strong focus on meeting client's requirements. The Company Founded by a group of University of Oxford … an exciting new role within a growing company who are looking to solve real world issues, please apply today to learn more! Research Engineer, Modelling Engineer, Python Corriculo Ltd acts as an employment agency and an employment business. #INDEV #MR #teamb2 more »

expand its team and is looking to onboard a Junior Quant Analyst in London. The Role The successful candidate will have extensive experience in statistical modelling and data analysis. They will also be supporting the power trading desk by researching fundamental data to identify market trends and anomalies. … business Present findings and recommendations to internal stakeholders. Requirements PhD or graduate degree educated in a STEM field. Experience with data analysis and predictive modelling (eg: machine learning, statistical modelling, etc.) Programming in R, Python or similar scripting language. Solid understanding of probability and statistics. Excellent communication more »

Done: Demonstrated experience in leading high-performance data science teams. Proven track record of integrating data science into various business functions. Strong background in statistical modelling and analytics. What You Will Do: Leadership: Lead a cross-functional data team and drive the development of product research initiatives. Partner … shape business and data strategy. Educate and inspire team members through continuous professional development. Data Science and Research Analytics: Lead advanced quantitative analyses using statistical modelling approaches. Guide the implementation of new analytical and data products. Oversee the evaluation of third-party data sets to enhance our offerings. more »

This post represents an exciting opportunity to contribute to the development of analytical strategy and modelling capability within high performing financial analytics team. The business is looking at exceptional level analytical graduates, whom have excelled academically within Mathematical Sciences, Statistics, Operational Research or Economics (or equivalent). Any commercial … data mining techniques to help the business understand customer intelligence, credit risk and price propositioning Specifying, implementing and maintaining databases in support of the statistical model development and monitoring. Performing detailed and well documented analysis to support the development of the models. Apply Mathematical Modelling and Statistical analysis to segment customer groups accordingly Contribute to highly analytical scenario modelling to drive gross margin performance Support the business analytically on monthly performance reporting Communicate complex MI to a non-statistical audience, present conclusions from analysis to enhance decision making with stakeholders Requirements: STEM based degree more »

Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees … and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications more »

and marketing mix modeling (MMM) to drive strategic insights and recommendations for optimizing marketing efforts. This role requires a deep understanding of data analysis, statistical modelling, and marketing principles to analyze complex datasets and translate findings into actionable marketing strategies. Key Responsibilities: Design and Execute Test & Control Analyses … Marketing Mix Modeling (MMM): Lead the development and refinement of MMM to understand the effectiveness and ROI of marketing spend across different channels. Use modelling results to inform budget allocation and marketing strategy. Data Management and Analysis: Collect, clean, and analyze data from various sources to support modelling … focus on test & control analysis and marketing mix modeling. Prior experience in a consulting or agency setting is a plus. Technical Skills: Proficiency in statistical software (e.g., R, Python, SAS) and database querying languages (e.g., SQL). Strong understanding of statistical modeling, forecasting, and data analysis techniques. Experience more »

data to extract impactful insights Analyse vast amounts of data from across various areas of the business, finding trends through deep dive analytics and statistical modelling Use data modelling to predict trends and provide insights on future trends and company projects Focus on customer insights and understanding … 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 Insights more »

Research Engineer, Modelling Engineer, Statistical Modelling, COR5441 A Research Engineer with a strong mathematical background is required to join my client, an a pioneering research company based in Oxford! The Role As the Research Engineer you will implement optimisation techniques, in order to capture complex, real world … issues within our client’s vital forecasting models. Working closely with other areas of the business, the Modelling Engineer will drive forwards software development best practices within the team, with a strong focus on meeting client’s requirements. The Company Founded by a group of University of Oxford academics more »

identifying trends and opportunities. Collaborating with key stakeholders from around the business to understand their data needs. Working with large data sets and applying statistical modelling to unearth useful insights. Tell a story form the data and make actionable recommendations to drive strategic decisions. Implement processes to improve … Passionate about understanding the customer and using data to drive business strategy Ability to unearth actionable insights from complex data Ideally has experience in statistical and predictive modelling (desirable) Presentation skills and experience managing senior stakeholders If you are interested in this role, please get in touch with more »

to data enabled market insights and contribute to our future growth of the UK business, gaining hands-on experience in data analysis, machine learning, statistical modelling, and data visualization. This apprenticeship offers a unique opportunity to combine academic learning with practical work experience, preparing you for a rewarding … Merit Strong analytical skills with a passion for working with data. Basic knowledge of programming languages such as Python, R, or SQL. Familiarity with statistical concepts and techniques. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a fast-paced environment. Eagerness to learn and adapt more »

with a well-established company! About the Company Founded in 2014 and based in Oxford, UK, this dynamic analytical consultancy specialises in data analysis, statistical modelling, and various analytical techniques like BI and Risk Management. They provide businesses with custom, secure solutions, primarily working in the cloud with … completion Partner with business development initiatives by identifying upselling and cross-selling opportunities, contributing to proposal development, and engaging in client acquisition activities Utilise statistical methods and data visualisation tools to analyse data, identify trends, and support executive decision-making with data-driven insights and compelling storytelling Engage directly more »

analytical models and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from diverse datasets. This role requires … them into reusable architecture artefacts for the enterprise. Develop and deploy advanced machine learning models using Azure Machine Learning and open-source stack. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide and nurture talent within data science team, fostering their growth, skill … needs of the business. To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected Statistical modelling of data. Document methodologies, experiments, and results to ensure the reproducibility of analyses. About you Bachelor's or Master's degree in more »

As an international service provider for pharmaceutical research, Numerus provides high-quality statistical analysis as our contribution to improving healthcare through medicine. Headquartered in the UK, west of London, and with offices in Germany and Switzerland we are proud to be the analytical service provider of choice for pharmaceutical … are actively looking to expand our team in Wokingham with a permanent position on a full or part-time basis. Your role: Applying innovative statistical approaches to solve novel data challenges Leading projects, ensuring efficient project management, compliance, and high-quality deliverables Analysing phase III clinical trial data in … order to support HTA submissions Providing statistical consultancy to internal and external customers Planning, analysing, and visualising observational and real-world data Supporting systematic literature reviews, data extraction, and analysis Critically appraising quality and reliability of data sources to support HTA decision-making Mentoring junior colleagues Contributing to internal more »

passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills Statistical Modelling and experience of applying data science into client problems . What you can expect from us We won’t just meet your more »

Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great learning and development more »

Are you passionate about harnessing the power of AI to revolutionise energy management systems? Look no further! We are seeking a talented AI Data Modelling Developer with expertise in Python and a keen understanding of energy power systems. As part of our dynamic team, you'll have the opportunity … implement scalable and efficient solutions for data analysis and predictive modelling. Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure. Conduct statistical modelling to identify energy trends, support energy planning and forecast utility consumption and budgets. Conduct research and stay updated on advancements in AI … and energy technology. Requirements: Proficiency in Python programming and experience with other relevant libraries and software. Strong understanding of data modelling, machine learning techniques, and statistical analysis. Knowledge of energy power systems, including renewable energy sources and grid optimisation. Excellent problem-solving skills and ability to work in more »

Data Science, Computer Science, Statistics or a related field Proven experience as a Data Scientist or similar role Strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Proficiency in programming languages such as Python, R or Scala and familiarity with data science toolkits. Experience with 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 with proven experience 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 more »

and pricing. REQUIREMENTS: Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, or Computer Science. Proven experience in machine learning and statistical modeling, with a focus on credit risk and pricing within the financial/lending industry. Strong programming skills in languages such as Python or more »

other financial institution Strong programming skills in C# and experience with SQL and database management systems 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 »

can be used for recommending targeted interventions (interpretability of models) Skills and qualifications Proven experience as a data scientist; manipulating data sets and building statistical models, knowledge of a variety of machine learning techniques (clustering, decision tree learning etc.) and their real-world advantages/drawbacks. Experience working with more »

to learn Python For engineering, experience in a DevOps role, ideally in a data science environment Proven interest and technical expertise in data science, statistical modelling and/or machine learning Knowledge around software concepts Experience building and deploying data pipelines, e.g. in the context of ETL and more »

with a well-established company! About the Company Founded in 2014 and based in Oxford, UK, this dynamic analytical consultancy specialises in data analysis, statistical modelling, and various analytical techniques like BI and Risk Management. They provide businesses with custom, secure solutions, primarily working in the cloud with more »

managers, peers, and stakeholders. Develop your own skills and capabilities. Experience: Possess an understanding of the full insurance pricing process and a range of statistical techniques for modelling. Proven history of mathematical research (either in academia or in industry) Experience in SQL, Python or is desirable. Python is preferred more »

learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science … group. Responsibilities Building and testing credit and fraud risk statistical models to be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes more »