26 to 49 of 49 Statistical Modelling Jobs with Hybrid or WFH Options

and dashboards to provide clear and actionable insights to stakeholders. Assist in the optimization of sales funnels and forecasting models through data analysis and statistical modelling. Collaborate with cross-functional teams to improve data quality, integrity, and governance. Work within the marketing function to enable growth using Data Analytics … paced environment. Strong proficiency in Python, R, and MATLAB, Experience with data visualization tools such as Tableau, Power BI, or D3.js. Solid understanding of statistical analysis and predictive modelling techniques. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills to more »

opportunity for idea generation and chance to directly influence PnL. Your Role: Devise and upkeep automated futures - and broader market - forecasting strategies Implement advanced statistical and machine learning techniques to search for alpha signals Exposure to entire research cycle - from data gathering and idea generation to signal implementation, back … quant analyst Prior exposure to futures products - EU or US - with holding periods intraday and shorter. Technically strong and Python proficient Advanced competence in statistical modelling (Bayesian, stochastic, time series etc.) and/or machine learning. Pre-Application: Please do not apply if you're looking for a more »

a possibility of extending) Start: ASAP Location: Remote (Candidates Must be in Europe) Position Type: Freelance/Contract/B2B Summary: As a Probabilistic modelling Specialist of our global team for enterprise data, you will work on challenging projects from all areas of industry. By combining strategic and business … and tools for reliability-based decision-making along the value chain. Working in cross-organizational, multi-disciplinary teams supporting application and implementation of probabilistic modelling, machine learning, optimization. Driving the roll-out of probabilistic modelling across the company through knowledge sharing, mentoring, supporting technical trainings. Staying up to … date on latest developments in advanced statistics and data science as well as the respective domains like physics-based modelling to help the business make truly data-driven decisions. Collaborating in a partner ecosystem across industry and academia to drive research and leverage know-how in this field. Documenting 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 »

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 »

of extending) Start: ASAP Location: Remote (Candidates Must be in United Kingdom) Position Type: Freelance/Contract/B2B Summary: We are seeking Probabilistic modelling Specialist with a strong background in risk assessment, data analysis, and machine learning. The ideal candidate will be responsible for designing, developing, and implementing … making processes. Lead the design and development of a risk assessment tool/module to evaluate the potential risks of new projects. Utilize advanced statistical, probabilistic, and machine learning techniques to identify, quantify, and predict risks. Integrate the tool with existing project management systems and ensure seamless data flow … management or project management is highly desirable. Proficiency in programming languages such as Python, R, C++ or SQL. Strong understanding of machine learning algorithms, statistical methods, and probabilistic modeling techniques. more »

data profiling methodologies. Establish the use of engineering best practices around CI/CD, unit testing, performance testing and optimization. Design, develop and implement statistical models to carry out various novel aspects of classification and information extraction from data. Partner directly with the Data Architecture team to ensure quality … hashing, and implementation of required data model changes. Analyze data to spot anomalies, trends, and correlate similar data sets. Design, develop, and implement general statistical models. Troubleshoot problems, identify possible solutions, and resolve accordingly. Ensure adherence to risk policies and standards as set forth by the organization. Lead junior more »

Statistician/Python/Models/Algorithms/Data Modelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £70,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and … integrity of the data, detecting anomalies or discrepancies. • Your proficiency in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical … to project needs. • Prototype data models to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel 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 »

that support short term incentives and annual bonus plans as well as associated payments that form part of the annual reward cycle. Provides guidance, statistical analysis, data modelling and cost analysis as and when required. Deliver regular data reports that hold up to date information on the respective more »

capabilities. Job requirements: Experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and more »

in the first instance starting 4th November 2024. Main duties of the job The successful candidate will be involved in cutting edge research utilising statistical and machine learning models for biomarker discovery, contributing to the advancement of Food allergy. This project will be carried out under the supervision of … strongly proactive, knowledgeable and able to solve complex problems with strong data management skills and a high degree of proficiency with one or more statistical software (e.g., R, Matlab, Python). You should also have experience preparing oral and written reports of research findings. Relevant training and development will … be encouraged both internally and through identifying relevant external courses and seminars. Essential requirements You must hold a PhD in Bioinformatics, Statistical Genetics, Statistics or an equivalent subject, or be nearing PhD completion. Experience with the analysis of omics data Proficiency with R, Matlab or Python 2-3 years more »

marketing performance of our client’s business more strategically. Efficiently query and analyse data across multiple SQL databases. Initiate impactful analytics projects, generate actionable statistical insights and translate them into business recommendations. Collaborate closely with the clients and wider team of strategists, account managers, and other specialists. Support and … while collaborating closely with the clients and wider team. Query and manipulate data from a variety of sources, and explore the data with rigorous statistical methods (including building models where needed). Conduct regular reporting, automate processes and create reproducible code and documentation. Support the business in implementing solutions … Skills . Query, manipulate and join data from databases with reproducible code (e.g. SQL, Python, R, etc) Conduct rigorous exploratory data analysis with appropriate statistical methods in code (e.g. Python or R) – knowledge of linear models is a bonus. Listen to clients deeply to understand the business problem first more »

Delivery team within PAI. This team is responsible for carrying out both quantitative and qualitative analysis and insight on HMRC people data. Activity includes, modelling, forecasting, optimisation, research, survey design and implementation and focus groups. As a people analytics and insights officer you will have the opportunity to work … while also possessing a collaborative approach and a keen willingness to work with others to achieve progress against shared objectives. Essential Criteria Proficient in statistical software packages such as R Studio and SPSS and strong Excel skills. Excellent time management skills being able to set and clearly communicate own … experience working in an analytical environment. Experience of two or more of the following techniques: Manipulating large datasets. Predictive analytics. Segmentation analysis. Hypothesis Testing. Statistical Data modelling. Optimisation. Simulation. Machine learning. Desirable Criteria: A willingness to take ownership of personal development, setting realistic goals to improve abilities. Stakeholder engagement more »

Delivery team within PAI. This team is responsible for carrying out both quantitative and qualitative analysis and insight on HMRC people data. Activity includes, modelling, forecasting, optimisation, research, survey design and implementation and focus groups. As a people analytics and insights officer you will have the opportunity to work … while also possessing a collaborative approach and a keen willingness to work with others to achieve progress against shared objectives. Essential Criteria Proficient in statistical software packages such as R Studio and SPSS and strong Excel skills. Excellent time management skills being able to set and clearly communicate own … experience working in an analytical environment. Experience of two or more of the following techniques: Manipulating large datasets. Predictive analytics. Segmentation analysis. Hypothesis Testing. Statistical Data modelling. Optimisation. Simulation. Machine learning. Desirable Criteria: A willingness to take ownership of personal development, setting realistic goals to improve abilities. Stakeholder engagement more »

Delivery team within PAI. This team is responsible for carrying out both quantitative and qualitative analysis and insight on HMRC people data. Activity includes, modelling, forecasting, optimisation, research, survey design and implementation and focus groups. As a people analytics and insights officer you will have the opportunity to work … while also possessing a collaborative approach and a keen willingness to work with others to achieve progress against shared objectives. Essential Criteria Proficient in statistical software packages such as R Studio and SPSS and strong Excel skills. Excellent time management skills being able to set and clearly communicate own … experience working in an analytical environment. Experience of two or more of the following techniques: Manipulating large datasets. Predictive analytics. Segmentation analysis. Hypothesis Testing. Statistical Data modelling. Optimisation. Simulation. Machine learning. Desirable Criteria: A willingness to take ownership of personal development, setting realistic goals to improve abilities. Stakeholder engagement more »

by helping define the data environment we need to develop) We are looking for: 3-5+ (could be much more) years experience building statistical models in Python and extracting/manipulating data in SQL is essential , 3-5+ years experience in consulting and/or start-up … environments related to the financial services industry, Credit risk modelling experience including building probability of default models is required (doing so for SME/commercial lending preferred but not essential) LLM experience would be beneficial but is not essential, especially if it includes experience of Retrieval Augmented Generation techniques. more »

Delivery team within PAI. This team is responsible for carrying out both quantitative and qualitative analysis and insight on HMRC people data. Activity includes, modelling, forecasting, optimisation, research, survey design and implementation and focus groups. As a people analytics and insights officer you will have the opportunity to work … while also possessing a collaborative approach and a keen willingness to work with others to achieve progress against shared objectives. Essential Criteria Proficient in statistical software packages such as R Studio and SPSS and strong Excel skills.Excellent time management skills being able to set and clearly communicate own priorities more »

a computational perspective, research in the Institute builds and expands upon a variety of methods, from strategies for sequence analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific … approaches to reveal the impact of the environment on human health and physiology, both at the individual and the population level. T heory - using modelling, mathematical reasoning, and conceptual approaches to study complex and dynamic biological systems. You have An aspiration to work on key questions in bioinformatics and more »

to join their growing team on an exciting journey to support the development of advanced therapeutics addressing critical healthcare challenges. You will lead advanced modelling methods, with a focus on generating novel target recommendations, validating them in models, and translating them into therapeutics. Principal Computational Biologist key responsibilities: – Lead … the ‘advanced modelling’ workstreams, and be the point of contact and a role model for advanced modelling within the company. – Maintain strong domain knowledge of leading ‘omic and ‘big data’ computational methods – Drive experimental design & modelling of phenotyping and/or omics data in close collaboration with … 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 more »

to support the development of advanced RNA medicines for one of the most pressing healthcare challenges of our time. The role will lead advanced modelling methods within a functional genomics and imaging team, with a sharp focus on generating novel target recommendations, validating them in models (including actual human … liver disease. This role will be based at Oxford Science Park. UK remote work is possible, with site visits. Key Responsibilities Lead the ‘advanced modelling’ squad within the In Silico Biology Team, and be the point of contact and a role model for advanced modelling within the company. … Maintain strong domain knowledge of leading ‘omics' and ‘big data’ computational methods Drive experimental design & modelling of deep phenotyping and/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 more »

role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … optimization scenarios. Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical more »

have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance more »

Summary As agreed and directed by the Senior Manager, the Technical Data Analyst will: Support the TSI team with the provision of data and statistical analyses and/or modelling for awarding purposes, as required, working closely with Leads and Specialists; Be able to manipulate, analyse and interpret … complex data sets of examination data including statistical and psychometric analyses of outcomes and performance, with guidance as necessary. Gain a good understanding of qualifications, their structure such as weighting and scaling measures, and other aspects of results delivery, for example, aegrotat calculations. Translate and present data in a more »