1 to 25 of 38 Permanent Statistical Modelling Jobs with Hybrid or WFH Options

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 »

of several Principle Econometrics consultants to join their team. The principle consultant will lead measurement projects, develop key accounts, ensure quality control output, perform statistical modeling, and integrate research insight from a wide variety of sources to build compelling insight stories. Insights must then be delivered in a practical more »

days a week in London. Must have 1-3 years hands on MMM experience Seeking a highly skilled and personable Econometrics/Market Mix Modelling (MMM) Analyst to join a dynamic marketing effectiveness team. You will be a key player in leveraging your expertise in econometric modelling to … on new and exciting projects, with lots of work guaranteed and in the pipeline Perform high-quality data analytics along with Developing and running statistical models. Create insightful data visualizations & Present findings and recommendations to clients. Opportunity to engage in multiple aspects of the business, including project management, new … development, research & development, and enhancing internal processes and tool development. Your skill set : 1-3 years of hands on experience with MMM (Mix Marketing Modelling) Media agency or media background would be desirable Ability to explain complex modelling in a clear and simple manner Econometrics/Economics/ more »

impact and to help optimise revenues, margins and costs. You will ideally have expertise across: Pricing & Promotions Commercial Analytics Marketing Campaign Measurement Business Process Modelling Data Analytics & Data Visualisation Statistical Modelling Price Elasticity Modelling Competitive Insights This is a unique opportunity to join a rapidly expanding more »

a very good way!The role: The business is looking for a BI Consultant who wants to work with autonomy to provide comprehensive analysis, statistical insights, and tailored solutions for a range of diverse clients. This role involves not only crafting BI solutions but also expanding the client portfolio … involves actively engaging with clients, challenging assumptions, and providing insightful recommendations.Strategic Thinking: Proven ability to think strategically and ensure analysis recommendations have broader implications.Statistical Modelling: Solid understanding of statistical modelling as applied to marketing data.Coding Skills: Strong proficiency in coding languages such as SQL, VBA, with familiarity more »

on a variety of projects. THE ROLE As a Statistician for the business you will: Analyse data to look for patterns and trends, using statistical modelling techniques to build models that the ML Engineering team can put into production Hypothesis testing Evaluate the statistical significance and volume 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 »

Econometrics Consultant (Market Mix Modelling) Paying up to 50k London hybrid working Company Profile You will be joining a digital-first marketing and advertising services company who are focused on connecting the dots across content, data & digital media and technology services. Inspired by the connectivity and flexibility of technology … themselves, authentically, every day. The Opportunity The marketing effectiveness division of the organisation, is looking for a bright and personable Econometrics/Market Mix Modelling (MMM) Analyst at the top of their game in the econometric modelling field to really influence and help drive the company on towards … clients over a range of industries Produce outstanding marketing evaluation projects to clients Exceptional data analytics Data visualisation Presentation delivery to the client Running statistical models Assisting senior consultants and directors to produce outstanding marketing evaluation projects Help with research and development of tools and ideas to grow the 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 »

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 »

serving patients in nearly 75 countries. For more information, please visit and on Twitter. Brief Description: The Director, Oncology Early Development Biostatistics is the statistical lead on Oncology Early Development Jazz Pharmaceuticals drug development projects, and will act as a statistical expert across all studies in the project … s). This position can have direct reports up to Associate Director level, participates in regulatory interactions for the project(s), provides statistical leadership for direct reports, and ensures the quality and timeliness of biostatistics analyses. Contributes to or leads development of departmental processes and procedures, including establishing standards … and operating procedures. Lead statistical input and strategy in governance team discussions. This position works collaboratively with clinicians, data managers, other biostatisticians, and statistical programmers in the planning, conduct, and analysis of early phase oncology clinical studies. Oversees professional development of biostatisticians. Essential Functions Lead early phase oncology more »

will help translate complex findings into compelling narratives that drive informed decision-making. You'll oversee key areas from Data Analysis and Interpretation, and Statistical Modelling to Stakeholder Management. Your responsibilities will include: Collect, clean, and analyse large datasets to uncover trends and insights. Develop and maintain dashboards … and reports to track key performance indicators (KPIs). Utilise statistical methods to model and forecast key business metrics. Collaborate with the team to design experiments and evaluate the impact of various initiatives. Deliver insights directly to senior stakeholders, including those up to CEO level. Work with teams across more »

impact of AI solutions. PLACEMENT CRITERIA & REQUIREMENTS Background in statistics and data science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL more »

impact business outcomes. What you ll bring to HeliosX Advanced degree in Statistics, Computer Science, or a related field, with a strong foundation in statistical modelling and machine learning. At least 5 years of professional experience in a data science or similar role. Expertise in Python, Jupyter Notebooks more »

also be considered. Experience in technical Model Validation team or Front Office Quant role. You have highly analytical skills, deep understanding of mathematical/statistical models and their implementation in finance. Experience in scientific programming and data visualization in Python or R. You have a hands-on-approach, good more »

You have 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. Hands-on experience building and estimating statistical models and time-series forecasting with large-scale, real-world datasets. Software development experience in Go, C/C++, Java, or similar. Experience using more »

You have 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. Hands-on experience building and estimating statistical models and time-series forecasting with large-scale, real-world datasets. Software development experience in Go, C/C++, Java, or similar. Experience using 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 »

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 »

using virtual and serveless hardware, deployment quantitative models to production. The systems include market data loading, pricing, sensitivity based risk analytics, historical back-testing, statistical analysis of relevant market data, numerical implementations of analytical modules in Python. Barclays is one of the world's largest and most respected financial … our business. What will you be doing? Maintaining of current risk applications and models Coming up with clear and solid designs to implement proposed modelling changes, to deliver in dynamic, agile, and often ambiguous contexts Delivering prototypes using or extending as appropriate our Python-based modelling platform Developing … model systems, supporting runtimes using virtual and serveless hardware, deployment quantitative models to production Experience in development and support of quantitative development process, including statistical and machine learning models Analytic skills: financial mathematics, time series, statistical analysis, numerical analysis, etc Where will you be working? Our Prague office 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 »

using virtual and serveless hardware, deployment quantitative models to production. The systems include market data loading, pricing, sensitivity based risk analytics, historical back-testing, statistical analysis of relevant market data, numerical implementations of analytical modules in Python. Barclays is one of the world's largest and most respected financial … cutting-edge machine learning and artificial intelligence methodologies to enhance Market and Counterparty credit risk monitoring and management Developing computational methods and mathematical and statistical models, including VaR/CVaR, stress-VaR to be used for risk management applications Researching, formulating, and implementing quantitative models and solutions to optimize … model systems, supporting runtimes using virtual and serveless hardware, deployment quantitative models to production Experience in development and support of quantitative development process, including statistical and machine learning models Analytic skills: financial mathematics, time series, statistical analysis, numerical analysis, etc Where will you be working? Our Prague office 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 »

of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statistical analysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate flexibility … agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and more »

process the data of different modalities (sequence, structures, experimental measurements) and curate them for data analysis and machine learning. Conduct rigorous data analysis and statistical modelling to interpret the data and model performance. Report results clearly and efficiently, both internally and externally, verbally and in writing. Write high … of molecular biology, structural biology, immunology, or a related discipline, demonstrated via previous work or publications. Data science and statistics experience including data visualisations, statistical testing, etc. Proficient in writing clean and maintainable code in Python. Strong desire to work with biological applications. Excellent communication skills in English and more »