44 Statistical Modelling Jobs in the UK excluding London

Our people are responsible for a range of work, including: Building sophisticated models to assess risk and generate suitable prices for customers. Analysing new statistical models, building pricing structures in Radar (an algorithmic tool). Creating reporting suites and creating suitable algorithms for new propositions. Communicating complex ideas simply. more »

for: Designing, creating, and managing efficient data pipelines for handling large data volumes effectively, whilst deploying real-time processing for prompt analyses. Applying advanced statistical techniques and predictive modeling to recognise patterns and anomalies in extensive datasets, facilitating informed decision-making. Collaborating closely with engineering and product teams to … Python, R, and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could have experience with cloud-based big data architectures more »

SEC, HIC, PLRP, IEX, HILIC), CE-SDS, CIEF, UV and FTIR spectrophotometry. Experience of Quality by design (QbD) and Design of Experiments (DoE)/Statistical modelling methods & software packages an advantage. Excellent communication skills and the ability to deliver an effective presentation on technical content to a wide 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 »

this role are expected to apply knowledge of experimental methodologies, statistics, Reinforcement Learning, Optimisation, Probability Theory, and Machine Learning using code for tool building, statistical analysis, and modelling, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a … can be leveraged by multiple use cases as well as models Model training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product 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 »

cost analysis and dealing with stakeholders A multidisciplinary approach to mechanical, electrical, and chemical engineers' environment's product design and development Methods and analysis - statistical methodologies, Statistical analysis, modelling and simulation The Candidate Understanding of engineering processes, in particular systems engineering Critical thinker Experience of engineering design more »

cost analysis and dealing with stakeholders A multidisciplinary approach to mechanical, electrical, and chemical engineers' environment's product design and development Methods and analysis - statistical methodologies, Statistical analysis, modelling and simulation The Candidate Understanding of engineering processes, in particular systems engineering Critical thinker Experience of engineering design more »

but not essential Skilled in programming languages such as python or R. Knowledge/hands-on experience with Machine Learning and/or predictive modelling approaches Experience using machine learning methods and statistical models is again a plus Strong communication skills with the proven ability to relay information … R&D, research, antibody, immunology, immune, knowledge, graph, machine, deep, learning, ML, database, software, neo4j, CRO, project, management, python, programming, pipeline, tool, model, algorithm, statistical 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 »

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 »

funding, they're now looking at scaling their team as their client base and products expand. **Responsibilities:** - Analyze complex datasets using advanced analytical and statistical methods to uncover trends, patterns, and relationships. - Develop and deploy machine learning models for predictive and prescriptive analysis. - Create algorithms and statistical models more »

Specification Qualifications Essential Foundation level degree or equivalent in an IT or numerate related subject or equivalent qualification/experience. Desirable Qualified in a statistical discipline or have experience of applying statistical model to complex problems. Knowledge and Understanding Essential Good working knowledge and experience in the effective more »

from conceptualization to deployment and monitoring. Proficiency in Cloud ML solutions, with hands-on experience in Docker and Kubernetes . A deep understanding of statistical modeling and analysis . Expertise in Python , along with familiarity with essential ML tools and libraries. Experience with ML experiment tracking and collaboration tools … flow, Kedro, etc. Proficiency in pipeline orchestration with tools like Airflow, Kubeflow, and Argo . Exceptional communication skills, with the ability to articulate complex statistical concepts clearly. Personal Competencies: A results-oriented professional with a fervent passion for innovation and a self-motivated, proactive approach. Exceptional organizational skills, fluent more »

industries. We expect our analysts to come with brains as standard – so you will understand analytics, have experience with coding languages, have experience building statistical/data science models & used visualization tools - but we look for curious individuals that have a passion for data and analytics, that want to … You will be involved in all stages of the analytical process from spec'ing out what data you may need, data cleansing, visualising data, modelling and delivering the final results. You will work with the client team as you go through the project – from gaining domain knowledge, regular updates … stages from data gathering to final delivery 2+ years of experience in an analytical role Advanced knowledge of SQL, R or Python Data science modelling experience Experience working with (very) large and messy datasets. Knowledge of relational database design concepts Code automation and optimization. Additional Information Dentsu is an more »

Manages conflict in a constructive and culturally appropriate way. Has the courage to assert own view and challenge appropriately •Data analysis: Techniques that include, statistical process control, reliability modelling and prediction, fault tree analysis •Common Vision: Understands and contributes to the business vision and strategy. Aligns work to more »

a cross functional team that works collaboratively with the platform and product engineering groups to implement and maintain real time process monitoring, informatics and modelling on Pharmaceutical Supply Chain (PSC) production and R&D Oral and Solid Dose (OSD) process platforms. The role is a key component for the … D site. Job Purpose: Reporting into the division’s Director (Oral Solid Dose MSAT), you will own and provide technical expertise for PAT and Modelling of production data with a One-Pharma team working in the R&D and manufacturing sites. Key elements of the role include: Managing the … applications, as well as collaborate with the wider PE&A (Process Engineering & Analytical) group to realize the full value of PAT and MSPM (Multivariant Statistical Process Monitoring) outputs. You will seek opportunities for interventions on platforms to positively impact quality metrics in the OSD production streams (using a full more »

the development of the inference engine leveraging digital signal processing techniques for feature engineering of two-dimensional time series data. Design, implement, and optimize statistical, deep learning, and ensemble models for microbial identification and antimicrobial profiling. Translate research findings and emerging machine learning technologies into practical applications within our … with 3+ years of relevant work experience. Strong expertise in feature engineering of two-dimensional time series data and digital signal processing. Proficiency in statistical modeling, deep learning, and ensemble methods. Experience deploying machine learning models in real-world applications, preferably in a medical context. Familiarity with model interpretation more »