1 to 25 of 28 Remote/Hybrid Statistical Modelling Jobs in the UK

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

data-driven models and insights that directly support product development, customer experience, and commercial decision-making. The successful candidate will have strong experience in statistical modelling, machine learning, and experimentation , with the ability to work closely with product and engineering teams to deliver practical, scalable solutions. Key Responsibilities … Data Science & Modelling Develop, test, and deploy statistical and machine learning models to support product features and business decision-making. Apply predictive modelling, classification, and optimisation techniques to real-world problems. Perform exploratory data analysis to identify trends, patterns, and opportunities for improvement. Experimentation & Insights Design ...

analytics and deep insights to power our products, optimise our processes, and uncover new opportunities. We are seeking an experienced Data Scientist with strong statistical expertise, analytical curiosity, and creative problem-solving skills to join our growing team. In this role, you will work closely with cross-functional teams … organisation. Objectives •Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation. •Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems. •Translate analytical findings into clear, actionable insights that drive strategic decisions. •Embed data science ...

industrial automation. · Proficiency in Python, R, or MATLAB, with experience in ML frameworks such as TensorFlow, PyTorch, or scikit-learn. · Strong knowledge of statistical techniques, model evaluation metrics, and validation methodologies. · Experience preparing and wrangling large datasets for model validation. · Familiarity with cloud platforms (AWS, Azure, GCP) and production ...

personable Business Intelligence or Data professional with Power BI experience? Do you have a passion for engaging with people generating new insight, generating statistical models, forecasting, and providing the information make informed business decisions? Let Informed Recruitment help you to achieve your potential with an exciting opportunity ...

personable Business Intelligence or Data professional with Power BI experience? Do you have a passion for engaging with people generating new insight, generating statistical models, forecasting, and providing the information make informed business decisions? Let Informed Recruitment help you to achieve your potential with an exciting opportunity ...

Lead to design, build and iterate on analytical prototypes and automated reporting solutions. You'll take ownership of everything from exploratory data analysis and modelling to developing proof‐of‐concept applications that enable deeper insight into marketing performance. The environment is intentionally lean; success requires someone who thrives … automated solutions. Prototype and integrate AI/ML models to enhance analytical workflows and automate insight generation. Explore and develop new measurement methodologies and modelling techniques; conduct exploratory analyses to surface new insights. Translate business questions into structured analytical approaches and communicate findings clearly to non‐technical partners. Balance ...

technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession ...

Strong SQL, Excel and data manipulation skills with experience in BI tools like Tableau or Power BI Programming experience in R or Python for statistical analysis and data modelling Experience with relational databases (Oracle, SQL Server) and database design Exposure to VBA, Bash scripting or other automation tools … Knowledge of financial services data, risk modelling or regulatory reporting is a plus Familiarity with cloud platforms like AWS or Azure for data analytics is desirable Comfortable working across multiple stakeholders and presenting insights at executive level Strong communication skills and ability to translate complex data into clear recommendations ...

passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear … experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such ...

Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk selection, pricing, aggregation monitoring, catastrophe response and portfolio management. Partner with Product Design and Decision Science teams ...

Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use). Familiarity with ...

Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use). Familiarity with ...

learning, and the chance to make a difference. About the Role As a Data Scientist, you’ll work end-to-end across data pipelines, modelling, and insights — helping the business make smarter decisions every day. You’ll collaborate with product, engineering and senior stakeholders, with full support from … team. If you love solving problems, asking questions, and building useful things with data, this role is for you. Key Responsibilities ✅ Build predictive and statistical models using Python ✅ Develop end-to-end data pipelines and automated workflows ✅ Analyse behavioural, financial or operational datasets ✅ Create dashboards and visualisations ...

challenges Design and implement predictive models, machine learning algorithms, and AI-driven solutions Build and optimize data pipelines for advanced analytics Deliver insights through statistical analysis, visualization, and storytelling Advise clients on data strategy, governance, and best practices Collaborate with multidisciplinary teams to deliver impactful outcomes Your Profile Experience … data science or analytics to Principal-level leadership Proficiency in Python, R, SQL, and familiarity with Spark, TensorFlow, PyTorch Strong knowledge of machine learning, statistical modeling, and data engineering principles Experience with cloud platforms (AWS, Azure, GCP) Excellent communication and client-facing skills Active SC or DV Clearance ...

data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. … Data modelling experience and understanding of the Kimball methodology Desirable Expertise: DP-600 – Fabric Analytics Engineer Associate PL-300 – Power BI Data Analyst Associate DP-700 - Fabric Data Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build ...

high-impact solutions Stay ahead of healthcare trends and use data to inform strategic decision-making Technical Development & Delivery Build and deploy advanced analytics, statistical models, and machine learning solutions Ensure solutions are robust, scalable, accurate, and production-ready Collaborate with data engineers on scalable pipelines and cloud infrastructure … deploying models and software using cloud platforms and containerisation Deep understanding of data privacy, governance, and access requirements Advanced proficiency in Python and core statistical/machine learning techniques Excellent understanding of statistics and analytical best practice Experience with relational databases Ability to translate business problems into technical solutions ...

requirements: Preferably some 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 ...

performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them … will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters ...

influence strategy, game-economy design, and commercial performance. As a Senior Data Scientist, you’ll work across player behaviour, game-economy optimisation, and predictive modelling, helping to scale automated decision systems across the organisation. Your work will be highly visible, with frequent opportunities to present directly to senior leadership. … strategic decision-making. Collaborate across data science, engineering, product, and commercial teams to deliver end-to-end solutions. Improving player retention and engagement using statistical modelling. Enhancing automated decision systems across the gaming ecosystem. Evaluating reward effectiveness and game-economy balance. Driving experimentation and structured multivariate testing across product ...