26 to 50 of 100 Remote Statistical Modelling Jobs

strategy by presenting findings to senior leadership and contributing to quarterly business reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into More ❯

strategy by presenting findings to senior leadership and contributing to quarterly business reviews. What you'll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into More ❯

strategy by presenting findings to senior leadership and contributing to quarterly business reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into More ❯

strategy by presenting findings to senior leadership and contributing to quarterly business reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into More ❯

strategy by presenting findings to senior leadership and contributing to quarterly business reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into More ❯

can collaborate with non-Data Scientists to clarify assumptions and influence decisions. You have extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling. You have a keen interest in using AI tools to support data exploration and analysis, and already have some experience in doing so. Where You'll Be This More ❯

career development and succession planning. Analytical Leadership & Adoption: Strong quantitative and problem-solving skills with the ability to work with large, complex data sets, interpret financial metrics, and apply statistical analysis and modelling. Proven track record of driving cultural adoption of advanced analytics and experimentation to embed data-driven decision-making across the business. Technical proficiency: Expertise in data More ❯

address business problems by understanding the characteristics of data sets, identifying patterns, and training end users on completed solutions to drive adoption. Analyze large and complex data sets using statistical methods and data visualization tools to support storytelling. Continuously monitor and evaluate data sources and analysis methods to ensure accuracy and reliability. Develop and maintain an understanding of key … communication of complex or challenging subject matter to business stakeholders. Skills: Expertise in: Microsoft Office Suite; database querying using SQL; and data analysis tools, including SQL, DAX, and Excel. Statistical analysis tools such as R or Python Data visualization tools (Tableau and Power BI preferred) and data visualization, UI/UX, and wireframing best practices. Data architecture principles; data … warehouses (Snowflake preferred); and API integrations. Familiarity with: Machine learning and statistical modeling techniques. Project management tools and UAT processes. Other required skills: Excellent oral and written communication skills, including presentation, training, reading, writing, and listening. Strong critical-thinking and problem-solving skills, including the ability to identify root causes and develop innovative solutions. High attention to detail and More ❯

operational objectives. Collaborate with data scientists, engineers, and stakeholders to translate requirements into scalable AI-driven solutions. Work with structured and unstructured data, applying techniques such as NLP, predictive modelling, and deep learning. Develop and maintain data pipelines and infrastructure to support model training, evaluation, and deployment. Apply best practices in model performance tuning, validation, and monitoring. Contribute to … evaluate their applicability to ongoing initiatives. Ideal Candidate Strong experience in AI/ML development using Python, TensorFlow, PyTorch, or similar frameworks. Solid understanding of data science principles, including statistical modelling, feature engineering, and algorithm selection. Experience with cloud platforms (e.g., Azure, AWS, GCP) and scalable data infrastructure. Background in data engineering, including experience with ETL pipelines, SQL More ❯

Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. … and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modelling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (eg pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience More ❯

. Skills and Experience Proven experience in data science and analytics, ideally within government or regulated sectors. Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural More ❯

The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to More ❯

in data practices You 5+ years' experience in data analysis or marketing analytics, ideally within an agency environment Strong SQL, Excel and Power BI skills; Python or R for statistical modelling and forecasting Deep understanding of marketing performance metrics and KPI frameworks Excellent communicator, able to turn complex data into clear, engaging insight for non-technical audiences Comfortable More ❯

and research teams. 6 Month rolling contract - multi-year renewals Up to £950 per day, INside IR35 Hybrid working: 2 days in office LDN Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

Job Description Summary In this role, you will understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs in neuroscience, discover actionable insights and automate process for reducing effort and time for repeated use. Moreover, you will manage the implementation and adherence … The Role As a Senior Principal Data Scientist in the Advanced Quantitative Scientists group you will be responsible for the discussion and implementation of data science and high-dimensional modelling methodologies applied to patient-level data (including various biomarker, clinical and outcomes data) across clinical development in Neuroscience. You will combine your data science and AI skills and your … neuroscience. Good understanding of clinical study design principles and basic familiarity working with clinical data in a clinical trial (GxP) setting. Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modelling, longitudinal modelling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest More ❯

support clients in interpreting analytical results. Build algorithms applicable across varied use cases and markets. Key Skills & Experience Strong experience interfacing directly with customers. Background in data science , including statistical modelling, machine learning, or applied analytics. Proficiency in Python for data analysis, modelling, and cloud application development. Exposure to automotive systems, electrification, or battery applications . Additional More ❯

support clients in interpreting analytical results. Build algorithms applicable across varied use cases and markets. Key Skills & Experience Strong experience interfacing directly with customers. Background in data science , including statistical modelling, machine learning, or applied analytics. Proficiency in Python for data analysis, modelling, and cloud application development. Exposure to automotive systems, electrification, or battery applications . Additional More ❯

user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights Interacting with clients on a regular basis and providing … pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science More ❯

user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights Interacting with clients on a regular basis and providing … pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science More ❯

user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights Interacting with clients on a regular basis and providing … pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science More ❯