1 to 25 of 29 Statistical Modelling Jobs in Scotland

Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI More ❯

ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and More ❯

has grown to 75+ data scientists and engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization, generative AI, network/graph modeling, ETL, data pipelines, data architecture, ML engineering, communication, product management More ❯

author in research publications in peer-reviewed conferences or journals. Experience designing and leading complex research projects from ideation to implementation. Deep understanding of statistical modeling, optimization, and algorithm development. Excellent communication skills, with the ability to convey complex technical information to diverse audiences. Our inclusive culture empowers Amazonians More ❯

learning architectures such as LSTMs and Transformers to relevant projects. Stay updated with the latest advancements in generative AI and implement innovative solutions. Conduct statistical analysis to support model development and validation. Required Qualifications, Capabilities, And Skills Formal training or certification on Data engineering concepts and applied experience cProven More ❯

data insights that have influenced business or product decisions. Strong proficiency in SQL for data extraction and manipulation. Experience of Python for data analysis, statistical modelling, and automation. Experience with data visualization tools (e.g., PowerBI, Tableau, Looker) with a focus on creating insightful and clear visualisations, as well More ❯

analytical solutions that support transformation and digital service delivery. Collaborate with cross-functional teams to uncover patterns, surface insights, and shape future services. Apply statistical techniques, machine learning models, and exploratory data analysis to diverse, often complex datasets. Communicate findings through visual storytelling, dashboards, and reports tailored for technical More ❯

Requirements A passionate problem solver focused on customer needs with a Product Management and/or Product Owner experience Domain knowledge in fraud prevention, statistical modelling or AI/machine learning is essential Ability to understand and analyse complex data in association with machine learning and AI algorithms More ❯

Team & culture: Collaborative, cross-functional, and growth-focused. You'll work closely with product, engineering, and analytics peers in a supportive environment. Python SQL Statistical modeling & analysis Ideal background: Solid advanced analytics skills (e.g. regression, clustering, forecasting) Strong communicator with senior stakeholders Background in Maths, Stats, Economics, or similar More ❯

Team & culture: Collaborative, cross-functional, and growth-focused. You'll work closely with product, engineering, and analytics peers in a supportive environment. Python SQL Statistical modeling & analysis Ideal background: Solid advanced analytics skills (e.g. regression, clustering, forecasting) Strong communicator with senior stakeholders Background in Maths, Stats, Economics, or similar More ❯

Team & culture: Collaborative, cross-functional, and growth-focused. You'll work closely with product, engineering, and analytics peers in a supportive environment. Python SQL Statistical modeling & analysis Ideal background: Solid advanced analytics skills (e.g. regression, clustering, forecasting) Strong communicator with senior stakeholders Background in Maths, Stats, Economics, or similar More ❯

has grown to 30+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work … statistics, or other aspects of the data science process. • Strong familiarity with programming in Python. • Strong theoretical background in and practical experience using optimization, statistical techniques, and AI/ML, preferably shown through academic publications or open-source code. • Ability to work within a team environment, and to collaborate More ❯

Focused - we accelerate change Curious - we turn knowledge into action Role Purpose The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. Working on asset revenue forecasting, power dispatch modelling … asset performance and revenue strategies. Responsibilities Knowledge Structures poorly defined problems, gathers feedback, and solves them effectively. Defines hypotheses and appropriate analysis approaches. Ensures statistical validity of results while avoiding common pitfalls. Develops deep technical expertise and emerging domain knowledge in forecasting or dispatch modelling. Provides specialist skills in … defined and repeatable tasks with limited guidance. Independently formulates new analyses and project components. Carries out independent analysis on specific areas of forecasting or modelling projects. Delivers high-quality outputs on time, recognised for accuracy and reliability. Demonstrates strong proficiency in SQL or Python for data handling. Supports data More ❯

acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation, and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform … data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales More ❯

to communicate the results of actuarial analyses to key stakeholders Requirements: PhD/Masters in a research based subject Experience of actuarial pricing or statistical modelling #J-18808-Ljbffr More ❯

presentations to communicate actuarial analysis results to stakeholders Requirements: PhD or Master’s degree in a research-based subject Experience in actuarial pricing or statistical modeling #J-18808-Ljbffr More ❯

knowledge of deploy and release services, automation, and troubleshooting. Experience of utilising tools and technology across the software development lifecycle. Experience using mathematical and statistical models to assess trends. Strong communication skills with the ability to proactively engage with a wide range of stakeholders. In-depth experience with observability More ❯

Foster team growth and prepare members for career advancement. Analyse company performance metrics to guide and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for … AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict … in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven More ❯

Master's degree and 5+ experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 5+ … communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance - Experience diving into data to discover hidden patterns and of conducting error More ❯

goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic. Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering. Drive core business analytics and data science explorations to inform key business decisions and … of hands-on experience in big data, machine learning and predictive modeling. - 3+ year people management and cross department functional experience. - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model More ❯

Join us as a Price Optimisation Full Stack Manager For someone with a background in data driven analysis and statistical or mathematical modelling, this is a valuable opportunity to help deliver price optimisation capabilities within the franchise We’ll look to you to develop processes that enable the … distribution of agreed pricing into wider bank and sourcing systems You’ll be supporting the business in using insight from our modelling suite to drive effective decision making, giving you excellent recognition and the chance to raise your profile What you'll do This key role will see you … and distribution capabilities for the franchise by leveraging all input financial, price elasticity models and business constraints. You’ll be developing and maintaining effective statistical profitability models and associated analytics, while providing actionable MI on all aspects of model performance. As well as this, you’ll be: Managing and More ❯

Health or Business Administration is at advantage At least 5 years of working experience in planning and data analytics environment Experience and knowledge of statistical modeling techniques. Proficient in 1 or more of statistical software such as Tableau, R, OBIEE, Python, SQL, H2O Flow, Flexsim, Microsoft excel (advanced More ❯

informed decision-making throughout projects. Your Skills and Experience: Ability to interpret complex datasets and present insights using Power BI and Excel. Understanding of statistical models to forecast trends and optimize performance. Experience with BI platforms for reporting and dashboard creation. Skills in planning and performance management. Process optimization … suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics, automation, and statistical modelling. Business intelligence tools for reporting and dashboard creation. Why Join Us: Repsol values diversity and believes in equal opportunities. You'll grow with More ❯

informed decision-making throughout projects. Your Skills and Experience: Ability to interpret complex datasets and present insights using Power BI and Excel. Understanding of statistical models to forecast trends and optimize performance. Experience with BI platforms for reporting and dashboard creation. Skills in planning and performance management. Process optimization … suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics, automation, and statistical modelling. Business intelligence tools for reporting and dashboard creation. Why Join Us: Repsol values diversity and believes in equal opportunities. You'll grow with More ❯

on 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 DP-600 – Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure More ❯