1 to 25 of 28 Predictive Modelling Jobs in Scotland

ready to make a real impact. Essentials Skills Data Analytics: Proficient in sourcing, transforming, and analysing large datasets to generate actionable insights. Data Science & Modelling: Experience with predictive modelling, scenario planning, and statistical techniques using Python. Data Visualisation: Skilled in tools like Power BI, Tableau, or similar More ❯

will also be responsible for managing the delivery of multiple projects across the team, acting as an internal SME data science, machine learning and modelling practice and to mentor and coach team members. The Data Analytics role will mirror these responsibilities for the data analytics and insights aspects of … analytics tools and languages, such as Tableau, SQL, R, Python In-depth experience of applying analytics/data science techniques including the use of predictive modelling, data mining and/or the analysis of large data sets Experience of Cloud-based Data and Analytics technologies Understanding of the More ❯

on Machine Learning, Statistics, Operational research or in a highly quantitative field. - 5+ years 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 More ❯

for an experienced Lead Data Scientist to join our business as we continue to scale. The Lead Data Scientist will drive the development of predictive models and data-driven decision-making for energy technology applications. They will play a key role in analysing system performance, optimizing operations, and integrating More ❯

meta-analysis, mixed-effects modeling, Bayesian methods, and variable selection techniques. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Ability to develop clear presentations for decision-making meetings. Why Novartis Helping people with diseases and More ❯

based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA or protein). Strong ability to communicate complex technical concepts More ❯

regional EMEA Leadership, local claims clusters/countries heads, and SLT. Your work will range from analyzing claims trends and KPIs to developing sophisticated predictive models and management recommendations. While basic data generation is handled offshore, advanced data interpretation and KPI trend analysis are conducted onshore, close to our More ❯

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 identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data More ❯

Strategic Insight : Collect and analyse customer and business data from CRM systems, transactional databases, surveys, and feedback platforms. Use statistical techniques, exploratory analysis, and predictive modelling to uncover trends, forecast behaviour, and identify improvement opportunities across the customer journey. Synthesise data from multiple sources (VoC, market intelligence, internal More ❯

to join their growing team and help drive data-driven decision-making across the organization. You’ll be responsible for analysing complex datasets, building predictive models, and deploying scalable data solutions using cutting-edge technologies. Responsibilities • Create, test, and implement anomaly detection algorithms and prediction models for early problem More ❯

to-end research process, from survey design to cleaning & structuring raw data, to final report delivery. Analyse large data sets, applying statistical techniques and predictive modelling to uncover patterns in consumer behaviour. Transform complex data into compelling stories that drive clear business recommendations. Build & deliver client-ready reports More ❯

systems to manage batch processing and real-time streaming of data Evaluate business needs and objectives. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Combine raw information from different sources. Manage and maintain automated tools for data More ❯

forward-thinking organisation. This strategic and hands-on role will shape AI and data engineering capabilities, delivering impactful solutions across areas like generative AI, predictive modelling, and semantic data architecture. This is a greenfield opportunity within a well establish company - you'll be joining at the ground level More ❯

inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical 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 stock and order management decisions. Create dynamic pricing models … 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, or More ❯

your education years. A strong analytical mindset with solid evidence of managing projects that drive commercial success. Knowledge in advanced marketing analytics (media mix modelling, cohort analysis, attribution models ), coding/scripting languages (Python, JS, etc), and databases (SQL, etc) Exceptional management experience, leading analytical, creative professionals to excellence. … impactful analytic projects. Willingness to travel up to 2-4 times a year for internal events. Additional Skills Of Interest Experience implementing ML generated predictive models for lead generation or customer retention purposes. What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We More ❯

forward-thinking organisation. This strategic and hands-on role will shape AI and data engineering capabilities, delivering impactful solutions across areas like generative AI, predictive modelling, and semantic data architecture. This is a greenfield opportunity within a well establish company - you'll be joining at the ground level More ❯

forward-thinking organisation. This strategic and hands-on role will shape AI and data engineering capabilities, delivering impactful solutions across areas like generative AI, predictive modelling, and semantic data architecture. This is a greenfield opportunity within a well establish company - you'll be joining at the ground level More ❯

forward-thinking organisation. This strategic and hands-on role will shape AI and data engineering capabilities, delivering impactful solutions across areas like generative AI, predictive modelling, and semantic data architecture. This is a greenfield opportunity within a well establish company - you'll be joining at the ground level More ❯

work, the drafting of technical documentation and communication with various stakeholders around M&G plc. This is a permanent position, reporting to a Risk Modelling Manager, which has a blended approach between working from home and in our Scotland or London offices. The wider Risk Modelling team is … degree, Master’s degree or PhD in a quantitative subject, e.g. mathematics, computer science, actuarial science, data science. 3+ years of experience in quantitative modelling gained within the insurance, banking or asset management industry. Good knowledge of financial markets. Good knowledge of multiple asset types. Good understanding of statistics … communication requirements. Desirable: Professional designations such as CFA, FRM, FIA/FFA would be viewed as favourable. Experience in the use and enhancement of predictive models using statistical and data science techniques, including feature engineering. Performing experience analysis and data manipulation, including the utilisation of machine learning techniques, in More ❯

work, the drafting of technical documentation and communication with various stakeholders around M&G plc. This is a permanent position, reporting to a Risk Modelling Manager, which has a blended approach between working from home and in our Scotland or London offices. The wider Risk Modelling team is … degree, Master’s degree or PhD in a quantitative subject, e.g. mathematics, computer science, actuarial science, data science. 3+ years of experience in quantitative modelling gained within the insurance, banking or asset management industry. Good knowledge of financial markets. Good knowledge of multiple asset types. Good understanding of statistics … communication requirements. Desirable: Professional designations such as CFA, FRM, FIA/FFA would be viewed as favourable. Experience in the use and enhancement of predictive models using statistical and data science techniques, including feature engineering. Performing experience analysis and data manipulation, including the utilisation of machine learning techniques, in More ❯

make an impact ? We’re looking for a strategic and hands-on leader to shape the way our organisation leverages data and AI—from predictive models that drive real outcomes to scalable pipelines that power decision-making across the business. This is your chance to take the lead in … come together. 🚀 What You’ll Be Doing ✅ Design and deliver scalable data architecture , pipelines, and semantic models ✅ Build and deploy production-grade AI solutions (predictive & generative) ✅ Champion automation-first engineering and modern DataOps/MLOps practices ✅ Lead the development of AI & data products tied to measurable business outcomes ✅ Manage More ❯

a quantitative discipline. Strong programming skills in R and Python. A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs. Ability to communicate effectively with a wide range of stakeholders and build strong business relationships as a … tuning transformer-based AI models. Experience of managing the demands and various stakeholders within a highly matrixed business environment. Ability to build/maintain predictive models and explain model processes/outputs. Desirable PHD level qualification or equivalent Sound like the role you have been looking for? The apply More ❯

to demonstrate include: Strong programming skills in R and Python. A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs. Ability to communicate effectively with a wide range of stakeholders and build strong business relationships as a … tuning transformer-based AI models. Experience of managing the demands and various stakeholders within a highly matrixed business environment. Ability to build/maintain predictive models and explain model processes/outputs. PHD level qualification or equivalent Sound like the role you have been looking for? The apply today More ❯

to demonstrate include: Strong programming skills in R and Python. A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs. Ability to communicate effectively with a wide range of stakeholders and build strong business relationships as a … tuning transformer-based AI models. Experience of managing the demands and various stakeholders within a highly matrixed business environment. Ability to build/maintain predictive models and explain model processes/outputs. PHD level qualification or equivalent Sound like the role you have been looking for? The apply today More ❯

are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end … operate primarily in an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction More ❯