51 to 75 of 93 Predictive Modelling Jobs

challenges building proprietary software that makes a difference in the world. You will design, develop and maintain innovative tools spanning data management, traceability, visualisation, predictive modelling, material and component design, and production quality assurance. You'll work closely with process engineers, technicians and material scientists to deliver high ...

enhancing real-time market data infrastructure supporting research and trading systems Building scalable platforms that enable quantitative researchers to develop, validate, and deploy predictive models Creating simulation and backtesting environments capable of supporting large-scale experimentation Developing research tooling and frameworks that improve productivity across quantitative teams Engineering reliable ...

Assists in exploring new data sources, research, and models under direction from senior team members. Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project … Assists in exploring new data sources, research, and models under direction from senior team members. Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project ...

role: We are seeking an experienced Senior Data Scientist to develop and deploy predictive analytics and machine learning solutions that deliver measurable business value. This role combines hands-on data science, data engineering, and model deployment, working across the full lifecycle from data acquisition and preparation through to production … implementation and monitoring. The ideal candidate will have strong commercial experience building predictive models, working with large datasets, and delivering scalable, production-ready solutions. Exposure to modern AI technologies, including LLMs, is desirable. Responsibilities: Design, build, and deploy predictive and machine learning models. Analyse complex datasets to generate ...

data. Build data visualizations including dashboards and reports. Document data profiling and quality assurance results, data dictionaries and analytical findings. Use data to create predictive models and trend analysis. Collaborate with colleagues for the purpose of collecting and structuring data. Collect, audit, compile, and validate data from multiple sources. … Power Apps, MS Excel, Python, and SQL. Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models.: Preferred Experience: Preferred: Experience with cloud computing/storage, data lakes/warehouses. Preferred: Experience with Spark ...

identifying new market opportunities, using insight, analytics, and technology to drive commercial success. Key areas of responsibility include: Revenue Intelligence & Forecasting Build and manage predictive revenue models (pipeline, churn, expansion) Improve forecasting accuracy across commercial functions Turn complex commercial data into actionable leadership insights Growth & Market Intelligence Identify … love to hear from candidates with experience in: New business development and account growth SaaS, data, technology, analytics, or commercial insurance environments Predictive modelling, AI-driven insights, or commercial forecasting Translating technical concepts into compelling customer outcomes Influencing senior stakeholders, including C-suite audiences Experience with data platforms ...

need to thrive in your first data and AI role. The training covers the following modules: AI & Data Essentials Insight Analytics Programmatic Data Wrangling Predictive Modelling Advanced AI Topics Consultancy Skills Graduation As part of your graduation from the Academy, you'll achieve two industry-recognised certifications . ...

closely with product, engineering, analytics and business teams Current environment: • Databricks • Customer-facing product platform • NLP model processing structured and unstructured data • Ensemble-based predictive model forecasting performance and longevity outcomes We're looking for someone with: • Strong NLP and supervised machine learning experience • Experience managing production-grade ...

program coordination, data evaluation, and reporting Interpretation of lithologic, hydrologic testing, depth-specific water quality, and borehole geophysical data Designing and interpreting results of predictive modeling runs and supporting model updates Evaluating and filling hydrogeologic data gaps Developing hydrogeologic conceptual models Developing water budgets Designing and managing field investigations ...

intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth. Key Responsibilities Market Opportunity & Revenue Modelling Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments Analyse customer and market data to uncover untapped … customer segmentation frameworks to enhance targeting and campaign effectiveness Partner with commercial teams to optimise go-to-market strategies and sales performance Data Science & Modelling Design, develop, and iterate on predictive models that drive measurable business impact Apply statistical and machine learning techniques to large, complex datasets Ensure ...

site each month. however, remote options will be considered for the right candidate. What you can expect from the Role Advanced Analytics and Modelling Develop predictive models (e.g. customer lifetime value, propensity, response modelling) Apply segmentation and clustering techniques to refine customer targeting Build attribution and measurement … Collaboration & Capability Building Act as a technical expert within the analytics team, supporting analysts and stakeholders Promote best practice in statistical methods, experimentation and modelling Contribute to building a data-driven culture across the business What we expect from you Proven experience in Data Science, Advanced Analytics or similar ...

reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Run statistical analytics and predictive models to identify new areas to improve or target; work closely with marketing management to measure our testing program. The Day-to-Day: Oversee assigned complex ...

reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Run statistical analytics and predictive models to identify new areas to improve or target; work closely with marketing management to measure our testing program. The Day-to-Day: Oversee assigned complex ...

just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling. This is a brilliant opportunity to work on high-impact data products , combining advanced analytics, business understanding, and client-facing delivery in a collaborative … within the Data Science team , working closely with Product Managers, Data Analysts, and subject-matter experts. This is a hands-on modelling role with strong client interaction , where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking. What you'll be doing Build ...

role in shaping data-driven commercial strategy across their Education business. This is a highly impactful opportunity focused on building sophisticated market intelligence and predictive analytics models that directly influence go-to-market strategy, customer growth and long-term revenue planning. The role sits within a cross-functional environment … dynamics, including subscription models, institutional procurement structures and consortium purchasing behaviours. Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs. Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies. Deliver strategic insights and market opportunity analysis ...

business problems Analyse large datasets to generate actionable insights Collaborate with stakeholders across technical and non-technical teams Build and maintain data pipelines and predictive models Present findings clearly to support strategic decisions Key Requirements Proven experience working as a Data Scientist within the public sector Strong expertise … machine learning techniques Proficiency in Python/R and relevant data science libraries Experience with data manipulation, modelling, and visualisation Strong communication skills and ability to translate data into insights Desirable Experience with cloud platforms (e.g. Azure, AWS, GCP) Knowledge of data governance and compliance in public sector environments ...

Support the transition of advanced analytics and data science capabilities from pilot to production and maintain them in the production environment Develop descriptive and predictive models for survey efforts, including time series, anomaly detection, semi-supervised, active, and reinforcement learning frameworks Conduct data cleaning, filtering, transformation, and feature engineering … associated data science libraries and tools Demonstrated experience developing and operationalizing ML, deep learning, NLP, and generative AI/LLM models Strong background in predictive modeling, time series analysis, anomaly detection, and feature engineering Experience creating and using synthetic data and privacy-preserving data techniques Working knowledge ...

Inside IR35 | Hybrid (1 day per week London) We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments. This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations … emerging threats, quantify risk exposure, and make informed, evidence-based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real-world, high-impact outcomes. Key responsibilities: Design and develop advanced risk models, including predictive, probabilistic, and scenario-based modelling ...

data pipelines, incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. You will also combine EDU rSAM outputs with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Ultimately, you will deliver high-impact strategic insights on market sizing and customer propensity … record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python skills for data manipulation, statistical analysis, and predictive modelling. Proven experience developing, validating, and optimising data science models that directly drive revenue growth and commercial performance. Experience with propensity modelling ...

Design, configure, and optimize decision strategies within Pega Customer Decision Hub (CDH) across eligibility, applicability, arbitration, and engagement policies. * Develop and enhance adaptive models, predictive models, and next-best-action frameworks to drive personalized customer experiences. * Partner with business SMEs to translate customer engagement goals into robust, Real Time ...

sector organisations to extract high-value insights through advanced scientific methodologies. We are seeking Senior Consultants who can bridge the gap between complex mathematical modelling and strategic business outcomes, with a specific focus on the emerging frontier of Agentic and Generative AI. The Mandate: Agentic AI & Advanced Analytic sThis … beyond standard analytics to implement Agentic AI solutions that automate complex reasoning and decision-making tasks. The mandate requires a deep understanding of statistical modelling, natural language processing (NLP), and time-series analysis, combined with the ability to demonstrate the tangible business value of AI to senior stakeholders. Candidates ...

drive measurable impact. The Role Deliver data science within a pricing-focused environment, influencing rates, tariffs and overall market competitiveness Design, build and refine predictive models to better understand risk, customer behaviour and price sensitivity Identify and integrate new data sources to improve pricing accuracy and decision making … simulation and modelling techniques to estimate outcomes such as claim frequency and customer responses to price changes Translate complex analysis into clear, commercially focused recommendations for senior stakeholders Your Skills & Experience A strong academic background and Masters degree in a STEM discipline such as mathematics or physics Advanced analytical ...

Analytics Hub function and areas that feed into the team. We would like you to bring in experience of using techniques such as regression modelling, significance testing, forecasting and multivariate analysis to uncover significant patterns in sophisticated data. Develop, compose, implement and evaluate hypothesis-driven experiments, using frameworks … customer behaviour, operational performance and product outcomes. We believe a key part of your impact will come from your ability to take analytical or predictive models through to production ensuring they're robust, scalable and usable in real-world decision-making. We will need you to translate sophisticated findings ...

operational practices for deploying, monitoring, and maintaining LLMs in production environments Data science and model development: Ability to build, evaluate, and deploy bespoke predictive models where off-the-shelf AI approaches are insufficient, with practical experience in model training, feature engineering, and evaluation Python: Clean, production-quality code under … reliability Data pipelines: Comfortable building and maintaining ETL/ELT pipelines connecting messy source systems to AI applications SQL: Solid querying and data modelling skills AI model management: MLFlow, Hugging Face, or equivalent Nice to have Experience with time-series modelling, anomaly detection, or forecasting in operational ...

flows, single source of truth, field controls, and data accuracy and completeness. Align curated datasets to use cases in pricing, staffing, growth, benchmarking, and predictive modeling. Anticipate downstream modeling needs and proactively shape data structures. Evaluate the usefulness and signal strength of emerging internal and external data sources, including … generated billing analysis, time-entry efficiency data, predictive pricing signals, market intelligence feeds, and other relevant data sources. Evaluate quality and fit by, where appropriate, bringing data into sandbox environments to actively understand and challenge what's available from third parties. Assess scalability, governance implications, business value ...