51 to 75 of 324 Permanent Predictive Modelling Jobs

small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written and verbal communication skills, with the ability to present findings More ❯

Visualize data and present findings to stakeholders through reports, dashboards, and presentations. Stay up-to-date with the latest trends and technologies in data science and machine learning. Develop predictive models and algorithms to support decision-making. Document methodologies, models, and processes for future reference and continuous improvement. ELIGIBILITY & QUALIFICATIONS: Master's degree in data science, Statistics, Computer Science More ❯

insights within their workflow Conduct regular analysis of workforce trends, including employee engagement, performance metrics, and recruitment funnel metrics Lead workforce planning efforts by analyzing historical data and creating predictive models for future staffing needs Design and implement data collection methodologies to capture relevant HR metrics across various sources Build and maintain documentation for reporting processes, metrics definitions, and More ❯

/B tests, delivering insights on user behavior, optimizing customer journeys, or building new tools to help improve user experience with the Product teams (New metrics, new user segmentation, predictive models, ). This position will be highly rewarding and lots of fun. Training and development opportunities will abound in this position, and high-performing individuals will find a long More ❯

/B tests, delivering insights on user behavior, optimizing customer journeys, or building new tools to help improve user experience with the Product teams (new metrics, new user segmentation, predictive models). This position will be highly rewarding and lots of fun. Training and development opportunities will abound in this position, and high-performing individuals will find a long More ❯

AI - Perform data exploration, feature engineering, and model optimisation - Apply supervised, unsupervised, and reinforcement learning algorithms - Conduct large-scale data analysis across structured and unstructured sources - Develop statistical and predictive models to drive business insights - Productionise models and monitor performance, identifying drift and retraining needs - Integrate AI/ML solutions into wider business systems and applications - Create robust documentation … AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau) Desirable: - Exposure to cloud platforms (AWS, GCP, Azure) and big data tools More ❯

degree or experience in a quantitative field (Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop More ❯

data integration platforms, and automated risk management solutions for prestigious asset management firms. Public Sector: We're trusted by multiple UK government departments and public sector organisations to deliver predictive maintenance systems, supply chain optimisation, and process automation. SaaS, Manufacturing & More : From innovative SaaS providers to global manufacturing leaders, our cross-industry expertise ensures we bring diverse perspectives to … data into actionable insights that drive remarkable results for our clients. Why You'll Love QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers.Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as … real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and predictive maintenance pipelines for government departments. Build Solutions That Scale: Your analytics engineering will power data products used by millions of customers, from recommendation engines for major retailers to fraud detection systems for financial institutions. Shape Technical Standards: As a growing consultancy, you More ❯

improvements across all departments performance. You'll partner with cross-functional teams, challenge the status quo and make high-impact recommendations. With your mastery of SQL, Python and advanced modelling, you won't just support decisions - you'll lead them. We believe great work happens through collaboration, not competition. You foster a culture of curiosity, respect, and shared success … Translate complex analyses into strategic recommendations that drive operational and commercial impact. Solve Business Problems with Data: Use a variety of analytical methods ranging from exploratory data analysis to predictive modelling to solve real-world business problems. Launch and report on various of A/B tests running across all business functions. Communicate Insights Effectively: Craft clear, compelling More ❯

cloud infrastructure e.g. AWS, OCI Experience of Power BI and management of semantic models Understanding of Quality Engineering processes including data reconciliation and data quality validation Knowledge of data modelling techniques Knowledge of designing and developing shared data products Experience with advanced analytics techniques, such as predictive modelling, Mathematical prediction, and data mining. Understanding of machine learning More ❯

datasets to extract actionable insights and trends. Support the design and automation of data pipelines, dashboards, and reporting tools. Assist with the development of testing frameworks, audience segmentation, or predictive models. Translate complex data into clear visualisations and narratives for non-technical stakeholders. Collaborate with strategists, media planners, and creatives to embed insight into campaign development and delivery. What … skills, you enjoy explaining things clearly and collaborating across disciplines. This is a unique opportunity to explore multiple entry points into data, whether you're drawn to insights, coding, modelling, or storytelling. You'll get support, mentorship, and exposure to live projects from day one. Apply Now You can apply for this role now by sending us your CV More ❯

environment, we would love to hear from you. Core responsibilities Customer insights: Interpret and analyse dashboards to identify key trends, opportunities, and risks across the business. Customer behaviour analysis & modelling: Conduct deep dive analyses on customer behaviour, including geo-demographics, transactional data, and time of day. Investigate drivers of retention and develop predictive models to inform improvements. Segmentation More ❯

with power BI - creating and publishing dashboards, data transformation and visual conformity. Advanced excel skills - proficiency with functions, look up, index match, pivot tables and visualisations Data science and predictive modelling - Skills in using techniques to model past data for future predictions and understanding drivers of trends and patterns is preferable Strong verbal and written communication skills. Ability More ❯

Key responsibilities: Deliver high-quality analytics and insights to support strategic initiatives and operational performance Develop and maintain dashboards, reports and visualisations to communicate key trends and findings Conduct predictive modelling and scenario analysis to inform long-term business planning Act as a trusted data partner for business leaders, translating data into actionable recommendations Champion data integrity, governance More ❯

Key responsibilities: Deliver high-quality analytics and insights to support strategic initiatives and operational performance Develop and maintain dashboards, reports and visualisations to communicate key trends and findings Conduct predictive modelling and scenario analysis to inform long-term business planning Act as a trusted data partner for business leaders, translating data into actionable recommendations Champion data integrity, governance More ❯

degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop More ❯

MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role More ❯

MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role More ❯

mapping tools and data visualization software (e.g. Tableau, Power BI) • Understanding of commercial regulation, sanctions, and foreign trade policies • Familiarity with advanced analytics concepts (machine learning, social network analysis, predictive modeling) Why Join Us? Osaava Services is a rapidly growing SDVOSB specializing in cyber defense, intelligence solutions, and data-driven analysis supporting national security missions. You will work in More ❯

A MS in CS focused 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 language (E.g. Python) used in More ❯

A MS in CS focused 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 language (E.g. Python) used in More ❯

A MS in CS focused 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 language (E.g. Python) used in More ❯

advanced analytics applied to large-scale data-intensive projects. Req Skills and Abilities: Demonstrated experience with advanced statistical packages and software. Demonstrated experience building and applying machine learning/predictive modeling in real-world use cases. Strong modeling and data manipulation skills. Strong written and verbal communication skills. Strong programming capability; ability to solve problems through programming and simulation. More ❯

About the Role: Grade Level (for internal use): 12 Director, Revenue Impact Modelling & Performance Analytics The Team: Part of the Enterprise Marketing Strategy and Demand Generation Center of Excellence, this is a key role within the newly integrated Revenue Operations, Performance Analytics, and Martech pillar. As part of S&P Global's enterprise marketing transformation, this role ensures that … forecasted, visualized, and optimized. Responsibilities and Impact: Revenue Attribution & Impact Modeling: Design and operationalize attribution frameworks that connect marketing activity to pipeline and revenue across touchpoints. Build and maintain predictive models to forecast marketing-influenced revenue, campaign lift, and investment ROI. Partner with Sales Operations and Finance to validate impact models, align on assumptions, and reconcile with GTM definitions. … stakeholders. Work closely with the Marketing Data Visualization & Reporting lead to develop dashboards and visualization layers. Partner with Customer Data Intelligence and CDP/Target teams to align audience modelling with performance insight. Collaborate closely with the Marketing Data Enablement team to ensure clean, structured data pipelines and with Corporate Technology to align infrastructure, tooling, and integration strategies. Create More ❯

dynamic (Power BI) dashboards that provide clear, actionable insights into workforce metrics and financial performance. Your expertise will directly influence workforce strategy by enabling accurate forecasting, cost analysis, and predictive analytics. KEY RESPONSIBILITIES: Advanced Data Analytics & Reporting Extract, clean, transform, and integrate large datasets from internal HR systems (e.g., SAP SuccessFactors), finance platforms, and external labour market sources to … automation, macros, and complex formulas to complement data workflows. Perform deep-dive analyses to identify trends, anomalies, and opportunities in workforce supply, demand, cost drivers, and financial performance. Implement predictive analytics models to forecast workforce needs, turnover risks, skill gaps, and financial impacts. Translate complex data findings into clear, concise insights and recommendations tailored for both technical and business … Integration Collaborate closely with Finance, HR and Strategic Workforce Planning teams to align workforce data analytics with budgeting, headcount, and cost management processes. Support labour cost forecasting and scenario modelling by integrating workforce metrics with financial data. Provide analytical support for workforce-related business cases, cost optimization initiatives, and strategic planning. Monitor key financial KPIs and workforce performance indicators More ❯