51 to 75 of 790 Predictive Modelling Jobs

Apply advanced Python techniques to manipulate and analyse large datasets. Design and maintain data pipelines to ensure the integrity and accessibility of critical business data. Provide actionable insights through predictive analytics and statistical modelling. Collaborate with cross-functional teams to align data science initiatives with business objectives. Communicate complex data findings in a clear, concise manner to stakeholders. Stay … proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, Large Language Models (LLMs) and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms and infrastructure. Familiarity with insurance data, risk analysis, or financial services analytics (preferred but not essential). Excellent problem-solving and communication More ❯

Collaborate with Data Engineering to ensure data quality and documentation. Communicate insights effectively to technical and non-technical stakeholders. Depending on your skills, incorporate machine learning techniques, such as predictive lifetime value modeling, into your analyses or work with Data Scientists. What We’re Looking For 2+ years’ experience in a data analytics role. Degree in Mathematics, Economics, or … and objectivity. Proactive attitude, teamwork, eagerness to learn. Nice to Haves: Knowledge of payments, e-commerce, or gambling sectors. Experience with Snowflake and/or AWS Sagemaker. Experience with predictive modeling and machine learning techniques. Benefits Flexible working hours. Option to buy or sell holidays, carry over up to 5 days. Social events, rooftop terrace views, and modern facilities. More ❯

and data-driven strategies to stay ahead in the market. **Key Responsibilities:** Utilize advanced statistical and machine learning techniques to analyze large-scale datasets and extract actionable insights. Develop predictive models and algorithms to optimize investment portfolios, assess risk exposure, and forecast market trends. Collaborate closely with cross-functional teams to ensure compliance with regulatory requirements and data privacy More ❯

regions. Your work will directly impact trading, commercial strategy, and financial performance. Responsibilities include: Analyse large datasets and KPIs to identify trends, patterns, and business opportunities. Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators. Provide actionable insights and recommendations to stakeholders across regional and cross-functional teams. Monitor and evaluate commercial initiatives to More ❯

implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI More ❯

implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI More ❯

and dashboards to communicate insights and client recommendations Automating reproducible data extracts for client delivery Develop scaled methodologies that derive meaningful recommendations from data involving: Advanced analytics Customer segmentations Predictive models Client portfolio performance measurements Data policy compliance requirements Work with VCA data scientists and consultants across Europe to support data science business development across key accounts to meet More ❯

analytical tools and outputs. Stays current on trends and technologies in data analytics and supply chain optimization. Explores emerging AI technologies and analytical techniques to identify opportunities for automation, predictive modeling, and enhanced decision support within supply chain operations; collaborates with stakeholders to pilot and implement AI-driven solutions. Knowledge, Skills, and Experience Bachelor's degree in a data More ❯

working with large-scale data. Familiar with Tableau (or quick to learn) and comfortable building data visualizations. Strong analytical toolkit: statistical methods, scenario modeling, A/B testing, or predictive modeling experience. Business-savvy and interested in learning or expanding knowledge in the travel or vacation rental space. Demonstrated experience working independently and driving analyses from ideation to executive More ❯

closely with clients to understand their business needs and translate them into tailored data science solutions.+ Apply advanced statistical and machine learning techniques to solve client-specific challenges, including predictive modeling, data analytics, and optimization.+ Guide and mentor junior data scientists and analysts, providing technical leadership and fostering professional development within the team.+ Develop and implement scalable data pipelines More ❯

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

Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track … actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, and product, to ensure data … a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to More ❯

Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross … functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics … data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau More ❯

Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross … functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics … data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau More ❯

Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross … functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics … data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau More ❯

projects. The Data Science role 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 those key projects. If you … of data science, BI and 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 principles of software engineering The More ❯

project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along with familiarity with PRISM or Primavera … and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies to … advancements in analytics tools, techniques, and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data sets More ❯

hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively … datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. More ❯

hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively … datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. More ❯

You Have: Bachelor's degree in computer science, data science, statistics, or a related field. 7+ years of experience in analytics and data reporting Experience with statistical techniques and predictive modelling using tools such as SPSS, SAS or Python Expertise in creating insightful dashboards and reports, supported by visual storytelling for executive team members How We Support You More ❯

in funding. And we're only just getting started. Who we're looking for We are looking for a highly motivated Data Scientist, who is keen on building advanced predictive models and joining our growing Core Pricing team. The mission is to build a world-class Data Science team that turns ideas and resolves complex challenges into production-grade … the ability to present complex ideas simply Right to work in the UK Nice to have (but not essential) Internship or course project involving real‐world data analysis or modelling Familiarity with cloud platforms (e.g. AWS) and version control (git) Experience with BI/visualisation tools (e.g. Looker) What's it like to work at Zego? Joining Zego is More ❯

acquisition strategies. Responsibilities Develop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, paid acquisition etc.) dashboards to monitor user growth and campaign effectiveness. Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems. Analyze data to derive actionable insights that drive business decisions and More ❯

teams to identify patterns and trends, and provide recommendations based on data analysis. The Opportunity You'll define our data strategy, user segmentation, and growth analytics. You'll build predictive models and optimization systems that drive our core business metrics. What You'll Own Pricing Architecture & Economy Balancing: Analyze and optimize our currency and prize pricing, promo offerings, etc. … and cohorts Reporting Infrastructure: Create automated dashboards for daily, weekly, and monthly KPIs Real-Time Optimization: Build systems to monitor and optimize user engagement and monetization in real-time Predictive Modeling: Develop churn prediction, lifetime value models, and user progression forecasting Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior Advanced Analytics: A/B … betting patterns Real-time analytics experience - Systems that can react to user behavior changes quickly Nice-to-Haves Experience with entertainment/pop culture analytics Machine learning experience for predictive modeling Experience scaling analytics teams What You'll Get Flexible hours and ownership over your work Direct leadership access - You'll work closely with founders and shape company direction More ❯

Apply advanced Python techniques to manipulate and analyse large datasets. Design and maintain data pipelines to ensure the integrity and accessibility of critical business data. Provide actionable insights through predictive analytics and statistical modelling. Collaborate with cross-functional teams to align data science initiatives with business objectives. Communicate complex data findings clearly to stakeholders. Stay updated with emerging AI … and Expertise Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, LLMs, and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms and infrastructure. Familiarity with insurance data, risk analysis, or financial services analytics (preferred but not essential). Excellent problem-solving and communication More ❯

and software engineers, to support project goals and deliver technical solutions. Will provide analysis of large datasets related to drug efficacy, pharmacokinetics, and other biological data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team members' work via independent programming in R Implement and optimize algorithms for processing and analyzing … other team members and across business units. Strong problem-solving skills and the ability to apply computational methods to complex biological and pharmaceutical problems. Understanding of statistical analysis and predictive modeling techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny, and related R More ❯