76 to 100 of 196 Predictive Modelling Jobs

Mix Models, Fractional Attribution) Experience working at media agency, media publisher or MarTech/AdTech company Experience in a client-facing role Understanding of predictive modeling techniques Additional Information About Epsilon Epsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe. Epsilon accelerates more »

third party customers. Job Summary • As Data Scientist you will use statistical techniques and machine learning algorithms to analyse data and extract insights. Building predictive models and algorithms to solve specific business problems or optimise processes. Presenting findings and insights to stakeholders through clear and effective visualisations. Working with … Analysis: Gathering and preparing data for analysis, ensuring its quality and integrity. Gathering and preparing data for analysis, ensuring it quality and integrity. Building predictive models and algorithms to solve specific business problems or optimise processes. • Data visualisation: Presenting findings and insights to stakeholders through clear and effective visualisations. … and modelling. • Adept understanding of statistical methods and techniques for analysing data distributions, correlations, and trends. • Knowledge of machine learning algorithms and techniques for predictive modelling, classification, regression, clustering, and natural language processing. • Ability to create clear and effective visualisations using tools like PowerBI or Tableau to communicate more »

studio in new ways to capture, store, manipulate and analyse data for their clients. The Data Scientist will interpret complex data set to create predictive models and make data-driven decisions. A commercial background in Data science with strong SQL and Python/R skills is essential. REQUIREMENTS: Minimum … 4+ years Data Sciences Experience Strong SQL/T-SQL/U-SQL/KQL and Python/R skills Experience creating predictive models Strong knowledge of ML solutions Experience working with large data sets and loves to work with data Strong communication skills ( strong command of the English more »

/or other intellectual property (IP) Executes statistical and mathematical analyses to support business decision making. Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Applies analytical rigor and statistical methods to analyze large … amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining. Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics. Develops materials to explain project findings. more »

largest private healthcare providers. As a start-up with Series A funding, their team of fewer than 50 dedicated professionals focuses on advanced analytics, predictive modelling, and the development of cutting-edge solutions to revolutionise the healthcare industry. Their mission is to leverage AI to improve health outcomes … of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and creatively. Experience in the healthcare industry is highly more »

to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate more »

to have a major say and influence on projects. Key Responsibilities: Data Analysis & Modeling: Analyse large, complex datasets to extract actionable insights and build predictive models to optimise energy production, distribution, and consumption. Algorithm Development: Develop and implement advanced machine learning algorithms to forecast energy demand, improve grid reliability more »

Hush to develop, maintain and draw insights from business intelligence solutions consisting of Google Big Query (Data warehouse), Domo (Visualisations), Snaplogic (ELT), and DBT (Modelling). Reporting into our Head of Technology, playing a critical role in our small Data Engineering team of 2, you’ll have the opportunity … Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour, including sales trends, churn prediction, and lifetime … value projections. Utilise techniques like customer lifetime value (CLV) modelling and cohort analysis to provide a comprehensive view of customer behaviour. Champion a data-driven culture. THE PERSON Strong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data activity progress. more »

functionally to enable data-driven decision-making. Key Responsibilities - Champion data-driven decision-making agency-wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like Google BigQuery - Create compelling data visualizations - Communicate insights to stakeholders - Develop more »

diverse business challenges. Responsibilities: Dive into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data more »

their development and coaching them to success. Key Responsibilities: Manage, develop, and coach Pricing Analysts and Senior Pricing Analysts. Develop, validate, review, and approve predictive and machine learning models. Deliver accurate datasets for modelling, pricing, and monitoring. Maintain pricing models and support their deployment. Conduct pricing analyses and … stakeholders. Manage the implementation of rate releases and review rates in live environments. Provide insights into current and future pricing performance using MI and modelling results. Coordinate pricing decisions and implementation across teams and decision-making bodies. Inform and influence senior management and heads of departments. Qualifications: Degree in … discipline or equivalent. Experience in insurance pricing or related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like Logistic Regression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication skills to convey statistical concepts to more »

successful when applying for this role you will need: with owning the data visualisation platform within Tableau experience in data mining, statistical analysis and predictive modelling experience using SQL to DBT, big query or other cloud data warehouses worked cross-functionally with a wide range of data teams more »

teams to ensure alignment with overall business strategy. Model Development: Development and enhancement of credit structuring models. Utilise quantitative and qualitative data to build predictive models that assess credit risk and inform decision-making. Stay abreast of industry best practices and technological advancements to continuously improve underwriting models. Pricing more »

the economy. Collaborate with product owners, marketing managers, UX/UI designers, analytics teams, data scientists, and development teams. Build and analyze simulations and predictive models to proactively forecast the results of changes to content. Requirements 4+ years’ experience in game economy design Bachelor’s Degree in Economics, Mathematics more »

inspire the team of 13 Insight and Analytical professionals. Responsibilities Promote best practice methodologies and new approaches to data analytics and research techniques. Develop predictive modelling for customer data-driven personalisation of communications and experience delivery. Develop segmentation and understand what Motability Operations’ customers truly value. Set the more »

Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and risk. About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science group. Responsibilities Building and testing … support of existing and new customer sales Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes Providing technical support and be a resource to internal partners in Product, Sales more »

requirements: Experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science … Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. Desirable: Experience in a similar industry with limited capacity and variable demand. Ability to autonomously tackle complex problems with a solution-driven approach. more »

role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical analyses to more »

years of people leadership experience in building, managing and/or developing high-performing teams required. Credentialed Casualty Actuary; FCAS required. Experience in predictive modeling, bridging pricing to analytics. Strong communication skills with the ability to present business solutions in a clear and concise manner to technical and non more »

years of people leadership experience in building, managing and/or developing high-performing teams required. Credentialed Casualty Actuary; FCAS required. Experience in predictive modeling, bridging pricing to analytics. Strong communication skills with the ability to present business solutions in a clear and concise manner to technical and non more »

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 more »

natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive more »

growth and performance. Providingbusiness-wide data driven people insight, including conclusions and recommendations, to inform strategy and action. Supportingthe delivery of strategic workforce planning, modelling and forecasting, aligning business plans with capability needs, identifying workforce gaps and predicting future impacts. Help to build plans to mitigate risk to future … growth. Driving insights capability development, developing advanced and predictive analytics capability and building insights capability in HR. Working with HR Systems and Operations to develop and implement people data strategy, and ensure appropriate data governance, compliance and integrity controls are in place. Leading the Workforce Planning & Insights team. Qualifications … practical application of data analytics, visualisation and reporting using various tools. Experience in PowerBI and Alteryx is desirable First-hand knowledge and application of predictive modelling and statistical methods (such as R or Python) is desirable. Broad and deep technical understanding of different analytics, tools and metrics and more »

person A third level degree and significant experience in data science Strong skills in python, SQL, R Experienced building machine learning models, and releasing predictive models to production Experienced in solving business problems with data led solutions The salary for this role is up to £90,000, plus bonus more »

team intend for the role to become permanent. ROLE AND RESPONSIBILITIES Working closely within a team, to design and build models across forecasting and predictive modelling with large-scale healthcare datasets You will collaborate closely with Engineers, software developers, and business leaders to define precise product requirements, offer more »