326 to 350 of 756 Permanent Predictive Modelling Jobs

join a team of experienced and supportive colleagues. This role will be based in our London office. Your new role In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you’ll be responsible for … decision-making Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth Collaborate with analyst team to build, monitor, and refresh predictive models as needed Design and enhance analytics that drive business insights and decisions Ensure models meet regulatory standards and are well documented Present findings clearly and confidently to different … all kinds of backgrounds. You work well with others, think creatively, and enjoy helping bring new ideas to life. Skills you'll need: Expert in Python for data analysis, modelling, and building solutions Familiarity with working in a Linux environment Strong understanding of machine learning and data science Good experience in MS SQL Server Management Studio, MS Office, Power More ❯

D2C markets, providing food solutions to institutions and individuals. With over 30 years of experience and a presence in 400 markets, it leverages data-driven insights, forensic analytics, and predictive modelling to enhance business performance. The Role The team is responsible for making data reliable, consistent, persistent, and available for analysts through self-service platforms such as Tableau More ❯

Working with the wider data team to improve tooling, mentor junior analysts, and promote a culture of self-service and data fluency. Applying advanced analytics and exploratory techniques from predictive modelling and segmentation to A/B testing and optimisation to drive measurable business impact What we need from you: Proven experience in a senior analytical role, ideally … stakeholder communication; you're confident working cross-functionally and influencing at senior levels. Not essential but highly preferable: Exposure to data science workflows: supervised/unsupervised learning, time-series modelling, or similar. What's in it for you: Grow with Goodlord : your development is important to us, that's why we are Great Place to Work - certified . Have More ❯

Working with the wider data team to improve tooling, mentor junior analysts, and promote a culture of self-service and data fluency. Applying advanced analytics and exploratory techniques from predictive modelling and segmentation to A/B testing and optimisation to drive measurable business impact.. What we need from you: Proven experience in a senior analytical role, ideally … stakeholder communication; you’re confident working cross-functionally and influencing at senior levels. Not essential but highly preferable: Exposure to data science workflows: supervised/unsupervised learning, time-series modelling, or similar. What's in it for you: Grow with Goodlord : your development is important to us, that’s why we are Great Place to Work - certified . Have More ❯

closely with our existing data and engineering teams to build on what’s already in place Digging into user journeys, customer behaviour, marketing performance, and commercial data Developing segmentation, predictive models, and other approaches to surface meaningful insights Running experiments and testing ideas to see what actually works Supporting teams across the business to make decisions based on data … right ones to ask Bonus Points For Experience with A/B testing and experimentation Familiarity with tools like Google Analytics, Mixpanel, or CRM platforms Exposure to forecasting or modelling customer lifetime value Why This Role? You’ll get to work in a business that’s ready to do more with its data – and wants your help to shape More ❯

that drive media efficiency Demonstrate a questioning mindset, research and apply a wide range of data science methodologies. Able to identify and resolve data issues Use Python to create predictive models - analyse wide range of data and build trends and behavioural predictions Work closely with business (Product Team and Stakeholders) to translate business requests, questions and concerns into successful … deliver technical products and data solutions Understanding of Media Planning, preferably within AdTech Experience of working in large global enterprises in delivering data-driven solutions Experience with agent-based modelling solutions Choreograph is WPP's global data products and technology company fueling growth for the world's most admired brands. Discover more about Choreograph at (Please note this is More ❯

multiple Decision Trees that will predict the best model. And finally based on the root mean square error(RMSE), it will aggregate the best model or choose the best predictive model. In Random Forest Process, we have some base learner models like M1, M2, M3 .. Mn . These base learner model are called Decision Trees . Each decision … type as compute cluster Select Azure ML compute cluster compute1 (if not pre built , you need to create new one) Click on Next Now, we need to provide the modelling technique or algorithm on which our model work. In dataset we have Y column which consists of continuous numerical values so we will select Regression here Click on Next More ❯

and performance Strategy Optimisation: Conduct impact assessments on credit strategies and recommend enhancements to improve decision-making Cross-functional Collaboration: Partner with Product, Engineering, and Data Science to develop predictive models, build product features, and refine risk processes Collections Strategy: Support collections and recovery initiatives with data-backed insights and strategy development Requirements Proven experience in decision science, credit … risk analytics, data modelling and AI, ideally within financial services or fintech Strong understanding of risk disciplines including unit profitability evaluation, pricing, risk appetite setting, and credit policy design Experience with B2B/SME lending is highly desirable, though not essential Demonstrated ability to influence and collaborate with cross-functional teams and senior stakeholders Strong leadership and people management More ❯

and drive growth. Develop strategies leveraging data science for decision-making in investment, trading, and other quantitative domains, aligning with clients' business goals. Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. Strengthen client relationships to sustain Accenture's profile as a trusted advisor and partner. Support … ve worked in commodity marketing and trading. You have strong quantitative skills, including familiarity with Excel/VBA , R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work in the forefront of the commodity trading industry, working hand-in-hand with executives on More ❯

in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies. Knowledge of wider data warehousing, data architecture of data modelling concepts. Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production. Working knowledge of CI/CD practices. Tech Stack (Nice-to-Haves): Experience … play for this role Experience working with CI/CD pipelines through Github Experience working in a large data transformation/migration Knowledge of advanced analytics techniques, such as predictive modeling and machine learning Experience taking ML solutions into production, and exposure to data storage and processing within one of the three major cloud providers (GCP, Azure or AWS More ❯

in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies. Knowledge of wider data warehousing, data architecture of data modelling concepts. Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production. Working knowledge of CI/CD practices. Tech Stack (Nice-to-Haves): Experience … play for this role Experience working with CI/CD pipelines through Github Experience working in a large data transformation/migration Knowledge of advanced analytics techniques, such as predictive modeling and machine learning Experience taking ML solutions into production, and exposure to data storage and processing within one of the three major cloud providers (GCP, Azure or AWS More ❯

you if you... Have a broad of understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies Are skilled in one of reinforcement learning, predictive modelling (classification and regression) and have a solid understanding of recommendation systems Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have More ❯

lending; fintech experience is a strong plus. At least 12 months’ experience managing or mentoring analysts, with a track record of leading high-performing teams. Proven ability to build predictive models and extract insights from large, complex datasets. Advanced proficiency in Python and SQL, including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Skilled in developing and deploying … credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian modelling (e.g., PyMC3) is a plus. Strong communication skills, with the ability to convey complex analysis to both technical and non-technical stakeholders. Strong commercial instincts. Familiarity with the German lending market or language is helpful but not essential. The salary More ❯

and behaviour change. Data Analysis & 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 analytics) to provide a More ❯

the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting-edge environment. As a Pricing … Looking For Strong expertise in Python and SQL for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. Hands-on experience in automating and deploying machine learning models. Proven ability to translate complex data into actionable pricing insights. Excellent problem-solving skills and More ❯

the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting-edge environment. As a Pricing … Looking For Strong expertise in Python and SQL for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. Hands-on experience in automating and deploying machine learning models. Proven ability to translate complex data into actionable pricing insights. Excellent problem-solving skills and More ❯

the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting-edge environment. As a Pricing … Looking For Strong expertise in Python and SQL for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. Hands-on experience in automating and deploying machine learning models. Proven ability to translate complex data into actionable pricing insights. Excellent problem-solving skills and More ❯

data. Your work will support and augment discretionary portfolio managers’ trading strategies and ideas, and help drive investment decisions. You will also work alongside quantitative researchers and help build predictive models from alternative data for systematic strategies. Responsibilities Generate insights and identify trends from alternative datasets; Project key performance indicators (KPIs) for various public companies in the healthcare, consumer … or industrial sectors; Work with other data scientists and quantitative researchers to identify and develop features useful for building predictive models; Present research to portfolio managers, investment teams, and other internal users; Stay abreast of alternative data developments and identify potential new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data More ❯

and data-driven strategies to address challenges in credit risk, fraud detection, and customer intelligence. You will report to the Southern Europe Analytics Director. Your Responsibilities Develop and validate predictive models using advanced statistical and machine learning techniques. Translate complex data into relevant insights and communicate them effectively to clients and team members. Collaborate with teams to understand needs … of inclusion and growth. Experience and Skills At least 2 years of experience in data science related to credit risk, fraud analytics, or marketing analytics. Background in machine learning, predictive modeling, and statistical analysis. Proficiency with tools such as Python, R, SAS, or SPSS. Experience with cloud-based platforms like Databricks, Cloudera, or Snowflake. Fluent in English (written and More ❯

complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or … establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda More ❯

collection improvements. You’ll help drive the maturity of the Data Science & Analytics sub team by setting the foundation needed to move our analysis capabilities from descriptive & diagnostic to predictive & prescriptive. Your day to day tasks, should you choose to accept this mission ... Solve problems adaptively and value rigour and simplicity over complicated solutions Make appropriate trade-offs … usable scripts and utilities that brings data science as a discipline to the next level Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML) Code for privacy & security, keeping our users and patients privacy and security in mind all the time and suggesting processes and technologies for anonymisation Work closely More ❯

scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position More ❯

scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position More ❯

a high-performing data science team; provide technical mentorship and guidance. Collaborate with engineering to ensure smooth integration of AI models into production systems. Drive the use of NLP, predictive modeling, and generative AI where applicable to improve operational efficiency and innovation. KeyRequirements: 6+ years of experience in data science, with at least 2 years in a lead or More ❯

and clean large volumes of structured and unstructured data from various sources. Apply statistical, machine learning and traditional and generative AI techniques to analyse data, identify patterns, and develop predictive models. Create visual representations of data to communicate insights and findings to non-technical stakeholders. Interpret data analysis results to provide actionable insights and recommendations for business decisions. Work More ❯