to-end data science projects from problem formulation to implementation and deployment. You'll communicate effectively with stakeholders and form strong business relationships, leveraging predictivemodelling, segmentation techniques and AI algorithms to unlock valuable insights.ResponsibilitiesSpearhead projects with cross functional leadersUse models like regression and propensity models, time-series more »
s degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)Experience with applied Neural Networks (CNN & RNN), LLMsDeep understanding of predictivemodelling, machine-learning, clustering and classification techniques, NLP and algorithmsFluency in a programming language (Python, C,C++, Java, SQL)Experience Managing/leading more »
markets.Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management.Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights.Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance and algorithmic trading.Qualifications:Bachelor's degree or higher more »
needs into impactful AI solutions, guide project execution, and mentor junior data scientists through clear communication and knowledge sharing.Research and implement emerging NLP and predictive modeling techniques, architect and manage APIs, and continuously learn to push the boundaries of AI.We're Looking For:Proven experience building and deploying models more »
ability to predict match outcomes. This role involves working with other data scientists, software engineers and sports experts to research ways in which the modelling approaches can be improved, and then turning those insights into practical modelling solutions that can deploy to production.About youStrong Python experience, including DS … identify and fix data quality issues & perform initial exploratory data analysisInterest in sports and betting/prediction/probability problemsExperience with statistical analysis and predictivemodelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are more »
R, or Java, and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and Spark.Solid understanding of statistical analysis, data mining, and predictive modeling techniques.Experience with big data technologies such as Hadoop, Spark, and distributed computing frameworks.What is in it for you?Significant Bonus Package. Flexible working more »
Job Identification 210492464 Job Category Predictive Science Business Unit Corporate & Investment Bank Posting Date 26/02/2024, 16:53 Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time JOB DESCRIPTION As an Applied AI ML Lead - Vice President in the … leading AI team. You will have the opportunity to advance the state of the art in financial applications, ranging from generating business intelligence to predictive models and automated decision making. You will work closely with our Markets Operations team, applying AI techniques to answer questions relevant to their operations. more »
decisions to deliver better products, service and relevance to consumers. Utilising advanced analytics tools like Dataiku, you will be responsible for extracting insights, building predictive models, and generating actionable recommendations to optimise customer experiences and drive business growth.Responsibilities:Utilise Dataiku and other analytical tools to extract, clean, and explore … customer data from various sources.Identify patterns, trends, and correlations within the data to uncover actionable insights.Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action.Implement machine learning techniques to segment customers and personalise marketing strategies.Collaborate with cross-functional teams to enhance CRM strategies based on data … personas based on behavioural, transactional, and demographic data.Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty.Requirements1-3 years experience in data analysis, statistical modelling, and machine learning techniques.Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure.Strong programming skills more »
our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data.You must be organised to ensure deadlines are met, and willing to take on new challenges. Our … position holds massive future potential for growth.As a machine learning engineer, your role will involve:Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance;Building Interactive Dashboards for Data Visualisation and Analysis.;Fine-tuning large language models (e.g. GPT more »
South East London, England, United Kingdom Hybrid / WFH Options
Harrington Starr
/TRADING INDUSTRYThis is an opportunity to join an industry leading gaming solution software provider to build out a brand new suite of sports predictive models and bet builders. You will work alongside a very impressive teamRoles and responsibilities:Sports quantitative and mathematical modellingData analysis and extractionYou will need … Strong degree in a STEM or quantitative subject at 2:1 or above.Comprehensive modelling expertise and statistical capabilities, alongside proficiency in either Python or RDemonstrable experience working in a sports modelling focused environment, in any sportFor more information please reach out to kate.jenkinson@harringtonstarr.com more »
