1 to 25 of 62 Predictive Modelling Jobs in London

passion for adtech & performance marketing. The ideal candidate will have entrepreneurial spirit, an interest in trading and experience with measurement, experimental design and leveraging predictive analytics to drive performance marketing outcomes. Skills: Communication skills: Ability to engage with C-level stakeholders. Collaborate closely with our Marketing team, understanding their … measurement: Knowledge and experience with experimental design and measurement for performance marketing and CRM activities. Familiarity with sparse, fat tailed distributions would be advantageous. Predictive Modelling: Ability to evaluate results of predictive models and predictive modelling techniques. Apply these insights to optimise growth strategies, enhancing 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 »

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 »

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 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 »

to-end data science projects from problem formulation to implementation and deployment. You'll communicate effectively with stakeholders and form strong business relationships, leveraging predictive modelling, segmentation techniques and AI algorithms to unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity more »

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 more »

key performance indicators (KPIs) and create dashboards and visualisations usingPower BI.Utilise SQL for data extraction, transformation, and loading (ETL) processes.Drive advanced analytics initiatives, including predictive modelling and machine learning, usingPython.Ensure data quality, accuracy, and consistency across all reporting and analytics efforts.Provide actionable insights to support decision-making at … Science, Data Science, Business Analytics).Proven experience (5 years) in business intelligence, data analytics, or related roles.Strong proficiency inSQL,Power BI, andPython.Experience with data modelling, ETL processes, and data visualisation.Excellent leadership and communication skills.Real estate industry knowledge is a plus. If you're interested in this role, click 'apply 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 »

degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Experience Managing/ 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 »

unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members more »

on the broad spectrum of customer analytics, and we have 30 million known customers to play with… In CVU we do our most complex modelling, forecasting, tool building, and insights-generation and we use agile working methodologies to make sure we’re prioritising the right outcomes.This Analytics Manager role … best practice in how code should be written - and an ability to install this in the wider team.Excellent analytical skills and statistical understanding including predictive modelling, clustering, time series analysis and experience of applying these for decision makingHigh level understanding of data architecture/governanceExperience of managing stakeholders 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 »

Senior Data Scientist - Inside IR35 (3 month contract) - Hybrid Responsibilities Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors. Analyse data using predictive/prescriptive techniques to discover hidden trends and … Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks more »

driven machine learning models in the healthcare space! 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 »

driven machine learning models in the healthcare space for clients! ROLE: 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 »

learning models in the healthcare space for clients! 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 »

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 more »

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 more »

assurance across all systems. Promote a data driven culture, advocating for the use of data and analytics in decision making and process optimisation. Using Predictive modelling solutions for current data and generating a model to help predict future outcomes. Requirements : A Computer Science/Programming Degree. Background of … using data analysis tools and software (e.g., SQL, SAS, Python and R). SQL – Advanced Proficiency Experienced in Machine Learning and predictive modelling. Background working with consultancy services. Highly experienced with MS Azure cloud platforms. 3 years minimum. Understanding of building resilient multi-site architectures. Proven ability to develop more »

and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modelling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data … Proven track record of success in Data Engineering teams Experience with relational and MPP databases (Snowflake, Redshift, Big Query etc). Experience with data modelling techniques (Kimball/Star, Datavault, etc). Experience with SQL and query design on large, complex datasets. Experience with cloud and big-data tools more »

Responsibilities: Develop and implement machine learning models to analyze and predict market trends. Conduct extensive research to identify new data sources and features for predictive modeling. Collaborate with traders and other researchers to integrate models into trading strategies. Optimize existing models and algorithms to improve performance and accuracy. Stay more »

successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical device development. Develop predictive models and algorithms to identify innovative solutions, enhance existing designs, and predict device-user interactions in the medical device domain. Design and conduct experiments more »

in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts. Strong leadership and team management abilities, with a more »