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 »
complex business rules, and dashboards in Anaplan. Seamlessly integrate data sources with Anaplan through various methods. Utilise advanced formula writing for accurate forecasting and predictive modeling. Ensure accurate tracking and management of model changes through version control practices. Design intuitive and visually appealing dashboards in Anaplan. Provide training, support more »
work with clients to understand their objectives and harness the power of data and technology for organisational success. What's will you be doing: Predictivemodelling for performance optimisation Analyse data to discover trends Provide clear, actionable recommendations based on insightful analysis Working with clients closely to identify … as well as existing What we'd love to see: Strong working Python and SQL proficiency Extensive Machine Learning experience for example for forecasting, predictive performance analysis, optimisation Cloud platform experience (AWS) The business operate on a hybrid working model and are in the office 3 days a week. 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 »
a talented machine learning engineer to join the team and be part of the early journey of building a proprietary analysis tool based on predictive machine learning models that aim to identify attractive investment opportunities by valuing financial, environmental and social metrics. This is a broad role where you … roadmap together with the CEO, COO and Head of Engineering. Responsibilities Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Ensuring that algorithms generate accurate user recommendations Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving … a plus. You have advanced proficiency with Python, Java, and R code writing. You have extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture. You have in-depth knowledge of mathematics, statistics, and algorithms. You have excellent analytical and problem-solving skills. You have communication more »
to write modular, efficient, and well-documented code that can be adapted for use in production systems with minimal adjustments. Experience deploying and maintaining predictive models in production-level systems is advantageous. Experience fitting predictive and descriptive models to data using a variety of techniques and assessing model more »
City of London, London, United Kingdom Hybrid / WFH Options
REVYBE IT RECRUITMENT LIMITED
proficiency in Python, R, and MATLAB, Experience with data visualization tools such as Tableau, Power BI, or D3.js. Solid understanding of statistical analysis and predictivemodelling techniques. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills to work effectively with more »
role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictivemodelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development … across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the more »
