The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing … degree 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, SQL … Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »
hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild Why we need this role Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams … across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. Our team is responsible … spearheading a wide range of existing use cases, driving Builder’s Code Generation effort, taking ownership of our proprietary knowledge graph and leveraging advanced data analysis to derive valuable insights and make data-driven decisions. Key problems include: Utilizing generative AI for code generation and automating software assembly. more »
Deploy the power of data science for the present and future of various energy markets, globally. This company work across various energy and commodities markets across the world. We appreciate that not everyone wants to work within Oil and Gas trading, however, becoming one of the key Data … be to look at more sustainable options for trading all kinds of commodities products. You’re going to be a key part of the Data Science team in London, with the current team being based in the USA. You’ll work closely with Heads of Trading Desks, Traders and … Researchers to understand all aspects of the data flows across the business and you’ll work closely with these stakeholders building various models and data products. There’s a range of projects to sink your teeth into upon arrival, where you’ll work on all parts of the more »
over £150bn reserves. Some of the things they have done so far include: Using machine learning to automatically identify and highlight trends in insurers’ data and deploying this to production using Azure Analysis to assess the impact of key factors including weather, age of vehicle and driver region on … working with cloud computing (preferably Azure) would be beneficial but is not essential. Specifically, you will be: Working within their dynamic team of actuaries, data scientists and software developers Using your insurance, data science and actuarial knowledge to design and implement analytics solutions to non-life insurance problems … using modern techniques whilst considering practicalities such as the amount of data available and explicability Working on the development and implementation of new features including delegating work to more junior members of the team. Day to day, this will involve writing and reviewing Python code in Pycharm, using version more »
to industry specific leading edge AI software solutions. You'll be part of our rapidly growing team who will have a chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance … Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with … the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or more »
W Talent are currently partnered with a fast growth Fintech company Looking to add to their Data Science team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data-driven approaches. Job Responsibilities/Outline of job … enhancement, and maintenance of cutting-edge machine learning models to address business challenges and opportunities. Collaborate with cross-functional teams to identify and prioritize data science projects that align with company goals and objectives. Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large and … complex datasets. Mentor and coach junior data scientists, providing guidance and support to foster their professional growth and development. Communicate findings, recommendations, and insights to stakeholders at all levels of the organization Person we are looking for: Proficiency in programming languages and tools such as Python, R, Snowflake, dbt more »
Build forecasting and pricing models in investment management. You’re going to be coming in to help with the build out of a generative AI piece of software that allows the research team to assess which companies are suitable for more »
CTO) £120,000 - £140,000 REMOTE/LONDON COMPANY This exciting tech-driven startup is looking for a CTO to help them drive their Data strategy to productionise their LLM-based product. They have a 3-4 team that are building the product, where you will be driving the more »
