As a Data Analyst apprentice, you’ll cover the fundamentals of data analytics and begin to become a data professional, using big data and statisticalmodelling to make better predictions from data. Our programme will give you a thorough understanding of how data is integrated to allow the … application of statistics and modelling to make better predictions from data. Data story telling runs throughout the programme, and you will explore a number of theories which will to reinforce concepts around effective visualisation. Your apprenticeship will take around 18 months to complete and will cover key areas such … as: Analytics lifecycles Data democratisation SQL data extraction Advanced data joins Advanced visualisation of data Statistical programming languages Predictive modelling and forecasting Statistics in analysis Creating and delivering a great data product . Why Lloyds Banking Group? We’re the UK’s biggest digital bank and you’ll more »
has arisen for a talented machine learning engineer to join a stealth-mode startup based in Edinburgh. Focused on applied machine learning and advanced statistical modeling, this role offers the chance to be part of a founding team shaping the future of a groundbreaking company. The Opportunity As a more »
has arisen for a talented machine learning engineer to join a stealth-mode startup based in Edinburgh. Focused on applied machine learning and advanced statistical modeling, this role offers the chance to be part of a founding team shaping the future of a groundbreaking company. The Opportunity As a more »
talented Machine Learning Engineer with a passion for innovation and a deep curiosity about tackling tough challenges. In this role, you will develop advanced statistical models to optimise complex experimental designs, leveraging cutting-edge techniques to create impactful solutions. You'll collaborate closely with clients and cross-functional teams … leave a lasting mark on a groundbreaking organisation while growing alongside the company. What We're Looking For ** Advanced understanding of Bayesian methods, probabilistic modelling, and machine learning techniques. ** Hands-on experience with probabilistic programming frameworks like Pyro, Stan, or JAX. ** Strong mathematical foundations, with expertise in applying them more »
