Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way … through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics More ❯
Data Engineer - £50k-£60k + bonus – Liverpool (1dpw) La Fosse are recruiting a Data Engineer for a growing construction client. Recently kicking off a big data maturity transformation, they are now looking to bring in an ambitious Data Engineer to help shape and guide their development as they migrate to the cloud, scale their data … get real value out of their data. You will ideally be business-minded, with a couple years of engineering know-how behind you, with experience building out cloud and data platforms and now looking for the next step where you can play a more decisive role within a data team. This is a real opportunity to grow your … supportive team and business, and would suit someone with 2-4 years of experience. Requirements: SQL and/or Python Azure, AWS or GCP ETL and orchestration Knowledge of data warehousing solutions An understanding of datagovernance Please apply for full details. No sponsorship is on offer unfortunately. More ❯
Liverpool, Lancashire, United Kingdom Hybrid/Remote Options
Lstmed
development team and play a key role in advancing intelligent healthcare sensor technologies within the Infection Innovation Technology Laboratory (iiTECH). You'll develop and implement predictive algorithms and data models that enhance the analytical and decision-making capabilities of next-generation handheld and wearable sensing devices for the detection, monitoring, and prevention of infectious diseases. You'll contribute … to the full innovation lifecycle, from data acquisition and model development to real-time implementation within embedded systems and clinical validation. You'll work closely with engineers, biomedical scientists, clinicians and software developers to ensure predictive models are seamlessly integrated into sensor platforms for rapid and reliable health assessments. Key responsibilities include: Design, develop, and validate machine learning and … statistical models for analysing multimodal sensor data Optimise algorithms for deployment on embedded systems to support real-time health assessment. Collaborate with electronics engineers to interface machine learning models with handheld and wearable sensor systems Develop pipelines for real-time data acquisition and feature extraction and evaluate model performance and system-level integration Establish rigorous datagovernanceMore ❯