5 of 5 Remote Data Science Jobs in Slough

Data Science Manager Hybrid, London. Up to £130k I'm working with a well known financial institution to find an exceptional Data Science Manager to lead and scale their data science function. Ideally, you will bring strong experience in fintech or financial services , with … a proven ability to build high-performing teams and deliver impactful, data-driven solutions. Key Responsibilities: Build, mentor, and lead a high-caliber data science team. Define and execute the data science roadmap in alignment with business objectives. Present analysis and insights clearly to senior … audiences through written reports and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modelling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years More ❯

Role: Junior Data Scientist Location: London, UK (Hybrid) Salary: £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. … My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets : Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support … predictive modeling : Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions : Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams : Work closely with finance, product, and technology teams to More ❯

people. And create a real impact. As our Analytics Engineer , you will lead on setting the bar for the quality and accessibility of our data through transformation, modelling and testing. You will be key to balancing high performance, low cost and high accuracy in our data for use … in the product, marketing, and finance teams among others. You will work across the entire data stack—from ingestion to visualisation—transforming raw data into actionable insights in Snowflake with dbt cloud. You will closely partner with the Data Analyst to solve both critical business problems as … well as creating innovative data products for our AI ambitions. If you love numbers and data and want to get into Analytics Engineering in a fast-paced environment on a modern data stack, where your work directly influences the trajectory of the business, we want to meet More ❯

AI engineering, while having less focus on robotics. Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. Candidate should be an idea or concept developer with a strong background in innovation, particularly in POC development and research, rather than a More ❯

with trading desks, global research teams, and enterprise technology. What you'll do: Lead the development of core frameworks and services that power advanced data and analytics platform on AWS. Spearhead the architectural design and engineering of innovative solutions that drive the evolution of the platform’s core capabilities. … Implementation of shared libraries, frameworks, APIs, SDKs, and microservices. Collaboration with cloud platform engineers, data engineers, data scientists and other software engineers. Requirements: Strong background in software engineering, with expertise in Python. Extensive experience in API design and development. Knowledgeable in enterprise architecture, including event-driven and serverless … frameworks. Significant experience with cloud technologies, especially AWS, as well as containerisation and container orchestration. Familiarity with data engineering and distributed data processing engines, plus a working knowledge of DevOps practices and Infrastructure as Code (IaC) frameworks. Bachelor's degree or higher in Engineering; prior experience within Investment More ❯