Data ScientistOpportunity within a Tech4Good FinTech firm in LondonLocation:
London (Hybrid/Remote)Employment Type:
Full-time, PermanentSalary:
£50,000 – £60,000Benefits:
Flexible working options, hybrid or remote work model, Share options and
more!About the client:
Please make sure you read the following details carefully before making any applications.Our client is an innovative company rapidly expanding early-stage venture, pioneering advancements in technological solutions. They empower some of the world’s largest asset managers to assess the environmental impacts of the businesses within their investment portfolios. By harnessing cutting-edge technologies, the company provides both Data-as-a-Service (DaaS) and Software-as-a-Service (SaaS) platforms, enabling organisations to understand their influence on nature and identify areas for improvement and operational transformation.The Benefits:Flexible working hoursHybrid and remote opportunitiesProgressive roleWork for a growing and reputable workforceOpportunity for share optionsThe Data Scientist role:Design and Build AI Systems:
Develop cutting-edge AI-based extraction systems to process and analyse company-level information related to business operations and their interactions with nature and biodiversity.Develop Data Pipelines:
Architect, implement, and maintain large-scale data scraping, processing, and cleaning pipelines using Python.Data Engineering and Analysis:
Apply strong data engineering skills to build and optimise data pipelines, ensuring high-performance and scalability.Machine Learning and AI:
Utilise advanced machine learning techniques, including generative AI for text and image processing, and apply these methods to NLP tasks and other AI-driven analyses.Optimise Data Systems:
Enhance the performance and scalability of large-scale data processing systems, ensuring efficiency in handling complex datasets.Software Development Practices:
Follow best practices in software development, including git-based version control, Python package management, and code reviews.Collaboration and Communication:
Work closely with other teams, presenting technical concepts to non-technical stakeholders and collaborating within a growing start-up environment.Prioritisation and Organisation:
Demonstrate strong organisational skills with the ability to focus on priorities across multiple tasks and proactively drive solutions.Cloud Platform Expertise:
Work with Google Cloud Platform (GCP) as the main cloud provider; knowledge of other platforms such as AWS or Azure is a plus.Geospatial Data Handling:
Work with geospatial data formats and use Python libraries for geocomputation and Postgres/PostGIS for spatial data analysis.Containerisation and CI/CD:
Apply experience in containerisation with Docker and understand CI/CD and DevOps processes, particularly in an Agile framework.Image Recognition:
Use computer vision techniques such as vision transformers or convolutional neural networks (CNNs) for image recognition modelling.Data Scientist – Essential requirements:Must hold a UK Passport, ILR or UK Settlement status – No sponsorship offeredAdvanced degree in Computer Science, Mathematics, Physics, Computational Biology or extensive experience in Data ScienceTo be considered…Please apply by clicking online or emailing me directly at
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For further information please call me on
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By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only.Key Skills: AI Systems, Data Engineering, Data Analysis, Machine Learning, Data Systems, Communication, Cloud Platforms, DaaS, SaaS, Python, GCP
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