Senior Data Scientist - Credit Risk &amp; Fraud DetectionAbout the Company Join an innovative payment technology company reshaping the way customers spend on a daily basis and manage their finances. This fast-growing fintech firm has gained millions of customers since its launch, earning recognition for its rapid expansion and groundbreaking solutions. With ambitious growth plans and exciting projects ahead, the company is looking for top talent to help achieve its mission.The Role We are looking for a talented and experienced Senior Data Scientist to focus on developing and optimizing models for credit risk and fraud detection. The successful candidate will work with diverse data sources and collaborate with multidisciplinary teams to ensure data-driven decision-making. This is a unique opportunity to make a significant impact in a fast-paced and innovative environment.Responsibilities<ul><li>Develop and maintain credit risk and fraud detection models to support business decisions.</li><li>Collaborate with risk management and fraud prevention teams to align models with strategic goals and regulatory requirements.</li><li>Analyze credit bureau and fraud-related data to uncover actionable insights.</li><li>Present complex findings to senior stakeholders in a clear and accessible manner.</li><li>Apply machine learning techniques to enhance decision-making in risk and fraud management.</li><li>Ensure coding best practices for model development and deployment.</li><li>Utilize Python and core machine learning libraries for model building, validation, and deployment.</li><li>Conduct A/B testing and analyze experiments to improve product features.</li><li>Enhance workflows and methodologies in credit risk and fraud detection processes.</li></ul>What We're Looking For<ul><li>3+ years of experience as a Data Scientist, with expertise in credit risk and fraud detection models.</li><li>Strong knowledge of credit bureau data and its applications.</li><li>Proficiency in Python, SQL, and data science/machine learning libraries (e.g., Numpy, Pandas, Scikit-Learn).</li><li>Proven ability to communicate complex ideas effectively to non-technical audiences and stakeholders.</li><li>Experience with version control systems (e.g., Git) and working in collaborative environments.</li><li>A results-oriented mindset, with a focus on iterating and improving models in production.</li><li>Awareness of AI safety considerations, including bias detection and privacy management.</li></ul>Bonus Skills<ul><li>Experience with Amazon SageMaker for model development.</li><li>Familiarity with CI/CD pipelines and software development best practices.</li><li>Knowledge of monitoring tools for machine learning models.</li><li>Understanding of cloud-based model training and deployment solutions.</li><li>Experience with DBT for data modeling and Looker for business intelligence reporting.</li><li>A keen interest in staying updated with the latest technologies and trends.</li></ul>Why Join? Be part of a company revolutionizing payment technology and shaping the future of how people pay and save. Work in a dynamic and collaborative environment with opportunities to grow and make a significant impact. With big growth plans ahead it's a great opening with huge potential to evolve in line with your career aspirations.

Senior Data Scientist

Lead Machine Learning EngineerUp to £110,000 + Car Allowance + 30% BonusLondon office x1 day per week OVERVIEWAn internationally established major retail brand are hiring for a Lead Machine Learning Engineer to join a strong ML function, managing a team of Data Scientists and engaging with senior business stakeholders. You will be spearheading an ML/ Data Science team, delivering production level machine learning projects at scale for the business, being responsible for driving forward some major ML/ AI initiatives within the wider Data team. Your responsibilities as a Lead Machine Learning Engineer will include but not be limited to:<ul><li>Manage a team of Data Scientists/ ML Engineers, direct line management responsibilities including training and personal development, performance and making hiring decisions.</li><li>Technically lead key Machine Learning/ AI initiatives within the Data Science function, still being hands on technically where necessary.</li><li>Engage with senior level business stakeholders, communicating technical concepts to non-technical audiences and demonstrating the value of AI/ ML with your projects.</li></ul> YOUR SKILLS &amp; EXPERIENCEA successful Lead ML Engineer will have the following:<ul><li>Proven experience managing a team of Data Scientists/ ML Engineers.</li><li>Several years experience as a Data Scientist/ ML Engineer, some of which is a Senior/ Lead capacity.</li><li>Experience delivering production level ML solutions at scale within a reputable company/ data science function.</li><li>Experience working in customer-centric environments such as retail, telecoms, B2C industries are preferred.</li></ul> HOW TO APPLYPlease register your interest by sending your CV to luke.frost@xcede.com or click the Apply Link!

Lead Machine Learning Engineer

Data EngineerLondon office x3 days per weekUp to £85,000 Salary OVERVIEWSuccessful AI Scale Up in Medical Technology/ Digital Health are hiring for a Data Engineer with a focus on optimising the data architecture and building reliable and scalable data pipelines for the application of advanced analytics and machine learning. You will be joining a strong Data team and reporting directly into the Head of Engineering. YOUR RESPONSIBILITIES:The Data Engineer's responsibilities will include, but not be limited to:<ul><li>Design, build and maintain scalable Data pipelines.</li><li>Maintain Data dashboards through data visualisation.</li><li>Ensure the quality and security of data processes.</li><li>Work closely and collaborate with the Machine Learning, Application and Analytics teams to understand data requirements and deliver projects.</li></ul> YOUR SKILLS &amp; EXPERIENCEA successful Data Engineer will have the following:<ul><li>Min 4 years proven commercial experience as a Data Engineer.</li><li>Experienced in building ETL processes and scalable data pipelines.</li><li>Experience in Python/ Java, SQL and cloud data infrastructure (AWS, Azure of GCP).</li><li>Familiarity with tools or similar technologies such as Kafka, Airflow, Apache Spark.</li></ul> HOW TO APPLYPlease register your interest by sending your CV to luke.frost@xcede.com for more info!

Data Engineer

Senior Computer Vision EngineerLondon office x3 days per weekCompetitive Salary OVERVIEWSuccessful AI Scale Up in Medical Technology/ Digital Health are hiring for a Senior Computer Vision Engineer with a focus on object detection &amp; recognition and multimodal LLMs for their cutting-edge AI platform. Joining a top-tier team of Computer Vision Engineers to deliver exceptional work in the AI &amp; Digital Health space. Applicants must have strong experience in writing production level code to build Computer Vision products and solutions (ideally 4+ years) with a focus on object detection and recognition, multimodal LLMs and leveraging expertise in Deep Learning techniques. YOUR RESPONSIBILITIES:The Senior Computer Vision Engineer's responsibilities will include, but not be limited to:<ul><li>Apply Object Detection &amp; Recognition techniques to build deliver cutting-edge work for an AI Platform in Digital Health.</li><li>Leverage experience in data augmentation and integrating multimodal data sources including RBG &amp; NIR as well as Multimodal LLMs.</li><li>Apply novel approaches to cutting-edge research projects in computer vision and deep learning.</li><li>Collaborate within a high performing team of Computer Vision Engineers, in a test-driven development environment and write production level code to engineer solutions at scale for the platform.</li></ul> YOUR SKILLS &amp; EXPERIENCEA successful Senior Computer Vision Engineer will have the following:<ul><li>Minimum of MSc (ideally PhD) + 4 years of experience in commercial real-world applications, leveraging Computer Vision techniques including Object Detection &amp; Recognition, Image Segmentation and Multimodal LLMs.</li><li>Proficiency in Python, OpenCV, PyTorch, Numpy.</li><li>Experience with imaging modalities (RGB, NIR) to enhance computer vision models.</li><li>Ability to write production level code in Python (C++ is also desirable) and ideally prior experience working in test-driven development environment</li><li>Experience applying object detection and recognition techniques to metallic or highly reflective objects is highly desirable.</li><li>Experience with LiDAR and imaging sensors for mobile applications in Computer Vision is desirable, but not essential.</li></ul> HOW TO APPLYPlease register your interest by sending your CV to luke.frost@xcede.com for more info!

Senior Computer Vision Engineer

​Since setting up Xcede's Data Science and Data Engineering Recruitment offering from scratch back in 2013, Niall has earned nearly a decade of experience recruiting in this specialist area of the data space. Alongside his colleague Matthew, Niall was one of the first UK recruiters to place Data Science roles and has witnessed the industry evolve from the ground up. Being one of the first recruiters in the UK to focus on this arena of Data, Niall has played a key role in curating Xcede’s industry-leading events in the data recruiting space. Niall consults for roles at each level from Associate through to Director, for a range of jobs including Senior Data Scientist and Head of Analytics to Machine Learning Engineer and Big Data Architect and beyond. He has since been promoted to Associate Director.​

Niall Wharton

Associate Director

DATA SCIENCE MANAGER Xcede are working with one of the world's largest sports betting and gaming organisations in their search for a Data Scientist to work on their personalisation, recommender systems, fraud models, forecasting, real-time odds creation and more! This is a chance to join an extremely talented ten person Data Science &amp; ML team (circa 50 supported by a wider Analytics Unit of circa 70) who take training and career growth seriously. Responsibilities <ul><li>Work on a variety of Data Science projects in the central global data science function</li><li>Collaborate with Machine Learning Engineers to ensure models go into production and are successful</li><li>Contributing to identifying data science led opportunities to the business and communicating them to various stakeholders</li></ul> Requirements <ul><li>Relevant commercial Data Science experience (can be in different sectors)</li><li>MSc or PhD in a relevant academic area</li><li>Strong Python experience</li><li>Strong applied Machine Learning &amp; Statistical knowledge and experience (XGBoost, Random Forest, GBM, etc.)</li><li>PySpark experience is a bonus</li></ul> If this role interests you and you would like to find out more, please contact us via niall.wharton@Xcede.com (feel free to include a CV for review). We're consistently working on a large number of Data Science requirements that are not always advertised here, so even if this role isn't the one for you, please do get in touch!

Data Science Manager

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Niall Wharton

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