
51 - 200 employees
đŒ Consulting
đŁ Marketing
đ„ Healthcare
Consulting âą Marketing âą Healthcare
YLD is a software engineering and design consultancy that helps businesses succeed by fostering a progressive culture of learning. The company specializes in software engineering, digital product design, and data science, with expertise in modernizing practices and software using technologies like Node. js, React. js, Kubernetes, and React Native. YLD also emphasizes open-source development, community engagement, and training to empower engineering teams. The company serves a diverse range of industries including energy, fintech, and Web3, and runs events to support tech communities. YLD has offices in London, Lisbon, and Porto.
đ April 7
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51 - 200 employees
đŒ Consulting
đŁ Marketing
đ„ Healthcare
Consulting âą Marketing âą Healthcare
YLD is a software engineering and design consultancy that helps businesses succeed by fostering a progressive culture of learning. The company specializes in software engineering, digital product design, and data science, with expertise in modernizing practices and software using technologies like Node. js, React. js, Kubernetes, and React Native. YLD also emphasizes open-source development, community engagement, and training to empower engineering teams. The company serves a diverse range of industries including energy, fintech, and Web3, and runs events to support tech communities. YLD has offices in London, Lisbon, and Porto.
âą Collaborate with stakeholders to identify and understand business problems and define data-driven solutions âą Lead end-to-end data science projects, from problem formulation and data exploration to model development, validation, and deployment âą Apply advanced statistical modelling and machine learning techniques to derive actionable insights and drive strategic decision-making âą Develop and implement predictive and prescriptive models to solve complex business challenges âą Collaborate with software and data engineers to integrate data from multiple sources and ensure data quality and integrity âą Communicate complex analytical concepts and insights to technical and non-technical stakeholders in a clear and compelling manner âą Stay up-to-date with advancements in data science, machine learning, and AI technologies, and identify opportunities to apply them to business problems âą Work closely with clientsâ cross-functional innovation teams to build new and novel products
âą Proven experience as a Data Scientist focused on developing and deploying machine learning models in production âą Expertise in Python and libraries such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch âą Experience with supervised and unsupervised learning, time series analysis, and natural language processing âą Strong statistical modelling skills and familiarity with statistical analysis tools âą Proficiency in SQL and relational databases âą Understanding of data engineering, data preprocessing, and feature engineering âą Experience in a professional engineering role iteratively shipping software with close collaborators âą Strong problem-solving, analytical, communication, collaboration, and project management skills âą Ability to prioritise tasks and meet deadlines âą Comfortable working in a dynamic production environment and managing client expectations âą Customer focus and quality mindset âą Good verbal and written communication skills
âą The chance to work with a forward-thinking, ethical, and fun group of people âą Opportunity to develop and grow your skills in a fast-moving business âą Flexible working around core hours âą Work-life balance
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