knowledge of SQL • Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) • Familiarity with what is happening under the hood of popular Machine Learning algorithms • Strong problem-solving skills and attention to detail • Strong communication and collaboration skills • Ability to work in a fast-paced, dynamic environment • Eagerness to make an impact and lead on More ❯
predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser More ❯
business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune model performance for optimal results. 4. Communication More ❯
Experience in both frontend and backend development. Proficiency in Java, Python, JavaScript, Angular, and NodeJS. Experience with RESTful APIs, microservices, and event-driven architectures. Solid understanding of data structures, algorithms, and database technologies (SQL and NoSQL). Experience with cloud technologies (e.g., AWS, Azure, GCP) and messaging systems like Kafka. Knowledge of software design patterns, architectural principles, and best practices. More ❯
efficiently to meet operational and analytical needs. Advanced Data Analytics: Implement data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems More ❯
the data utilised for analysis. • Contribute to the majority of the Data Science Project Lifecycle from idea to production • Build, validate and manage intermediate prediction, simulation, optimisation models and algorithms • Work with senior team members to define and use the key performance indicators (KPIs) and diagnostics to measure performance against business goals • Deliver training sessions for the Data Science community More ❯
from you. Basic Qualifications: Bachelor's degree in Computer Science or related technical field involving programming or systems engineering. Proficiency in development with Java, SpringBoot, REST APIs Proficiency with algorithms, data structures and software design Experience in working with databases - NoSQL and/or Relational Ability to work independently in a fast paced and often multi-direction work environment Experience More ❯
Science, Mathematics, Statistics, or a related quantitative field. PhD is a plus Proven proficiency with SQL and Python for data extraction, analysis, and modelling Strong understanding of machine learning algorithms, predictive modelling, and data mining Excellent communication skills, with the ability to explain complex concepts to a non-technical audience Highly analytical and detail-oriented with a passion for digging More ❯
trends and industry best practices to drive innovation and deliver cutting-edge solutions. Connect to your skills and professional experience Technical Proficiency: Strong understanding of AI concepts, machine learning algorithms, and deep learning architectures. Familiarity with various AI solution design patterns and best practices for different business applications. Experience with data visualization tools and techniques to communicate insights and solution More ❯
from you. Basic Qualifications: Bachelor's degree in Computer Science or related technical field involving programming or systems engineering. Proficiency in development with Java, SpringBoot, REST APIs Proficiency with algorithms, data structures and software design Experience in working with databases - NoSQL and/or Relational Ability to work independently in a fast paced and often multi-direction work environment Experience More ❯
Data Science or Machine Learning role, ideally on consumer-facing products like search, ranking, recommendations, personalization, or discovery. Strong hands-on ability with ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and natural language processing (NLP), with a track record of deploying models to production. Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with More ❯
Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements More ❯
Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements More ❯
ll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You'll More ❯
can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Design, develop, and implement AI models and algorithms to solve specific problems Be responsible for delivery of outcomes/projects with defined levels of accountability Develop software applications that incorporate AI technologies Work collaboratively with other team members More ❯
significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered More ❯
research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. - Collaborate with software More ❯
Data ecosystems, including data pipelines and data integration. Solid understanding of software architecture and system design for high-availability applications. Knowledge of fundamental computer science concepts, including data structures, algorithms, and problem-solving. Excellent communication skills and ability to work collaboratively within cross-functional teams. Proficiency in English, both written and spoken. Asynchronous programming skills Architectural thinking: be able to More ❯
the data utilised for analysis. • Contribute to the majority of the Data Science Project Lifecycle from idea to production • Build, validate and manage intermediate prediction, simulation, optimisation models and algorithms • Work with senior team members to define and use the key performance indicators (KPIs) and diagnostics to measure performance against business goals • Deliver training sessions for the Data Science community More ❯
building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry ABOUT GOLDMAN SACHS At Goldman Sachs, we commit More ❯
between metrics and benchmarks. Develop robust Trend Identification models to analyse key metrics, understand evolving trends, and provide actionable insights (e.g., input to pricing, axes). Implement Outlier Detection algorithms to pinpoint unusual data points, enabling investigation of potential risks or opportunities, and build Scenario Planning tools to model the incremental impact of client activities and market movements on key More ❯
that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m More ❯
analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex More ❯
building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry ABOUT GOLDMAN SACHS At Goldman Sachs, we commit More ❯
Development: Develop high-quality software solutions that meet the needs of our users, including planning applicants and local authorities. Collaboration: Work closely with cross-functional teams to integrate AI algorithms and planning regulations into our software products. Testing and Debugging: Write clean, maintainable code and conduct thorough testing to ensure reliability and performance. Optimization: Optimize applications for maximum speed and More ❯
