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Data Science Intern: Build Pipelines & Real-World Analytics
Paid data science internship (London Living Wage) on Opbox's London delivery team: building data pipelines and data warehouses, deploying ML/AI models for real clients, validating data quality, and presenting insights in client calls, with a path to a full-time role.
Data Science & Software Graduate Engineer — Hybrid & Mentored
Graduate engineer role at Frazer-Nash Consultancy's Digital stream, joining either a data science team (data governance, analytics, forecasting, decision support) or an engineering software team covering the full software design life cycle from requirements to testing. Hybrid working with mentoring.
Data Science & Software Graduate Engineer
Graduate engineer at Frazer-Nash, an engineering, systems and technology consultancy, working across data science, analytics, forecasting and the software design lifecycle on projects for defence, energy, transport and government clients, with mentoring and support towards professional accreditations such as chartership.
2027 BNY Analyst Program – Engineering (Data Science) (Manchester)
Graduate analyst role on BNY's 24-month rotational Analyst Program in Manchester (2027 intake), following a summer analyst experience. Day to day: applying data science and analytics to real business and engineering problems — data profiling, feature engineering, and building analytical models and tools — using Python, JavaScript, Java, CSS and related technologies at a global financial services f
Graduate Data Science & Software Engineer — Hybrid
Graduate-level engineer at consultancy Frazer-Nash joining its Digital stream: either working in data science teams on data governance, analytics, forecasting and decision support, or contributing to the full software life cycle in engineering teams, serving defence, energy, transport and government markets. Hybrid role based in Leatherhead, UK.
Ai/ML Data Science Engineer
Design, build, and deploy production-grade AI/ML solutions for real-time data, video analytics, and large data platforms — spanning predictive analytics, computer vision, anomaly detection, and NLP. Day to day involves ML models, inference pipelines, model monitoring, and scalable data pipelines; needs 5-10 years' experience, advanced Python, SQL, and cloud data platforms.
Senior Data Scientist and Data Engineering Experts
Senior data scientists and data engineers train and evaluate frontier AI models for an AI research lab via Mercor: designing realistic DS/DE tasks (statistical modeling, ML pipelines, ETL, SQL/Python), writing evaluation criteria, and scoring outputs. Fully remote contractor role, open to candidates in the US, UK, Canada, Australia, or New Zealand.
2027 Summer Intern Ai/Ml & Data Engineering
Summer 2027 intern on Regeneron's AI/ML & Data Engineering teams, building real production AI: LLM agents and apps, NLP text mining, data pipelines, semantic data models, and workflow automation to speed up drug development. Full-time May/June-August, mostly onsite at US sites, paid hourly using Python/SQL.
Senior Sales Engineer, AI Data Solutions
Senior Sales Engineer building and demoing AI-powered healthcare analytics for life-sciences clients, turning weeks-long analyses into live minutes-long insights to drive commercial outcomes.
Data Scientist
A data scientist who spends most of the day writing R code to turn raw healthcare claims and EHR data into analytic-ready datasets, run protocol-specified statistical analyses, and produce client-ready study reports. Work centers on reproducible analytical pipelines using R, dbplyr/SQL, GitLab, and causal inference tools for clinical and regulatory research.
Practice Manager
We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With…
Senior Data Services & AI Engineer
Builds and maintains NTU's data pipelines, data platforms, and Generative AI solutions (e.g., RAG, prompt engineering, data modelling) using tools like Denodo and Snowflake on cloud platforms such as AWS, Azure, or GCP, while supporting production systems and delivering projects under senior technical guidance.
Lead Data Platform Production Engineer
Lead production engineering for the Monetary Authority of Singapore's Data Analytics & Engineering division: deliver critical data platform projects, establish operating models across MAS, and drive cloud, container, and security practices while collaborating with data science and product management teams.
VP, Software Engineer (Data)
VP-level engineering leadership role at SGX Group, the Singapore-based securities exchange: leading software and data engineering across data platforms, data products, pipelines and APIs for mission-critical market infrastructure. Stack includes Python/Java/TypeScript/KDB+, SQL, Kafka, Airflow/dbt, GCP/Snowflake, Kubernetes and CI/CD, with an agentic AI mandate.
Senior Software Engineer, MOF
Senior full-stack engineer on a 2-year fixed-term contract with Singapore's GovTech, building and maintaining secure digital services for the Ministry of Finance. Day to day: end-to-end web app development (React/Angular/Vue plus Java/Spring Boot, Node.js, Python or .NET), APIs and integrations, plus CI/CD, DevSecOps and AI-assisted engineering.
Cloud & Data Platform Engineer
Platform engineer acting as the technical bridge between Azure and Data Science teams: administering Azure ML/AI Foundry and GenAI environments, provisioning infrastructure with Terraform, and helping evolve a Microsoft Fabric data platform. Hired by IT House (Egor Group) for a tech-sector client, hybrid in Lisbon.
Business Data Scientist, Growth and Opportunity Marketing
Data scientist on Google's BizOps-supported Growth & Opportunity Marketing team: runs advanced analytics on first- and third-party data, builds LTV/user-segmentation models, designs experiments and media measurement (MMM/MTA), and builds the SQL/Python data infrastructure, then communicates insights to executives.
Remote Analytics Engineer
Senior Analytics Engineer on a 9-month remote contract through Sigma Systems supporting Boston University. Day to day: building AI-ready lakehouse data models, semantic layers, and pipelines with SQL, Python, dbt, AWS, Apache Iceberg, Trino, and Dagster so LLMs and AI agents can reliably query institutional data.
Manager, AI & Research Computing Initiatives
Manager, AI & Research Computing Initiatives Job ID: 3743 Client: Boston University Location: Boston, MA Duration: 9-Month Contract Work Arrangement: Hybrid – Must be local to Boston, MA Schedule: 40 Hours per Week…
AI Systems Engineer | Agentic Platforms
AI Systems Engineer on an enterprise Data Science & AI team in Boston, building production agentic AI and RAG applications end to end — from data pipelines and model fine-tuning to deployment and optimization — using Python, AWS (EC2, EKS, S3, Lambda), Docker/Kubernetes, Terraform, and vector databases like Pinecone.