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Data Scientist Intern - 2027
Summer 2027 Data Science internship at quant trading firm Hudson River Trading. Interns run independent Python projects (pandas, polars) to normalize and validate vendor market data, extract quantitative and textual features, and apply quality checks that feed research and automated trading. Paid weekly: $5,800 (NY) / £4,350 (London), plus housing, meals, and signing bonus.
Trade Network Architect
An ultra-low latency network architect at Hudson River Trading builds, tests, and optimizes the firm's global high-frequency trading infrastructure — architecting co-located L2/L3 networks, running hardware labs with traffic generators and FPGA/SmartNIC benchmarks, and using Python to analyze PCAPs and nanosecond-scale latency telemetry.
Senior Data Engineer (Remote)
Senior Data Engineer designing, modernizing, and automating mission-critical data pipelines and lakehouse environments for GovStar's national security customers. Day-to-day work centers on Python/SQL data transformation, database architecture, Docker, and cloud data platforms (AWS/Azure, Snowflake, Databricks).
Junior Data Scientist
Junior Data Scientist at Veloxio Technologies, a startup building AI/ML and web solutions for clients. The role involves building and deploying ML models, Generative AI/LLM applications (RAG, embeddings, AI agents), and data pipelines, working directly under the CTO. Core stack is Python with Pandas, NumPy, and Scikit-learn.
ML Engineer – Generative AI & LLMs (Remote)
We’re looking for Machine Learning Engineers who are passionate about building cutting-edge systems with LLMs and real-world data. In this role, you’ll work closely with clients and teammates to design, prototype, and…
IC3 - Data Engineer
Designs, builds, and maintains scalable data pipelines, ETL processes, and cloud data architectures (lakes, warehouses, streaming) for Spin, while mentoring junior engineers. Core stack is Python, SQL/NoSQL, Spark, Kafka, and AWS/GCP; requires 3-4 years of data engineering experience.
Data Engineer GCP
Consulting firm hiring a Data Engineer to build a modern GCP data platform (BigQuery, GCS, Airflow, Python) for a banking client — designing ETL/ELT pipelines, data governance, financial simulations and regulatory/management reporting.
AI/ML Developer
Entry-level AI/ML Developer in Maharashtra (Mumbai, Navi Mumbai, Thane) who collaborates with a data science team to build and optimize machine learning models and algorithms, using Python with PyTorch, TensorFlow, Pandas, and NumPy. Suited to recent graduates or those with up to one year of AI/ML experience.
Investment Engineering Data Analytics Associate
12-month contract at CPP Investments building Python-powered data workflows — ingestion, transformation, deployment, dashboards, and reporting — within Total Fund Management. Also maintains models for portfolio construction and rebalancing, using Python (pandas/NumPy), SQL, and AI-assisted development tools.
Python Developer -Forward Deployed, Pyspark
Senior forward-deployed engineer in Toronto (hybrid) who embeds with client teams — largely BFSI — to profile data and build production AI and data applications using Python, PySpark, SQL, FastAPI, and cloud data platforms, including Claude-powered apps with RAG, vector databases, and MLOps/LLMOps practices.
Python Developer
Senior forward deployed engineer in Toronto embedding with client teams to build enterprise AI and data applications: profiling data with Python/PySpark/SQL, building Claude-powered RAG copilots and pipelines, and owning delivery through production launch, monitoring, and handover.
Python Developer | Banking
Senior Data Consultant at Capco's Hong Kong Data practice, leading Python-driven delivery of data and analytics transformation projects for top-tier financial services clients. Builds and maintains Python data pipelines, analytical models, integrations, and automation frameworks; core stack is Python (pandas, NumPy) with data warehousing and CI/CD tooling.
Data Analyst (Entry-Level)
Entry-level Data Analyst at Recidiviz, a civic-tech company building tools to reduce incarceration. Day to day you explore messy criminal justice datasets, run well-scoped analyses, build dashboards, and prepare data for state product launches using SQL, Python/Pandas, and tools like BigQuery and Looker.
Senior Quantitative Developer
Senior Quantitative Developer on Man Systematic's front-office engineering team in Boston: builds trading signals, dataset pipelines, portfolio optimization tools and research platform features alongside quant researchers. Stack is Python (Pandas/NumPy/SciPy) with Java for high-throughput systems, MongoDB/MS SQL, and a Linux toolchain (Airflow, Kafka, Docker).