101 to 117 of 117 Pandas Jobs

5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state ...

with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. ...

with Java, C++ or another object‐oriented language Experience performing data analysis in Python, including proficiency with data science libraries such as NumPy and pandas, and visualization tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers ...

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g. TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with ...

datasets Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration ...

front‐office and risk functions What we’re looking for Strong Python development experience within enterprise environments Excellent SQL and data processing skills, including Pandas/NumPy Experience building APIs and backend services using frameworks such as FastAPI, Flask or Django Previous exposure to trading, risk, PnL or capital markets ...

need to succeed : Extensive hands-on Python Development experience building REST APIs with FastAPI or similar. Strong quantitative background - must have. Strong experience with Pandas, NumPy, and/or SciPy. Good experience with time series or market data models. Experience with Docker, Kubernetes, and Cloud. What ...

have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence You're collaborative with excellent communication skills What ...

with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),* Experienced with Rust, specifically the ort crate (beneficial but not essential)* Interested ...

setting (excluding post‐doc positions), with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures ...

Python skills and can also read and understand C++ code (will also consider Java experience) You have experience with Python data libraries e.g. NumPy, Pandas You have experience of working on MFT (Mid-Frequency Trading systems) You have strong analysis and problem solving abilities You're collaborative with great communication ...

predictive analytics that drive Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit‐learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies. RESPONSIBILITIES AND QUALIFICATIONS Responsibilities: Design, build, and maintain robust … feature engineering to model deployment and monitoring in a production environment. Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing ...

candidate must have some experience in several of the following areas: Full stack development Python (and associated data analysis libraries such as Numpy and Pandas) C#, .NET, and JavaScript/Typescript Visual Basic for Applications (VBA) Linux, including bash scripting Git Experience in the following areasare desirable: Cloud technologies Data ...

join their team. The Profile: Experience: 2–8 years in a Quant Development role (Hedge Fund or Tier-1 IB) Tech Stack: Python, NumPy, Pandas, etc. Domain (Essential): Deep knowledge of Fixed Income or Credit products Why Apply? Culture: Flat structure, rapid release cycles, no red tape Stack: Greenfield projects ...

Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design … Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability ...

Salary negotiable DOE Full-time, Permanent At a Glance Data science role at a US FinTech scale-up doing something genuinely new Python-first (Pandas, Polars, NumPy) with GCP and LLM exposure Fully remote across Northern Ireland Salary negotiable depending on experience Real product influence - not dashboard maintenance About … analytical models Design and implement profit intelligence frameworks covering cost allocation, margin analysis, and unit economics Build data pipelines and transformation logic in Python (Pandas, Polars, NumPy) Apply LLMs to map unknown data structures to canonical models, infer relationships, and generate explainable financial insights Collaborate with engineering to productionise models ...

Take a technical leadership position within JPMorgan’s Commercial & Investment Bank, where you’ll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI/ML Lead – Vice President ...