76 to 100 of 101 Remote/Hybrid Pandas Jobs

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...

ahead and survivorship bias, and reconstructing what was knowable on a given date. Statistical modelling and optimisation (statsmodels, cvxpy; PyTorch useful). Datasets in pandas and Parquet/Arrow, plus an analytical engine such as DuckDB. Nice to have Quantitative research background, academic or industry. Index construction and classification taxonomies. ...

that level of detail Comfortable in profiling tools like Nsight or PyTorch Profiler, and monitoring stacks like Prometheus and Grafana Python for data work, Pandas and NumPy, plus general scripting Nice to have rather than essential: a postgraduate degree and research background (publications welcome), real depth on inference serving frameworks ...

tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modelling; Strong Python skills with LangChain, HuggingFace Transformers, and data pipelines using Pandas, DVC, and Weights & Biases; Ability to define and track generation quality using BLEU, ROUGE, and editorial-specific evaluators; Experience with STT/TTS tools ...

compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate clearly, and prioritise collective ...

simulation environments from the ground up. Deep knowledge of cryptocurrency market structure, DeFi protocols and on‐chain data. Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) and machine learning concepts. Experience working with large‐scale time‐series data and databases (e.g., KDB+, InfluxDB, TimescaleDB). Experience in a performance ...

large, complex datasets is essential. Experience with data analytics tools is highly advantageous , particularly: SQL for data querying and manipulation. Python (especially libraries like Pandas) for data analysis. Business Intelligence packages such as Looker or Power BI for visualisation and reporting. Proven Transformation Experience: Demonstrable experience contributing to finance change ...

tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modelingStrong Python skills, including working with LangChain, HuggingFace Transformers, and data pipelines (Pandas, DVC, Weights & Biases)Comfortable defining and tracking generation quality with eval metrics like BLEU, ROUGE, and building editorial-specific evaluatorsExposure to STT/TTS tools ...

relevant software engineering experience Hands on technical expert, confident to lead development in dotnet core/aspnet core Experience in Python, with emphasis on Pandas Experience with Postgres, Snowflake and/or handling large datasets Experience with linux, docker and cloud-based development platforms and cloud-based technologies and architecture ...

CUDA or similar Familiarity with profiling tools (Nsight, PyTorch Profiler) and ideally some exposure to monitoring stacks (Prometheus, Grafana) Strong Python for data work, Pandas and NumPy, genuine scripting ability Nice to have: exposure to inference serving frameworks like vLLM, published research, or open source contributions in this space. ...

modelling or environmental data analysis. Excellent analytical skills with the ability to interpret complex real-world datasets. Strong Python skills for scientific analysis (NumPy, Pandas, SciPy or similar). Experience communicating technical findings to both technical and non-technical audiences. Ability to work collaboratively across software, engineering and scientific teams. ...

Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design (Architecting, High-Level Design and Low-Level Design) Development ...

Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design (Architecting, High-Level Design and Low-Level Design) Development ...

paradigms, from SFT to the principles behind RLHF/RLAIF preference modeling Strong Python skills, including working with LangChain, HuggingFace Transformers, and data pipelines (Pandas, DVC, Weights & Biases) Comfortable defining and tracking generation quality with eval metrics like BLEU, ROUGE, and building editorial-specific evaluators Exposure to STT/ ...

safety research, or a quantitative academic field with strong experiment design methodology. You demonstrate strong programming skills in Python using core scientific libraries (NumPy, Pandas) and , ideally, evaluation frameworks and tooling (e.g. Inspect AI) and agentic harnesses. You bring deep curiosity and expertise across the data science toolkit, with ...

build, test and support production-grade ETL/ELT pipelines that source, transform and curate data for Internal Audit. Develop maintainable Python solutions using Pandas, Polars and PySpark, selecting fit-for-purpose approaches based on scale, performance and operational needs. Write advanced SQL for data transformation, reconciliation, profiling and analysis … equivalent practical experience in computer science, engineering or a related quantitative discipline. A master’s degree is welcome. Hands‐on proficiency in Python, including Pandas, Polars and PySpark, with experience writing testable and maintainable code. Strong SQL proficiency and practical understanding of OLTP databases, relational design and query performance. Strong ...

About LendableLendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off ...

Senior Python Developer | Fully Remote | 6 Months | Build a New Multi-Asset Security Data Platform | Python, PostgreSQL, Pandas/Polars The Opportunity We're looking for a Senior Python Developer to join a data-focused team working on a new Security Master platform for a financial services client. The project … wider technical stakeholders. Develop robust, maintainable and scalable Python solutions. Work with relational databases, particularly PostgreSQL . Use modern Python data tools such as Pandas and/or Polars . Contribute to development workflows using Git and Jira . Help ensure data quality, consistency and reliability throughout the platform. What ...

practical applications Familiarity with machine learning frameworks, model deployment and inference technologies Experience using Python data and matrix manipulation libraries such as NumPy and pandas This company highly values a top academic history, so is looking for a 1st or 2:1 degree in Computer Science, Mathematics, Physics, Engineering, Machine … Integration Engineer/Python/Large Language Models/LLM/LangChain/LangGraph/PyTorch/ONNX/ONNX Runtime/NumPy/pandas/Machine Learning/Artificial Intelligence/GPU Optimisation/Model Inference/Model Acceleration/Deep Learning/Natural Language Processing/NLP/ ...

About the role We are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the ...

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by ...

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by ...

thrives in a collaborative, supportive team where real impact is encouraged. Skills & Experience Job roles: Back End Core skills considered: Python, FastAPI, SQLAlchemy, Pandas, Numpy What You’ll Be Doing Design, build, and maintain APIs, backend services, and internal systems that support both client-facing features and operational teams Develop … technical discussions, and shared team practices Mentor peers and help grow a high-trust, high-impact engineering culture Python 3.x with FastAPI, Pydantic, SQLAlchemy, Pandas, and NumPy Relational databases: MySQL and PostgreSQL GCP experience is a plus, but not required Modern Middleware is a plus – e.g. Pub/Sub, Memcache ...

Location requirements: Remote, United Kingdom-based. About the Role: BigPanda is seeking a Senior Solutions Architect to join our Professional Services team in EMEA. This is the ideal opportunity for someone with a strong delivery ...