151 to 175 of 252 Pandas Jobs

technologies is highly desirable, including PostgreSQL, MongoDB, and vector databases such as Qdrant, Milvus or pgvector. Experience with Python data-processing libraries such as Pandas or Polars is highly desirable. Nice to Have Experience working on AI or machine learning platforms. Familiarity with stream processing and event-driven architectures. Experience ...

quantitative data role, ideally within financial data or asset management. Strong Python and SQL skills; comfortable manipulating large, wide and messy datasets (e.g. pandas, relational databases). Demonstrated experience in data cleaning, validation and quality assurance. Strong exploratory data analysis skills - able to quickly make sense of an unfamiliar dataset ...

experience developing time-series forecasting and/or optimisation models within a business environment. Strong Python programming skills, including experience with libraries such as pandas and scikit-learn. Experience designing, deploying and maintaining machine learning solutions using modern MLOps practices. Experience extracting, manipulating and analysing data using SQL. Ability ...

keep the technical build strategic. What makes a great candidate Strong proficiency in Python and SQL. Comfortable working with modern data‐processing tools (Polars, pandas, numpy) and orchestration/scheduling frameworks (Airflow or equivalent). Strong grounding in production engineering: CI/CD, containerised deployment (Kubernetes/Docker), monitoring, alerting. ...

every tool listed below, but you should have strong experience with most of them or equivalent technologies. Core Languages & Frameworks Python (Flask, SQLAlchemy, NumPy, Pandas) for services and analytics React, Typescript, Redux for the front end Cloud & Infrastructure AWS (ECS, Lambda, RDS, S3) Docker Linux Data, Messaging & Caching MySQL RabbitMQ ...

complex real-world problems in a professional environment. Programming Fluency: Strong programming skills in Python and SQL plus specific proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost, LightGBM) Domain Knowledge: A strong understanding of cricket and the factors influencing match state outcomes (win probability, expected metrics like ...

Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).• Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).• Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data ...

Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring ...

complex real-world problems in a professional environment. **Programming Fluency:**Strong programming skills in Python and SQL plus specific proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost, LightGBM) **Domain Knowledge:** A strong understanding of cricket and the factors influencing match state outcomes (win probability, expected metrics like ...

services. Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS. Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters. Mentor junior developers in engineering best practices, including ...

evals, designed metrics, or run structured model comparisons, and you can talk about where your own metrics misled you - Strong Python for data work (pandas, numpy, notebooks, and the ability to write code other people can run) - Confident with SQL and relational databases - Solid grounding in statistics and experiment design ...

services.* Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.* Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.* Mentor junior developers in engineering best practices, including ...

services.* Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.* Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.* Mentor junior developers in engineering best practices, including ...

automated testing types (unit, component, smoke, performance, load, end‐to‐end) Familiarity with modern statistical ML and AI tooling, including NumPy, SciPy, and Pandas A track record of collaborating in a fast‐paced agile team, ideally using Scrum Nice to have Experience with PyTorch or other deep‐learning libraries ...

solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with ...

intensive applications in production, with a track record of leading technical initiatives from conception to deployment. Expert-level Python and its data ecosystem (Numpy, Pandas), including designing frameworks for data tasks. Deep understanding of distributed data processing engines like Apache Spark. Ability to reason about the full data lifecycle from ...

packages Experience leading design of large-scale, efficient and performant analytics workflows, including ETL, orchestration, and distributed compute, using industry-standard libraries such as Pandas, Polars, and Dask. Experience with both SQL and NoSQL database platforms, as well as OLAP and OLTP databases An understanding of data structures and common ...

quantitative data role, ideally within financial data or asset management. Strong Python and SQL skills; comfortable manipulating large, wide and messy datasets (e.g. pandas, relational databases). Demonstrated experience in data cleaning, validation and quality assurance. Strong exploratory data analysis skills — able to quickly make sense of an unfamiliar dataset ...

Required qualifications, capabilities, and skills Proven experience developing data pipelines and solutions on Databricks. Strong proficiency in Python, including libraries for data transformation (e.g., pandas). Solid understanding of ETL concepts, data modelling, and pipeline design. Experience with Spark and cloud data platforms. Ability to document data flows and transformation ...

experience in **Core Python development (6–10 years)**• Strong **SQL skills** with ability to handle complex queries and large datasets• Experience with **Python libraries (Pandas, NumPy)** for data processing• Experience building **RESTful APIs/services (Flask/FastAPI/Django)**• Strong understanding of **data structures and performance optimization**• Experience working ...

Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with explainability frameworks such as SHAP, LIME, PDP. Ability to communicate technical concepts clearly and influence cross-functional decisions. Familiarity with real-time ...

environment. Nice To Have Node.js and Go experience. Experience with Supabase and Vercel. RAG, MCP, AI Agents, Evaluation Frameworks and AI Product Development. Python, Pandas and data tooling experience. Startup, scale-up or founding engineer experience. Interest in ClimateTech, EnergyTech, Scientific Software or Battery Technology. #J-18808-Ljbffr ...

time-series work Data and ML pipelines built for production, not demos Dashboards and tools that non-technical users can act on Python (Pandas, scikit-learn, PyTorch/TensorFlow), Spark and AWS Why it's worth a look Real operational deployment, not endless proofs of concept Direct contact with ...

Skills and Knowledge Strong programming skills in Python (mandatory), with experience in C++, Java, or similar languages. Proficiency in data handling and analysis using Pandas, NumPy, and SQL. Familiarity with cloud-based solutions and version control (Git). Solid understanding of risk modelling, margin methodologies, and derivatives pricing. Knowledge ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...