276 to 300 of 412 Pandas Jobs

of cyber security principles, including threat detection, incident response, and security operations. Technical Expertise: Proficiency in Python, SQL, and relevant data science libraries (e.g., pandas, scikit-learn, TensorFlow) and experience working with SIEM tools like Splunk and Elastic Search. Advanced Analytics & ML: Proven experience in applying machine learning techniques (anomaly More ❯

years Python work experience Any GUI development experience (Qt/PyQt would be ideal) Experience with Python data science libraries such as Pandas, Numpy, and Scipy XMIDAS familiarity C/C++ Code Management (Git would be ideal) Familiarity with the Atlassian tools (JIRA, Stash, Confluence, and Jenkins) and Gitlab Ability More ❯

some combination of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following More ❯

some combination of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following More ❯

of SW development (3-5 Python) Any GUI development experience (Qt/PyQt would be ideal) Experience with Python data science libraries such as Pandas, Numpy, and Scipy XMIDAS familiarity C/C++ Code Management (Git would be ideal) Familiarity with the Atlassian tools (JIRA, Stash, Confluence, and Jenkins) and More ❯

experience with Oracle, SQL Server, and PostGres SQL databases. Technical Skills: Proficiency in at least 2 of the following: SQL, PSQL, C#, Python and Pandas for data manipulation and analysis. Problem Solving: Detail-oriented with exceptional problem-solving skills, capable of troubleshooting issues quickly and efficiently. Communication: Excellent ability to More ❯

/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or Pandas for high-performance data processing. Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization and orchestration using Docker and Kubernetes. Hands-on experience with More ❯

probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas, matplotlib, etc.), and SQL with excellent analytical and algorithmic skills. A proven record for successful implementation of translating business requirements into a technical solution. Multi More ❯

/or geospatial analytics Proven ability to analyze data and translate analysis into meaningful insights Comfortable with standard ETL and data cleansing processes in pandas or similar Proficiency in one or more programming languages, preferably including Python Demonstrated ability to manipulate large data sets into user-friendly formats for stakeholder More ❯

CD, or AWS CodePipeline Experience with Infrastructure as Code (IaC) tools, including Terraform or AWS CloudFormation Experience in working with data manipulation libraries, including Pandas, and data serialization formats, including JSON and XML Knowledge of SaaS, PaaS, and IaaS models Knowledge of networking concepts and AWS networking services, including VPC More ❯

in a dynamic, fast-paced environment; retail focus preferred. You have experience extracting data from databases using SQL and analysing data using Python (NumPy, Pandas, etc.). You have a bachelor degree in a quantitative subject. You are capable of acting as a trusted advisor when presenting data and insights More ❯

the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid More ❯

visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent written and verbal communication skills including the ability to present technical information and to write structured technical More ❯

a team, coordinating others, and managing several research projects simultaneously. Fluency in one or more data science programming languages (R, Python with NumPy/pandas, etc., Julia) with experience in writing documentation. Excellent written and verbal communication skills, particularly with wider stakeholders and across disciplines. Proven time management skills across More ❯

dynamic network analysis). Expertise in maintaining and deploying a notebook-based data science environment (JupyterHub). Experience in advanced Python data science packages (Pandas, NetworkX, Scikit-Learn, PyTorch or TensorFlow/Keras, Matplotlib or Plotly, etc.) _ Compensation ranges encompass a total compensation package and are a general guideline only More ❯

visualizing, analysing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent written and verbal communication skills including the ability to present technical information and to write structured technical More ❯

in a data-driven role, 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 More ❯

coders with a demonstrable ability to realise their ideas; some knowledge of Python is essential, including the use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and More ❯

coders with a demonstrable ability to realise their ideas; some knowledge of Python is essential, including the use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and More ❯

and non-technical stakeholders REQUIREMENTS credit risk modeling/data science role, ideally in fintech, banking, or consumer lending Strong Python and SQL skills (Pandas, Scikit-learn, etc.) Solid understanding of credit risk modelling, statistical methods HOW TO APPLY Please apply below... More ❯

and non-technical stakeholders REQUIREMENTS credit risk modeling/data science role, ideally in fintech, banking, or consumer lending Strong Python and SQL skills (Pandas, Scikit-learn, etc.) Solid understanding of credit risk modelling, statistical methods HOW TO APPLY Please apply below... More ❯

data solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. More ❯

required • 3-7 years of experience in data science, preferably within national security contexts • Proficiency in Python and core data science tools (e.g., NumPy, pandas, scikit-learn, PyTorch/TensorFlow) • Experience working in secure, classified environments • Ability to translate ambiguous operational needs into structured analytic tasks Preferred Experience • Familiarity with More ❯

data solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. More ❯

Requirements Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). Strong Python skills, especially with libraries like Numpy, Pandas, and Polars. At least 5 years of Python development experience. Excellent problem-solving skills and ability to work well in a fast-paced, collaborative environment. More ❯