46 to 70 of 176 Pandas Jobs

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have (But Not Required More ❯

of the art in machine learning algorithms for text analytics5. Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow6. Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc)7. Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB8. Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim More ❯

Have: 5+ years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks 3+ years of experience with Python and Python tools, including Pandas or NumPy Experience with Large Language Models ( LLMs ) , ML, Deep Learning ( DL ) , and Reinforcement Learning ( RL ) Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, or LangChain Experience More ❯

processing tools and machine learning tools to find, parse, and extract patterns or targeted data sets. Knowledge of some or all of these Python libraries/frameworks: nltk, spacy, pandas, scikit-learn, seaborn, NumPy, scikit-learn, matplotlib, PyTorch, Stanford Core NLP. To be self-motivated with a strong work initiative and attention to detail. A strong customer service, critical thinking More ❯

with interfacing with customer stakeholders to align on requirements and technical implementations Must have: 3+ years of experience with Python Experience with Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Nice to have: Experience with Python ORM More ❯

Requirements 2-4 years' experience in applied machine learning and generative AI, including work with large language models. Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods). Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. A More ❯

up-to-date with emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally with More ❯

Python, PySpark, or other object-oriented development languages Required Skills: 1) Min 5 years of solid Pentaho-specific ETL development experience 2) Min 2 years of Python and PySpark (Pandas are ok, if the developer is very strong otherwise) 3) 3 or more years of development within the CIA or NSA environment. Desired Skills: 3a) Pentaho customized components expertise using More ❯

closely with global colleagues; communicate designs clearly. Requirements AWS data stack, hands on experience: Glue, Airflow/MWAA, Athena, Redshift, RDS, S3. Strong coding skills in Python & PySpark/Pandas & SQL. CI/CD automation: AWS CodePipeline, CloudFormation (infrastructure as code). Architect-level experience: At least 5 years in a senior/lead role. Security-first mindset: Solid understanding More ❯

processes. Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to More ❯

processes. Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to More ❯

processes. Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to More ❯

processes. Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to More ❯

processes. Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to More ❯

a sales & trading environment (market data, order/execution data). Data wrangling: Hands-on experience with large datasets, time-series data, and advanced analytics. Programming: Proficiency in Python (Pandas) and Q/KDB+. Visualisation: Strong Tableau skills-able to turn complex data into actionable dashboards. SQL mastery: Advanced SQL skills; Impala experience is a plus. BI modelling: Experience designing More ❯

basic AI algorithms and explore practical applications of AI. Overview of AI and Machine Learning Types of machine learning (supervised, unsupervised, reinforcement) Introduction to Python Libraries for AI - NumPy, Pandas, Matplotlib Scikit-learn for machine learning Building AI Models Data preprocessing Training and evaluating models Advanced Programming for AI Integration This programme aims to equip participants with the knowledge and More ❯

needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM). Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with SQL/NoSQL databases, APIs, and data integration. Exposure to on-premise/open-source AI frameworks. Strong problem-solving and More ❯

needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM). Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with SQL/NoSQL databases, APIs, and data integration. Exposure to on-premise/open-source AI frameworks. Strong problem-solving and More ❯

s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation More ❯

Flask Create services as part of back-end: message intake and processing pipelines (message flow), REST APIs for front-end, data manipulation (JSON,XML, flat), external services calling. Including Pandas, Pytest, Exception handling, Multithread concepts/Asyncio, gRPC (python microservices concepts) Developing and implementing user interface components using React.js concepts and workflows such as Redux and Webpack. in-depth knowledge More ❯