126 to 150 of 409 Pandas Jobs

Strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar technical fields. Expertise in crafting scalable backend systems using Python and frameworks like Pandas for data analysis. Solid experience working with cloud services (GCP, AWS, or Azure). Proven track record of writing testable code and following modern testing More ❯

Strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar technical fields. Expertise in crafting scalable backend systems using Python and frameworks like Pandas for data analysis. Solid experience working with cloud services (GCP, AWS, or Azure). Proven track record of writing testable code and following modern testing More ❯

of experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment More ❯

relevant experience can substitute for a BS degree) Security Clearance-Current active TS, SCI eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK) Fluency with data extraction, custom translation development, and loading including data More ❯

For Experience – 1-3 years in Machine Learning, Data Science, or a related field Technical Skills – Strong knowledge of Python, SQL, TensorFlow, Scikit-learn, Pandas, NumPy , and experience with predictive analytics, time-series forecasting, and statistical modeling . Business & Strategy – Ability to engage with senior stakeholders , understand business needs, and More ❯

modelling techniques to sporting events. Intermediate programming skills in Python and SQL. Excellent skills manipulating, exploring and analysing data, including with libraries such as pandas, Numpy and Scipy. Experience interacting with databases. A problem-solving growth mindset with the ability to pick up new tools and concepts quickly. Able to More ❯

ambitious team working closely with Java and Data Science teams to build and support infrastructure for Credit Risk Management, using technologies like FastAPI, Pandera, Pandas, and Pydantic. The role involves collaboration, architecture development, code review, and supporting data science infrastructure. Remote work is possible with occasional office visits; based anywhere More ❯

confidently to key stakeholders. We're Looking For Someone Who Has: Proficiency in front-end technologies (e.g., JavaScript, React). Strong skills in Python (Pandas, APIs, etc.). Experience with version control systems, preferably Git. Understanding of cloud services and deployment (e.g., Azure). Familiarity with Agile development practises. An More ❯

is required Preferred: Experience with Java development IDEs (e.g., IntelliJ, Eclipse) Exposure to/basic familiarity with Python libraries for scientific programming (e.g., NumPy, pandas) Experience with Agile development practices Experience with Atlassian tools (Jira, Confluence) Experience with Gitlab Experience with container technologies (e.g., Docker, Kubernetes) Familiarity with ELK and More ❯

Python code into Docker containers as part of a distributed architecture. Requirements: 1-3 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience More ❯

standards. What you will bring: Essential: 5+ years of experience in data science, machine learning, or AI innovation. Strong coding skills in Python (e.g., Pandas, NumPy, TensorFlow, PyTorch) and SQL. Proven experience deploying ML models in production environments. 3+ years in a leadership or mentorship role within AI or data More ❯

leading discussions with customer stakeholders to align on requirements and technical implementations Requirements: 7+ years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience More ❯

and other stakeholders. What you'll need Excellent SQL skills. A drive to solve problems using data. Proficiency with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). More ❯

a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the More ❯

Excel and Python, SQL. Knowledge of agile methodologies/principles is a plus. Working knowledge and comfort level in using Python (inc. Numpy/Pandas) for data analysis. Job Responsibilities: Carry out data analysis using SQL (and Python as needed) for future feature requests. Support day to day application related More ❯

and mission outcomes. Requirements Minimum Qualifications: - 3-5 years of professional experience in Python development. - Strong experience with data processing libraries such as PySpark, Pandas, and NumPy. - Proficiency in API development using Python libraries such as FastAPI. - Hands-on experience with unit testing frameworks including PyTest and mocking strategies. - Demonstrated More ❯

world applications Expertise with MLOps tools and practices (e.g., Docker, CI/CD pipelines, monitoring frameworks). Strong proficiency in Python and libraries like Pandas, NumPy, and scikit-learn, with familiarity in frameworks like TensorFlow or PyTorch being a plus Cloud experience—AWS preferred - including deploying and managing models in More ❯

and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian More ❯

and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian More ❯

and WB. Nice to Have: Strong knowledge and deep experience of toolchains Java SQL JavaScript D3js Bash. Data Processing Hadoop Spark Kafka Hive NumPy Pandas Matplotlib. Mandatory Certification: Microsoft Certified Azure Data Scientist Associate Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree More ❯

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 More ❯

or similar. Technical knowledge of relevant ML performance metrics and how to apply them to monitor models. Strong knowledge of Python (such as numpy, pandas, matplotlib, streamlit, and opencv). Strong knowledge of modern programming paradigms (OOP, functional programming etc). Ability to write clean, robust, readable, error handling and More ❯

and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian More ❯

convolution, attention). Proficiency in Python programming language Expertise in a programming language (Python preferred) Familiar with data processing and analysis tools such as Pandas, NumPy, Scikit-learn, etc. Knowledge of machine learning concepts such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, etc. Experience with applying machine More ❯

and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian More ❯