126 to 150 of 155 Permanent Pandas Jobs

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯

Or a Bachelor's degree with at least 2 years of relevant experience -Strong proficiency in Python and object-oriented programming languages, with demonstrated experience using libraries such as Pandas and GeoPandas for data manipulation, automating complex workflows, and integrating solutions with cloud services -Hands-on experience applying AI/ML techniques for feature extraction, data enrichment, and predictive analytics More ❯

industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model More ❯

state-of-the-art areas (e.g. NLP, Transfer Learning) and modern Deep Learning algorithms (e.g. BERT, LSTM) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit-Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling missing data) Solid understanding of statistics; hypothesis testing, probability distributions, sampling techniques Private Health Care More ❯

Or a Master's degree with at least 5 years of relevant experience -Strong proficiency in Python and object-oriented programming languages, with demonstrated experience using libraries such as Pandas and GeoPandas for data manipulation, automating complex workflows, and integrating solutions with cloud services -Hands-on experience applying AI/ML techniques for feature extraction, data enrichment, and predictive analytics More ❯

scientist role) Knowledge, Skills, and Abilities Experience in using Machine Learning, AI, and other data science technologies. Strong and demonstrable experience with programming languages such as Python (used NumPy, Pandas, etc.). Strong knowledge of data architectures and systems - SQL and others for ETL purposes. Strong knowledge of DevOps, particularly using the Repo and pushing and pulling source code with More ❯

Science, Computer Engineering, or a related field. Proficiency in an object-oriented language like Java, C++, C# is a strong plus; together with exposure to SQL and Python (especially Pandas). Familiarity with optimization solvers (e.g., CPLEX, Gurobi, FICO Xpress). Experience with relational databases, cloud-computing environments, ETL processes, and reporting/BI tools. Strong theoretical and practical background More ❯

analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goalsExperience with big data and scalable model training More ❯

proficiency in SQL and Pythonfor data analysis and manipulation (experience with Snowflake, R, GitHub, and Jira is advantageous but not required) Knowledge of the following Python modules is advantageous: Pandas, scikit-learn and statsmodels Experience delivering actionable insights that contribute to business change or impact Proven ability to translate complex data into clear, compelling narratives, evidenced through data storytelling or More ❯

lifecycle. Experience with APIs or working with different data sources. Desirable: Experience with Azure technologies . Certification in Power BI/Data Engineering , Azure fundamentals . Familiarity with Python, Pandas, or ML concepts (a plus, but not required ). Worker Type: Employee About Us Cubic creates and delivers technology solutions in transportation that make people's lives easier by simplifying More ❯

and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn Tooling & Environment : DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked More ❯

underwriting, fraud, and customer conversion. It’s a hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Experience in behavioural or credit modelling Solid understanding of ML algorithms, drift, and monitoring Ability to communicate clearly across technical and non-technical teams Strong data More ❯

underwriting, fraud, and customer conversion. It’s a hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Experience in behavioural or credit modelling Solid understanding of ML algorithms, drift, and monitoring Ability to communicate clearly across technical and non-technical teams Strong data More ❯

underwriting, fraud, and customer conversion. It’s a hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Experience in behavioural or credit modelling Solid understanding of ML algorithms, drift, and monitoring Ability to communicate clearly across technical and non-technical teams Strong data More ❯

underwriting, fraud, and customer conversion. It’s a hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Experience in behavioural or credit modelling Solid understanding of ML algorithms, drift, and monitoring Ability to communicate clearly across technical and non-technical teams Strong data More ❯

underwriting, fraud, and customer conversion. It’s a hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Experience in behavioural or credit modelling Solid understanding of ML algorithms, drift, and monitoring Ability to communicate clearly across technical and non-technical teams Strong data More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

years, bachelor's with 8 years, master's with 6 years, or PhD with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain complex data More ❯

DTS is looking for AI Developer for our direct client Position in Lansing, MI. Top Skills & Years of Experience: 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. 3+ years in microservices. 3+years in SpaCy, NLTK, or Hugging Face's 3+years More ❯

Maintain and extend the firms core research platform software: o Design, implement and maintain software for strategy optimization, post-trade analysis and strategy PnL performance investigation, and visualization; o Complete automated electronic trading strategy reconciliation and performance monitoring; o Investigate More ❯

tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment. Responsibilities Collaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio … to analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration … Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large More ❯

tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment. Responsibilities Collaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio … to analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration … Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large More ❯