251 to 275 of 617 Pandas Jobs

modeling, and machine learning techniques, preferably in financial services or wealth management. Proficiency in programming languages such as Python, R, or Java, and familiarity with data analysis libraries (e.g., Pandas, NumPy, scikit-learn). Strong understanding of database technologies and SQL proficiency for data manipulation and querying. Excellent analytical, statistical, and problem-solving capabilities. Ability to effectively convey complex technical More ❯

You will work closely with Traders, Salespeople, and Strats across asset classes to produce insights that promote platform adoption and deliver relevant, timely content. Technologies used include Python, Jupyter, Pandas, Trino, and SQL. RESPONSIBILITIES AND QUALIFICATIONS Passion for designing and implementing programmatic solutions to client needs Excellent programming skills in languages like Python Knowledge and experience in data science and More ❯

Azure data services (Apache Spark, Azure Data Factory, Synapse Analytics, RDBMS such as SQL Server) Proven leadership and management experience in data engineering teams Proficiency in PySpark, Python (with Pandas), T-SQL, SparkSQL, and experience with CI/CD pipelines Strong understanding of data modeling, ETL processes, and data warehousing concepts Knowledge of version control systems like Git Excellent problem More ❯

gRPC, or WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and we will be in More ❯

recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion More ❯

recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion More ❯

e.g., Python, GDAL). Desired Skills: Experience developing geospatial products using manually collected data (e.g., photos, GPS, drones). Experience with data science tools and formats such as SciKit, Pandas, GeoPandas, JSON, and GeoJSON. Knowledge of advanced GIS tools and technologies (e.g., Esri Portal, Tile Servers). Education & Certifications: Bachelor's degree or professional certification in GIS, Geography, Computer Science More ❯

with Strategy Managers and Researchers to develop tools & frameworks that facilitate the day-to-day operation of trading pipelines. They use Amazon S3 for data storage, Python libraries (e.g. Pandas) for data manipulation, Kafka for event-based data transformations, which are deployed using Octopus Deploy. Familiarity with some or all of these will be beneficial but not essential. This role More ❯

lending strategy (SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience More ❯

lending strategy (SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience More ❯

lending strategy (SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience More ❯

Science, Technology, Finance, Collections, Operations, 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). Knowledge of DBT. More ❯

and P2P data stores (e.g., IPFS) Experience working with third-party smart contract auditors Contributions to open-source projects in Web3 BONUS POINTS Proficiency with Python scientific stack (NumPy, Pandas, Jupyter) Our compensation is blockchain competitive and depends on your skills & experience. Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Location (City) Resume/ More ❯

in relevant disciplines (engineering, mathematics, physics, statistics) Experience in finance, insurance, or e-commerce data science Experience deploying in cloud environments Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas Experience with API development, SQL, software engineering, CI/CD Diversity and Flexible Working At Hiscox, we value our people. We hire the best for the role and are committed More ❯

experience in finance, with a focus on equities. A background in company research or quantitative research is a plus Experience with Python, in particular using standard libraries such as Pandas and Numpy. Python will be a core part of your development environment Experience working with financial datasets of various kinds. Experience carrying out independent and original research Strong econometric and More ❯

data concepts effectively and confidently Build great relationships with Data Science, Technology, Finance, Collections, Ops and other stakeholders What you'll need Excellent SQL skills Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc) A drive to solve problems using data Experience in a management role What would be a bonus: Familiarity with Git Data visualization tool More ❯

personally conduct data-driven analysis 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 modelling is a plus. Familiarity More ❯

personally conduct data-driven analysis 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 modelling is a plus. Familiarity More ❯

and customers 3+ years of experience involving data analytics, machine learning models and AI principles and application in implementation and practical delivery. Experienced in Python development and tooling including Pandas, Scikit-learn or equivalent. A third level qualification in Computer Science, Software Engineering, Data Science or other related discipline. Experience with data exploration and visualisation. A theoretical and practical foundation More ❯

contribute to classified programs and technologies you are passionate about. Our small agile teams adapt to evolving customer and warfighter needs. Candidates must have extreme fluency in NumPy and pandas This is a 12 Month full time Contract or Contract to hire opportunity. Active Top Secret Clearance What You Will Do: MLOps, Model Engineering, Training on time series data. After More ❯

Networks) on small and large datasets. Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML More ❯

in computer science , Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL (joins, aggregations, CTEs and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills More ❯

s or PhD degree in 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 ability to present complex data More ❯

NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Knowledge of open source datasets and benchmarks in NLP/Computer Vision Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod More ❯

for you if: Proficiency in Python for API and model development, including frameworks like Sklearn, Pytorch, and TensorFlow. Understanding of machine learning techniques. Experience with data manipulation libraries (e.g., Pandas, Spark, SQL). Experience with version control (Git). Cloud experience (Azure, GCP, AWS). Additional desirable skills include: Modeling experience in industry-relevant use cases. Familiarity with MLOps environments. More ❯