251 to 275 of 386 Pandas Jobs

eligible for full-time roles in 2027Experience programming in Python and/or C++Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLABA passion for applying quantitative models and technology toward solving real-world problemsBrilliant analytical and problem-solving skillsAbility ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

related program) who is eligible for full-time roles in 2027Fluency in PythonExperience with statistical analysis, numerical programming, or machine learning in Python,Pandas/Numpy, R, and/or MATLABBrilliant analytical and problem-solving skillsAbility to work creatively and independently on long-term technical problemsBase salary ...

programming with Java, C++ or another object-oriented language Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

skills, with the ability to query, join, and manipulate large and complex datasets Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy) Ability to understand new datasets quickly and extract meaningful insights. Experience working with large, complex datasets across multiple sources. Proficiency in data visualisation tools ...

consider a reasonable commute to be no longer than 1.5 hours each way) Demonstrable proficiency in Python, including the use of relevant libraries (NumPy, pandas, etc.). For example, a PCAP certification or equivalent, professional experience or meaningful academic experience. Experience in: Using data analysis tools (e.g. Power BI, Tableau ...

Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit ...

quant research and/or ML/Deep Learning platforms. Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles ...

deep learning techniques, with hands‐on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production‐ready models and data pipelines. With at least 1 year industry experience (post ...

observability CI/CD via AWS CodePipeline Grafana dashboards and CloudWatch alarms Product and analysis Databricks SQL, dashboards and notebooks for reporting Jupyter, numpy, pandas, plotly for investigation Cursor, Copilot, and a healthy amount of custom scripting How we work Small, highly collaborative team with high trust and high ownership ...

observability CI/CD via AWS CodePipeline Grafana dashboards and CloudWatch alarms Product and analysis Databricks SQL, dashboards and notebooks for reporting Jupyter, numpy, pandas, plotly for investigation Cursor, Copilot, and a healthy amount of custom scripting How we work Small, highly collaborative team with high trust and high ownership ...

8+ years of Python experience to lead the design and development of scalable data pipelines and enterprise Python applications. You will work with NumPy, Pandas, BeautifulSoup, Selenium, SQL (PostgreSQL), Spark, and cloud platforms such as AWS S3 and Azure Databricks, in an Agile environment across multiple time zones. You will ...

like PostgreSQL, and familiarity with cloud platforms such as AWS and Azure. Ideal candidates will have strong skills in Python libraries including NumPy and Pandas, along with experience in DevOps practices using CI/CD pipelines. This position offers a hybrid work environment based in Greater London. #J-18808-Ljbffr ...

role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with ...

software design; Practical experience with classical machine learning techniques and awareness of natural language processing and deep learning; Strong Python skills and experience with Pandas, scikit-learn and Jupyter; Experience with SQL and data pipelines for preparing and transforming training data; Understanding of model evaluation, monitoring and performance improvement ...

communication skills with ability to translate data into business insights Desirable Fintech or financial services experience (payments, FX, risk, or treasury) Python experience (e.g. pandas, automation, modelling) Experience with financial metrics (revenue, forecasting, unit economics) Strong commercial mindset and attention to data accuracy What’s on Offer Competitive salary ...

knowledge of RDBMS (Postgres) & NoSQL (Elasticsearch)Good understanding of RESTful APIsGood knowledge of software version control with gitYou will gain exposure to NumPy, SciPy, pandas, IPython and other Python libraries with ability to source, clean and manipulate large data sets as well as google mapping. You will be joining ...

lake, data warehouse, data pipelines, analytics & business intelligence Power BI calculation groups, bookmarks, semantic model incremental refresh Tabular Editor Excel dynamic array functions Python, Pandas, NumPy, Matplotlib Sage 200 Linnworks Peoplevox Google Analytics (GA4) Working arrangements: 5 days a week, onsite, Salford, Manchester. They are looking for an experienced Data ...

Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with explainability frameworks such as SHAP, LIME, PDP. Ability to communicate technical concepts clearly and influence cross-functional decisions. Familiarity with real-time ...

Time Series Analysis (ARIMA and exponential smoothing); Experimental Design and A/B Testing; Bayesian Statistics (basic modeling and inference); Python for Analytics (NumPy, Pandas, and SciPy); R for Statistical Computing; SQL for Data Extraction and Transformation; Automation; Data Analysis; Microsoft Excel, PowerPoint, and Word; Data Cleaning and Preprocessing Techniques ...

data science, statistics or business intelligence supporting AI and ML work within clinical research, pharma, CRO or medical device environments. Deep Python capability across pandas, numpy, scikit learn, scikit survival, matplotlib, seaborn and shap, with disciplined use of virtual environments and version control. Strong grounding in machine learning methods ...

proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that ...

proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that ...

scripting A commitment to writing testable, maintainable code. Advanced to expert level python development skills, including use of data analysis packages such as Numpy, Pandas, etc. Experience with SQL and/or other database technologies Knowledge of modern technologies such as AWS, Airflow, Docker, GitLab and Redis Ideally working with ...