201 to 225 of 273 Pandas Jobs

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 ...

with any further professional qualifications being welcome. Strong programming skills in Python and SQL. Experience and exposure to data analytics libraries such as numpy, pandas, scipy, cvxpy. Experience with queries and familiarity with stored procedures. Familiarity with code version control tools such as GIT or similar, and ideally experience with ...

ServiceNow), asset management tools, procurement platforms, licence management tools (Snow, Flexera), and infrastructure monitoring (Datadog, Dynatrace, SolarWinds) Data modelling and analytics: SQL, Python/Pandas for cost data analysis; experience building normalisation pipelines and cost allocation engines Dashboard and reporting tools: Power BI, Tableau, Grafana, or custom BI solutions ...

live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). ...

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 ...

experience building and deploying machine learning models into production environments where accuracy and reliability are critical. Advanced Python skills, including hands-on experience with pandas and scikit-learn. Strong statistical reasoning and a structured approach to model evaluation and validation. Ability to clearly explain model performance, evaluation methodology, and known ...

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 ...

domain-relevant properties, characterisation techniques, and substance or material selection processes. Proficiency in data analysis and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn), R, or similar. Experience with database management systems (SQL or NoSQL).Familiarity with scientific databases and ontologies (e.g., Materials Project, ChEMBL, PubChem ...

data so you will need to understand how to develop your own modelsStrong programming skills and experience working with Python, Scikit-Learn, SciPy, NumPy, Pandas and Jupyter Notebooks is desirable. Experience with object-oriented programming is beneficialPublications at top conferences, such as NeurIPS, ICML or ICLR, is highly desirableWhy should ...

mindset. Curiosity and willingness to develop new technical skills. Desirable Criteria Relevant Master's or PhD qualification. Experience using Python, particularly libraries such as Pandas and GeoPandas. Experience with scripting or automation within hydraulic modelling software. Experience of software engineering, data science or analytics within the wastewater sector. Familiarity with ...

within the rail , energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

within the rail , energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

business clientsFull SDLC process experienceExcellent communications skills, both written and verbalBonus Points: Experience with the Go Lang eco-system tools and librariesExperience with Pandas and PySpark libraries would be a plusTechnical experience with Databricks or any similar Delta Lake platforms. Experience working with large datasetsExperience with AWS cloud deployments ...

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...

done, particularly applying them to real analytical tasks tied to business outcomes. Experience with Python for data work: analysis, scripting, and automation; comfortable with pandas, Jupyter, or similar tools. Able to build reporting that spans multiple data sources with knowledge on how to join pieces of information like Salesforce data ...

tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modelingStrong Python skills, including working with LangChain, HuggingFace Transformers, and data pipelines (Pandas, DVC, Weights & Biases)Comfortable defining and tracking generation quality with eval metrics like BLEU, ROUGE, and building editorial-specific evaluatorsExposure to STT/TTS tools ...

applications over large amounts of data using technologies like React, Angular, JavaScript etc. Experience implementing process improvements and automation Strong Python development skills (including Pandas and related data-processing libraries). Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive Exposure to quantitative modelling or financial modelling ...

research environment. Experience with web scraping or web-archive research (e.g., httpx, BeautifulSoup, the Wayback Machine). Experience with data-analysis tooling such as pandas, Polars, or SQL-based analytics (e.g., BigQuery). Familiarity with Git and modern development workflows (branches, pull requests, code review). Training and Development Patlexa ...

inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others. Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‐making under pressure. Travel to customer sites ...

will mentor junior colleagues, define data science approaches, and ensure delivery rigour while building deep client relationships. You should be fluent in Python (NumPy, Pandas) and PyTorch, with strong leadership, project planning, and commercial awareness to translate complex problems into rigorous mathematical solutions. #J-18808-Ljbffr ...

Mathematics or Computer Science 3–5 Years of experience with Python, including writing and managing code releases Familiarity with numerical Python libraries such as Pandas and Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation of best practices Nice to have: experience with SQL databases ...

Science, Mathematics, Physics, Engineering, or a related field. Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc. Quantitative Skills: Solid understanding of quantitative finance and statistical methods. Trading Knowledge: Familiarity with the trading process and financial markets. System ...

stack developer you will have some demonstrable experience in front-end technologies (HTML5, CSS3, Javascript/AngularJS)You 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 ...