351 to 375 of 621 Pandas Jobs

relevant insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who More ❯

relevant insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who More ❯

and reporting workflows Present clear, actionable pricing insights to commercial and executive stakeholders Must-Haves Master's in Statistics, Econometrics, Data Science or related quantitative field Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale data manipulation Proven track record running A/B tests or causal analyses on pricing levers Excellent communication-able to explain complex 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 ❯

science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required including cleaning and managing data. Experience in data visualisation and communication. Experience with working with raw datasets and perform data wrangling More ❯

and reporting workflows Present clear, actionable pricing insights to commercial and executive stakeholders Must-Haves Master's in Statistics, Econometrics, Data Science or related quantitative field Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale data manipulation Proven track record running A/B tests or causal analyses on pricing levers Excellent communication-able to explain complex More ❯

to ensure the team delivers the highest standards of analysis and reporting to key stake holders Numeric degree ideally to Masters level (min 2:1) Working knowledge of Python, Pandas, NumPY, PyTest, Java and R Understanding of machine learning techniques, such as clustering, classification, and regression Previous experience presenting information to key stakeholders Nice to haves...... Previous experience using Generalised More ❯

Skills/Qualifications: Recently graduated or graduating by summer 2025 with a good numerate degree Practical experience with statistics and machine learning Strong Python programming skills, with knowledge of Pandas, Numpy and Scipy Experience with SQL A track record of using data to solve complex problems Knowledge and interest in sports, gambling and trading will be helpful Company Overview Pythia More ❯

finance role is advantageous Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering. Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy Demonstratable interest in financial markets and the application of data in its analysis and understanding Experience working with both traditional and alternative financial datasets Excellent communication skills, with More ❯

comply with data security and governance standards. Data Scientist experience we’re looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with More ❯

Develop assay templates and improve data handling processes for screening studies Train end-users and ensure smooth adoption of informatics solutions About You Strong programming skills in Python (using pandas, numpy) Experience with cheminformatics APIs (preferably RDKit) Background in relational database development (Oracle preferred) with schema design, ETL, and data warehousing Experience in drug discovery/biotech/pharma research More ❯

with CI/CD tools and version control systems (e.g., GitHub Actions).You have an understanding of Infrastructure as Code (e.g. CloudFormation)Interest in developing analytical skills using polars, pandas or SQLExperience working with cloud infrastructure (e.g. AWS Lambda). #J-18808-Ljbffr More ❯

macro trading. Proficient in Python development, Devops, and Linux environments. Expert experience data pipeline development, specifically ETL/ELT pipelines. Familiarity with data analytics tools and libraries, such as Pandas and NumPy. Skilled with relational and non-relational database management. Ability and willingness to collaborate with traders and analysts in a real time environment. Strong analytical and problem-solving abilities. More ❯

ideally in defence, intelligence, law enforcement, or government. Active EDV/UK*C security clearance. Proficient in Python and/or R, with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong statistical, mathematical, and data modelling skills. Experience with data visualisation tools (e.g., Power BI, Tableau, matplotlib, Plotly). Familiarity with big data tools More ❯

maximise impact and utility. Your Profile: 6+ years of software development experience, with at least 4 years specifically in building and deploying ML/AI systems. Proficient in Python (pandas, PyTorch, scikit-learn) and comfortable with modern backend stacks (Typescript, Node.js, Go). Experienced in deploying scalable AI models using cloud infrastructure (GCP preferred). Knowledgeable in containerisation (Docker) and More ❯

maximise impact and utility. Your Profile: 6+ years of software development experience, with at least 4 years specifically in building and deploying ML/AI systems. Proficient in Python (pandas, PyTorch, scikit-learn) and comfortable with modern backend stacks (Typescript, Node.js, Go). Experienced in deploying scalable AI models using cloud infrastructure (GCP preferred). Knowledgeable in containerisation (Docker) and More ❯

maximise impact and utility. Your Profile: 6+ years of software development experience, with at least 4 years specifically in building and deploying ML/AI systems. Proficient in Python (pandas, PyTorch, scikit-learn) and comfortable with modern backend stacks (Typescript, Node.js, Go). Experienced in deploying scalable AI models using cloud infrastructure (GCP preferred). Knowledgeable in containerisation (Docker) and More ❯

systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯

systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯

systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯

systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯

systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯

systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯

degree in Computer Science (or related field). 3+ years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL/NoSQL databases More ❯

Statistics, Engineering). 3+ years of professional experience in Data Science or Quantitative roles within finance. Proficiency in Python and SQL with exp. in data processing libraries such as pandas/numpy. Experience with machine learning frameworks and statistical analysis tools. Familiarity with financial data sources, APIs, and data modelling techniques. Ability to design, implement, and maintain scalable data pipelines More ❯