251 to 274 of 274 Permanent Pandas Jobs

a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.) The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional More ❯

keen to engage in the design processes this involves. Specifically: • You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. • You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. • You are keen to understand the data we More ❯

You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools You are comfortable writing clear, efficient SQL for extracting, cleaning, and preparing datasets More ❯

with modern data processing tools, e.g. by using Hadoop/Spark/SQL Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualisation technologies. Experience in retail sector would be an added advantage What you can expect from us We won't just meet your expectations. We More ❯

data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. Familiarity with data manipulation libraries such as Pandas and NumPy. Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Excellent problem-solving skills and attention to detail. Ability to work effectively both independently and as part More ❯

data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. Familiarity with data manipulation libraries such as Pandas and NumPy. Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Excellent problem-solving skills and attention to detail. Ability to work effectively both independently and as part More ❯

similar area. Experience in applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python and using common libraries (numpy, pandas, sklearn, pytorch/tensorflow, etc.) Experience building robust ML and data science pipelines. Experience with git version control, with familiarity of different branching and merging strategies. Compensation & Benefits At Insmed More ❯

REST APIs, etc.). Tuning algorithms and data pipelines for optimal performance when required. Your profile You tick the following boxes: Proficiency in Python and its data science stack (pandas, scikit-learn, Jupyter, Luigi, etc.). Strong knowledge of data mining and machine learning. Experience with optimization algorithms is a plus. A passion for writing clean, maintainable, and robust code. More ❯

Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical fieldpreferred A professional with 5+ years experience with Python. Knowledge of NumPy, Pandas, Scikit-learn, and Networkx is an extra bonus! Experienced working directly with external customers (ideally in a consulting role) to identifyrequirements and consult on solutions to complex business problems Experienced More ❯

merging, and deduplication, adept at transforming raw data into a unified and reliable asset. Projects natural confidence in communication and has strong stakeholder management skills. Has strong proficiency with Pandas, Numpy, PySpark or similar for Data Analysis & Cleaning Python Maintains a solid knowledge of both Automation tools, & other emerging technologies including AI platforms & LLM's. Organised, meticulous & attention to detail More ❯

products The ability to extract the essence from complex matters and explain it simply Being inquisitive and ensuring decisions are data-driven Expertise working with large datasets using Python (Pandas) or SQL A solid understanding of credit policy governance framework and the ability to work through the second/third line of defence in a competent manner The ability to More ❯

manipulation; high proficiency in Excel/Google Sheets; experience with BI/visualization tools (e.g., Tableau, Looker, Power BI). Desirable: Experience with Python (for data analysis libraries like Pandas, NumPy) and/or Google Apps Script for automation and integration. Analytical Rigor: Strong quantitative and analytical skills, with expertise in A/B testing, statistical analysis, and experiment design. More ❯

will set and optimise prices, using statistical techniques and bespoke modelling solutions. A Data Scientist (Pricing) will need to: Build prototypes and conduct in-depth experimentation using Python and Pandas Research and develop new pricing models Apply statistical and machine learning techniques Explore and test data-driven approaches to price sensitivity and elasticity Collaborate with a highly technical team YOUR … SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are More ❯

will set and optimise prices, using statistical techniques and bespoke modelling solutions. A Data Scientist (Pricing) will need to: Build prototypes and conduct in-depth experimentation using Python and Pandas Research and develop new pricing models Apply statistical and machine learning techniques Explore and test data-driven approaches to price sensitivity and elasticity Collaborate with a highly technical team YOUR … SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are More ❯

code written in Python. This 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 REST API's Any of More ❯

Data Analyst include: Education: Bachelor's degree in relevant field Experience: Minimum 3 years of related experience Skills and Abilities: Strong Data Modeling & analysis (familiarity with Databricks, Python/Pandas, SQL etc) Proficiency with Relational Databases (Microsoft SQL Server preferred) Proficiency with Version Control, such as GitHub or Azure DevOps Proficiency in Power BI and Excel Compensation for Data Analyst 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 ❯

Required Qualifications: Active TS/SCI clearance with polygraph required to start. 5+ years working with Python especially with creating Jupyter notebooks and working with core data science libraries (pandas, scikit-learn, matplotlib, and others). 1+ year experience working with Unix environments including common terminal commands 1+ year experience with Git and GitHub and using it collaboratively as part More ❯

pricing strategy alongside product and business teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master's with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently on complex mathematical problems. - Research-led mindset with a passion for optimisation. Desirable: - Experience with More ❯

the globe. We are seeking a talented Data Engineer to join our team. As a Data Engineer, you will work with a variety of technologies including Python, Py-Spark, Pandas, SQL and Azure DevOps. You will be responsible for modeling and implementing predictive maintenance solutions for our products, specifically focusing on jet engines. Responsibilities Collaborate with stakeholders to understand data More ❯

validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications: M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field. More ❯

/ANNs Experience with Retrieval Augmented Generation/RAG/Agentic AI Desired Qualifications (Highly requested, but not mandatory): Be very comfortable using standard data science libraries including Keras, Pandas, and Scikit-Learn Have a solid understanding of classical NLP principles and concepts including lemmas, tokenization, and general text processing Be proficient preprocessing text using regular expressions, NLTK, SpaCy Have More ❯

Master's in Data Science, Computer Science, Mathematics, Statistics, Sports Science, or a related field. Additional Qualities We Value: Experience working with large datasets and using tools such as Pandas, Scikit-Learn, or similar. Any experience training or implementing Large Language Models and related generative AI technologies would be a plus. Strong time management skills and the ability to break More ❯

Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯