76 to 100 of 117 Pandas Jobs

. Database querying, load, update, and transformation using SQL . Substantial experience with using Python to analyse data using standard analytical libraries such as Pandas and, ideally, with building web apps using Flask . Experience with modern data visualisation platforms , ideally Tableau. Track record of continuous learning and innovative thinking. more »

make a tangible impact in our organization. What experience you’ll need to apply: Solid Python skills with exposure to libraries such as NumPy, PANDAS, spaCy, HuggingFace. Exposure to SQL Experience working in start-up/scale up businesses or small teams. Data visualization experience with either Tableau, Looker or more »

and to get technical feedback for personal growth.The requirementsEssential:Strong problem-solving skills in probability and statistics.Proficiency with data manipulation and modelling tools — e.g., pandas, statsmodels, R.Experience with scientific computing and tooling — e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.Self-driven with the capability to efficiently manage projects end-to-end.Bonus more »

and MSCI Significant experience with building robust data-oriented solutions in Python, including web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management company Experience more »

to add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and abilities: Tech: Python (ScikitLearn, Pandas, Numpy, Scipy) and GCP Hybrid working in London, 3 days a week in the office Desirable: experience mentoring junior team members and reviewing code Must more »

AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined up for later more »

environment Exceptional SQL skills including an appreciation for performance tuning on a variety of database engines Data pipeline development experience in Python (especially using pandas, parsing API responses, posting data to API’s etc.) Excellent analytical and problem-solving skills An appreciation for the big picture while delivering short/ more »

years of professional experience as a python software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge of web more »

performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and more »

to collaborate with industry-leading experts. What You’ll Be Doing Developing and implementing optimisation models using Python. Utilising libraries such as NumPy, SciPy, Pandas, and specialised optimisation libraries like Gurobi. Applying mathematical optimisation techniques to solve complex problems. Formulating and solving Mixed Integer Programming (MIP) and Linear Programming (LP more »

to collaborate with industry-leading experts What You’ll Be Doing Developing and implementing optimisation models using Python. Utilising libraries such as NumPy, SciPy, Pandas, and specialised optimisation libraries like Gurobi. Applying mathematical optimisation techniques to solve complex problems. Formulating and solving Mixed Integer Programming (MIP) and Linear Programming (LP more »

Science Computer Vision Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine more »

Requirements: Minimum of 5 years of hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong programming skills more »

Bayesian inference, Monte Carlo, Random Forest etc. models Experience in data research with strong statistical skills Experience in software design and development using Python, Pandas and SQL/NoSQL Beneficial knowledge of data science packages, sk-learn, scipy, tensorflow, etc. An understanding of the horse racing industry Quantitative Analyst Sports more »

in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one more »

including time series and ensemble models.Experience in manipulating and interpreting data from disparate sources.Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc.Experience with Cloud Computing (AWS, GCP, Azure) – Ideally in AWS.Creativity and innovative thinking to explore diverse data sources for improved predictive models.Desirable more »

series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved more »

Python Engineer (APIs,Pandas, NumPy) Innovative tech firm. REMOTE, £40k plus bonus. I'm proud to be working exclusively with a growing technology business who are truly a force to be reckoned with, within their chosen industry. They're looking for a true Python Enthusiast to join their tech team more »

Lambda, Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline more »

UK Engineering firm as a structural or civil engineer You have experience developing applications with Python and an understanding of tools such as Numpy, Pandas, Jinja and PyNiteFEA You have experience of connecting to APIs for commonly used industry software products from providers such as Autodesk, Tekla, CSI or Sofistik. more »

and maintaining cloud Data Warehouses 2+ years’ experience of Snowflake configuration, deployment and maintenance Extensive hands-on experience of using Python commercially (scikit-learn, pandas, numpy, etc.) Extensive hands-on experience of using Azure to import, store, process and archive data If you feel your experience is a fit with more »

techniques, and building and training deep learning models. Creating and handling large datasets including pre-processing steps and familiarity with data manipulation libraries like Pandas, NumPy, and data visualization tools such as Matplotlib or Seaborn. Hands-on experience of building ML solutions for resource-constrained situations and deploying to edge more »

do for insurers, you don’t have to be an actuary though! You’re happy working in Python, ideally you have significant experience using Pandas in Python. Experience using R and R’sTidyverse packages would be beneficial but is not essential Track record of applying statistical and machine learning techniques more »

in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational more »

and integrating web services using REST API’s.Bonus:Familiarity with DevOps practices, including containerisation and CI/CD processesExperience working with predictive models using pandas dataframes.A strong numerate background, i.e. maths, physics, computer science, engineering, or similar.The salaryWe expect to pay from 60,000 - 80,000 for this role. But more »