226 to 250 of 274 Permanent Pandas Jobs

customer focus with proven ability to drive complex technical issues/challenges to closure Experience in one or more of the following tools/libraries: TensorFlow, Keras, PyTorch, NumPy, pandas, scikit-learn, Matplotlib Experience in one or more of the following areas: system analysis, requirements development, algorithm design, or modeling and simulation CLEARANCE: U.S. Citizenship required More ❯

Strong understanding of data warehousing concepts, data modeling techniques, and data mining principles. Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Pandas, Scikit-learn, TensorFlow). Experience with data visualization tools such as Tableau or Power BI. Familiarity with Agile methodologies and MBSE principles is a plus. Excellent communication, interpersonal, and presentation More ❯

different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g., planning, time management) Strong problem-solving and analytical skills High attention More ❯

using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Strong problem-solving and analytical skills High attention More ❯

analysis. Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R. Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib). Ability to talk the language of statistics, finance, and economics a plus. Profound knowledge of the English language. In a changing world, diversity and inclusion are More ❯

and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn Tooling & Environment: ○ DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked More ❯

and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn Tooling & Environment: ○ DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked More ❯

Power BI dashboards and reports to support business decision-making. Collaborate with stakeholders to gather requirements and translate them into technical solutions. Perform basic data analysis using Python (e.g., pandas, matplotlib) when needed. Ensure data quality, governance, and documentation across all solutions. Provide training and support to end users on BI tools and data literacy. REQUIREMENTS Previous experience as a More ❯

accuracy at all times. Skills & Experience Essential Skills and Experience PRodxperience in the UK consumer credit industry in a hands-on analytical role. Strong SQL and Python skills (including Pandas). Deep understanding of credit industry data sources, including data shared with and returned by credit bureaus. Knowledge of UK regulatory frameworks, including FCA guidelines, that govern data processing and More ❯

multimodal foundation models and generative AI frameworks' exploration, development, and implementation. Extensive experience with common machine learning Python frameworks such as TensorFlow and PyTorch; and Python libraries such as pandas, and computer vision libraries such as OpenCV. Experience in ONNX and TensorRT. Very comfortable working in Linux environment. Familiarity with software development tools and agile development practices. 6 years experience More ❯

and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn Tooling & Environment: DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked More ❯

Masters with 6+ years of prior relevant experience. Experience with research and hands-on development of data science solutions for cyber and other domains. Proficient in MySQL, Python. GitLab, Pandas Strong technical writing and communication skills Excellent analytical, problem-solving, and critical thinking skills and ability to work independently on complex tasks and lead technical efforts. Stay ahead of emerging More ❯

Query, XLOOKUP, macros) Experience with Power BI/Fabric Strong problem-solving and critical thinking abilities Excellent communication skills and stakeholder engagement experience Familiarity with Python for data analysis (pandas, NumPy, etc.) - desirable Understanding of data warehousing, ETL, and data governance - desirable Degree in a STEM subject - nice to have Knowledge of the energy/utilities sector - a bonus Benefits More ❯

or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a lead or manager role preferred Strong fluency in SQL, Python (pandas, scikit-learn, or similar), and CRM experimentation. Experience with A/B testing frameworks, holdout design, and incrementality measurement. The essential duties and responsibilities described above are not a comprehensive More ❯

developing Snakemake or Nextflow pipelines deployed in local and/or cloud environments Solid understanding of molecular biology and sequencing technologies (Illumina, Oxford Nanopore) Proficiency in Python (including numpy, pandas, biopython, Jupyter) and Conda environments Familiarity with Docker/Singularity, Git, and Linux shell scripting Strong knowledge of core sequence analysis concepts (alignment, assembly, QC) Experience with large-scale genomic More ❯

experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision More ❯

experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision More ❯

BigQuery, GCP). Interest in public opinion, politics, or social science research. An eye for design and clarity in visualising data and outputs. Solid working knowledge of Python (e.g. pandas, scikit-learn), or willingness to expand into Python when needed. Who you are (mindset) Experienced data scientist with 3+ years in public opinion, polling, or research consultancy, and you excel More ❯

We prefer candidates to hold at minimum a Masters degree. We have multiple openings! -Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow -Strong background in database management solutions, familiarity with databases such as MySQL and Oracle -Large-scale data processing and implementing batch processing pipelines in HPC or cloud architecture More ❯

We prefer candidates to hold at minimum a Masters degree. We have multiple openings! -Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow -Strong background in database management solutions, familiarity with databases such as MySQL and Oracle -Large-scale data processing and implementing batch processing pipelines in HPC or cloud architecture More ❯

of statistics, such as distributions, hypothesis testing and regression. •Experience of or a willingness to learn coding languages, particularly sql and Python (including core data analysis libraries such as Pandas and NumPy). •Experience creating engaging data narratives and visualisations to tell a story •A curiosity around data, and desire to understand its completeness, quality, usability, and applicability to a More ❯

NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index. • Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity. • Experience applying complex mathematical and statistical concepts. • Experience applying statistical and operations research methods and tools. • Experience employing spreadsheets for data manipulation and visualization. • Developer (MCSD More ❯

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 ❯

to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal More ❯

strong written and spoken English) - experience leading meetings or sessions would be ideal. An understanding of appropriate communication styles for different client seniorities. Experience with Python (and pyspark/pandas/polars), or another programming language would be beneficial. Differentiators We would particularly like to see applicants who: Can demonstrate a strong proactive attitude towards learning, developing, and improving their More ❯