176 to 200 of 220 Pandas Jobs in England

You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with More ❯

years' experience in a hands-on data science or advanced analytics role. Proven experience with Microsoft Fabricand Power BIin a production environment. Strong skills in Python (e.g. Pandas, scikit-learn, NumPy) or R. Proficient in SQL and working with relational databases. Experience building and deploying statistical or machine learning models. Experience working in cloud environments, preferably Azure. At this point More ❯

analysis of microscopy images Hands-on experience integrating and analysing multi-modal biological data, such as transcriptomics, proteomics, or single-cell data. Proficiency in Python, including libraries such as Pandas, NumPy, scikit-learn Experience analysing deep learning model outputs, especially from vision models and working with biological image embeddings. Ability to evaluate model performance, interpret model outputs, and connect them More ❯

analysis of microscopy images Hands-on experience integrating and analysing multi-modal biological data, such as transcriptomics, proteomics, or single-cell data. Proficiency in Python, including libraries such as Pandas, NumPy, scikit-learn Experience analysing deep learning model outputs, especially from vision models and working with biological image embeddings. Ability to evaluate model performance, interpret model outputs, and connect them More ❯

and open-source contributions. Skills & Experience: Extensive experience as a Senior Data Scientist or in a quantitative academic field. Proficient in Python and core data science libraries (e.g. NumPy, Pandas, Scikit-learn). Familiarity with deep learning tools like PyTorch or TensorFlow. Strong grasp of machine learning, statistics, APIs, and database querying (SQL). Proven leadership as a Data Scientist More ❯

and open-source contributions. Skills & Experience: Extensive experience as a Senior Data Scientist or in a quantitative academic field. Proficient in Python and core data science libraries (e.g. NumPy, Pandas, Scikit-learn). Familiarity with deep learning tools like PyTorch or TensorFlow. Strong grasp of machine learning, statistics, APIs, and database querying (SQL). Proven leadership as a Data Scientist 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 ❯

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 ❯

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 ❯

areas and is willing to develop in the others. For that reason we would especially welcome applications from those with expertise in some of the below: SQL, Spark or Pandas AI frameworks such as Pytorch or Tensorflow Electrical networks or electrical engineering principles such as 3 phase power flow Experience liaising with end users to capture requirements and craft solutions 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 ❯

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 ❯

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 ❯

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 ❯