126 to 150 of 187 Pandas Jobs in London

experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media More ❯

experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media More ❯

experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media More ❯

experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media More ❯

Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯

Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯

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 ❯

models to production Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn etc.) Experience with SQL, Power BI, Git & GitHub Strong knowledge of Machine Learning Algorithms and respective theory Ability to work within a team, collaborating effectively with colleagues Strong More ❯

depth data analyses Delivering insights to diverse audiences Ownership of data streams/projects Collaborating on complex analytical projects Essential skills Data modelling and statistics fundamentals Strong Python skills (pandas, modular code, repositories) GitHub data management Data governance and documentation SQL skills (joins, subqueries, CTEs) Data wrangling best practices Advanced Excel skills Attention to detail and debugging Time management Data More ❯

the data lifecycle - from pipelining to model deployment , Experience with some of the following tools and technologies (or an eagerness to learn): , Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch) , Statistical methods and machine learning (e.g., A/B testing, model validation) , Data pipelining tools like SQL, dbt, BigQuery, or Spark , A strong communicator with More ❯

have experience in some of the following areas: Strong hands-on experience integrating AI/ML APIs into production systems Strong Python skills + comfort with data science libraries (Pandas, NumPy, etc.) Experience with voice-related AI (STT, TTS, or Voice AI) Deep understanding of latency vs accuracy vs cost trade-offs Familiar with prompt engineering and RAG techniques Background More ❯

a data-driven sector analyst in finance; Working proficiency in Python or R; Proficiency in data analysis, data manipulation, and working with large unstructured datasets. Experience with SQL, Spark, Pandas, or other data analysis libraries; Strong mathematical and statistical skills; In accordance with New York City's Pay Transparency Law, the base salary range for this role is More ❯

multiple projects on MMM analytics Experience in pricing and promotion analytics is a plus Must have experience with Databricks Implemented Bayesian regression on python. Exposure to libraries like numpy, pandas, sklearn, pymc3 Hands on experience in PowerPoint/Excel is a must Strong logical, analytical, and problem-solving skills Adept at report writing and presenting findings Excellent verbal and written 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 ❯

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. 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 ❯

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 ❯

Online Analytical Processing (OLAP) systems Creating conceptual, logical and physical data models Creating mapping specifications for data migrations Coordinating User Acceptance Testing (UAT) with business stakeholders Knowledge of python (pandas) Experience with Cloud platforms Creating data dashboards using Tableau, PowerBI or Qlik and story telling We expect you to work closely with business to understand their current data problems, pain 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 ❯

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 ❯