15 of 15 Pandas Jobs in London

their potential impact on products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure ...

their potential impact on products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure ...

their potential impact on products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure ...

stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...

services. Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS. Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters. Mentor junior developers in engineering best practices, including ...

improvements into production. Support performance testing and ongoing optimisation. Key Skills & Experience Entity resolution, record linkage or fuzzy matching experience. Strong Python experience, including pandas, NumPy and scikit-learn. Solid SQL skills and experience working with large datasets. Experience with Elasticsearch, Kubernetes and Docker. Understanding of precision, recall and false ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...

confidence intervals, and causal inference Experience designing and evaluating marketing experiments and lift studies Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments Understanding of digital advertising platforms ...

with sales and project management data in tools like Salesforce or similar. Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience working with payments or transactions data. Additional Information PROCESS 1) Screening call with recruiter - 30 mins 2) Take home Case ...

models you've used, why you chose them and what alternatives you considered. Python: Strong proficiency in Python and its data/ML ecosystem (pandas, NumPy, scikit-learn), writing maintainable, production-quality code. AWS: Hands-on experience building, training and deploying ML models on the AWS stack, ideally with experience ...

ensure successful implementation. Machine Learning Engineer, key skills: Experience: Proven background as a Machine Learning Engineer Programming skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding ...

with CI/CD tools (Jenkins, GitLab CI/CD) and version control (Git) Experience with Python libraries for automation - requests, paramiko, subprocess, schedule, pandas ...

including Power Pivot, Power Query, DAX, data models and complex financial modelling. Working knowledge of Python for data manipulation and automation, for example using pandas or scripting against vendor APIs. Background in building or maintaining ETL or data pipelines and handling structured data at scale. Understanding of IT infrastructure ...

Our client is a digital and technology consultancy. About Us: Our client, part of our client, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and ...