176 to 200 of 329 Pandas Jobs in England

machine learning and statisticsSolid foundation on data structures and algorithmsProficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)Ability to interpret and write complex SQL queriesExperience with big data technologies, such as Hive and SparkTrack record of leading the deployment ...

datasets Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration ...

keep the technical build strategic. What makes a great candidate Strong proficiency in Python and SQL. Comfortable working with modern data‐processing tools (Polars, pandas, numpy) and orchestration/scheduling frameworks (Airflow or equivalent). Strong grounding in production engineering: CI/CD, containerised deployment (Kubernetes/Docker), monitoring, alerting. ...

every tool listed below, but you should have strong experience with most of them or equivalent technologies. Core Languages & Frameworks Python (Flask, SQLAlchemy, NumPy, Pandas) for services and analytics React, Typescript, Redux for the front end Cloud & Infrastructure AWS (ECS, Lambda, RDS, S3) Docker Linux Data, Messaging & Caching MySQL RabbitMQ ...

problems using data 2-5 years experience in data analytics in a consumer-facing business What would be a bonus: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or equivalent) DBT Why else you'll love ...

Excel and financial modelling.- Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.- 3+ yearsof experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).- 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms. ...

evals, designed metrics, or run structured model comparisons, and you can talk about where your own metrics misled you - Strong Python for data work (pandas, numpy, notebooks, and the ability to write code other people can run) - Confident with SQL and relational databases - Solid grounding in statistics and experiment design ...

solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with ...

experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems Programming & Frameworks Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience building, training, and deploying ML models. Strong technical capability in key data science and AI languages and frameworks such ...

intensive applications in production, with a track record of leading technical initiatives from conception to deployment. Expert-level Python and its data ecosystem (Numpy, Pandas), including designing frameworks for data tasks. Deep understanding of distributed data processing engines like Apache Spark. Ability to reason about the full data lifecycle from ...

cost, MACCs), project finance (NPV, IRR, payback, discount rates) and carbon pricing (ETS, carbon taxes, internal shadow prices). Expert Python for quantitative modelling (pandas, NumPy), with the discipline to make models reproducible, validated and version-controlled (Git/GitHub). Familiarity with using LLMs and agentic-AI workflows ...

production environment. Previous exposure to additional technologies like Seldon, KServe, RayServe, Kubernetes, MLFlow, Sagemaker, Kubeflow, Anyscale, Valohai, ArgoCD, Docker, Python, Java, Ray, Spark, Pandas, Argo Workflow, Postgres, Snowflake and BigQuery is highly desirable. Good to have: previous knowledge managing complementary DBs like vector and/or graph DBs Good ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. Technical Expertise & Tools: Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code; SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

Redshift) and data ingestion patterns (batch, streaming, CDC).* Hands-On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter.* Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions.* Curiosity & Continuous Learning - Passion for exploring ...

translate them into engineering improvements Proficiency in Python (or similar) for instrument control, benchtop automation, and data analysis using scientific libraries (NumPy, SciPy, Pandas); experience interfacing Python with hardware via vendor SDKs or standard protocols Comfortable bridging hardware and software — wiring up cameras, light sources, and motion control to scripted ...

Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn. Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error ...

services. Dimensional data modeling or semantic model design for Power BI or similar platforms. Python experience for data transformation, automation, validation, and analysis, including Pandas, NumPy or similar libraries. Experience with ETL/ELT workflows, automated validation routines, controlled data refreshes, or data pipeline documentation. Exposure to benchmarking, normalization, regional ...

Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring ...

services.* Dimensional data modeling or semantic model design for Power BI or similar platforms.* Python experience for data transformation, automation, validation, and analysis, including Pandas, NumPy or similar libraries.* Experience with ETL/ELT workflows, automated validation routines, controlled data refreshes, or data pipeline documentation.* Exposure to benchmarking, normalization, regional ...

truth for commissions, sales performance analytics, and reporting. Automation & Reconciliation: Practical experience with script‐based reconciliation or automation tools such as VBA, Python/Pandas, SQL, Alteryx, or equivalent methods to rapidly reconcile large dataset pipelines and identify calculation or data integrity issues. Governance & Controls: Proven track record establishing ...

truth for commissions, sales performance analytics, and reporting. Automation & Reconciliation: Practical experience with script-based reconciliation or automation tools such as VBA, Python/Pandas, SQL, Alteryx, or equivalent methods to rapidly reconcile large dataset pipelines and identify calculation or data integrity issues. Governance & Controls: Proven track record establishing ...

environment and owning the technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex … success in leading and mentoring teams. Experience of building market data solutions within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch).Generative AI techniques including agents, skills ...

8+ years of Python experience to lead the design and development of scalable data pipelines and enterprise Python applications. You will work with NumPy, Pandas, BeautifulSoup, Selenium, SQL (PostgreSQL), Spark, and cloud platforms such as AWS S3 and Azure Databricks, in an Agile environment across multiple time zones. You will ...

like PostgreSQL, and familiarity with cloud platforms such as AWS and Azure. Ideal candidates will have strong skills in Python libraries including NumPy and Pandas, along with experience in DevOps practices using CI/CD pipelines. This position offers a hybrid work environment based in Greater London. #J-18808-Ljbffr ...

Requirements A drive to solve problems using data 2-5 years experience in data analytics in a consumer-facing business Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or equivalent) DBT #J-18808-Ljbffr ...