176 to 200 of 319 Pandas Jobs in England

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 ...

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 ...

Terraform or CloudFormation. 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 ...

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 ...

source of truth for commissions, sales performance analytics, and reporting. 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. Proven track record establishing and enforcing data ...

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 ...

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 ...

equivalent experience in mathematics, physics, computer science, engineering, quantitative finance or a related field Nice to have Python experience, particularly NumPy, SciPy or pandas KDB+/Q or another functional programming language AWS, Docker or Kubernetes Java performance tuning, garbage‐collection optimisation or LMAX Disruptor Knowledge of futures, forwards, NDFs ...

environment. Nice To Have Node.js and Go experience. Experience with Supabase and Vercel. RAG, MCP, AI Agents, Evaluation Frameworks and AI Product Development. Python, Pandas and data tooling experience. Startup, scale-up or founding engineer experience. Interest in ClimateTech, EnergyTech, Scientific Software or Battery Technology. #J-18808-Ljbffr ...

Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit ...

Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit ...

domain-relevant properties, characterisation techniques, and substance or material selection processes. Proficiency in data analysis and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn), R, or similar. Experience with database management systems (SQL or NoSQL).Familiarity with scientific databases and ontologies (e.g., Materials Project, ChEMBL, PubChem ...

Looking For? The ideal candidate will have the following skills and experience: Strong SQL skills Strong Python skills for dataframe analytics using pandas or polars Confident use of AI coding assistants with sound judgment and validation Financial markets domain knowledge A collaborative approach to working with stakeholders An automation-first ...

market data symbology, with an interest in developing further expertise in these areas Proficiency with SQL and Python for exploratory data analysis (PySpark, pandas, Jupyter Notebooks) Ability to document and clearly explain complex data analysis findings Exceptional attention to detail and effective communication skills Ability to think both independently ...