1 to 25 of 30 Pandas Jobs in the South East

both technical and non-technical stakeholders. Requirements Programming Skills: Strong programming ability in Python is essential, including proficiency with data science libraries such as pandas, NumPy, scikit-learn, and visualisation tools. Experience building production-quality code and deploying models is important. Familiarity with SQL and relational databases required. Experience with ...

PyTorch, TensorFlow, scikit‐learn, Hugging Face Transformers; OpenCV for vision. Experiment tracking and reproducibility tools (e.g., MLflow, Weights & Biases). Data wrangling and analysis (Pandas, NumPy, SQL); familiarity with Spark or similar is a plus. Model optimisation and deployment fundamentals: ONNX, TorchScript, FastAPI/gRPC; GPU acceleration (CUDA basics desirable ...

work or through internships is helpful. You can write clear and reliable Python/PySpark code. You are familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud). You have a deep understanding of data ...

work or through internships is helpful. You can write clear and reliable Python/PySpark code. You are familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud). You have a deep understanding of data ...

model monitoring (latency, accuracy, drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (e.g., MLflow), model registry ...

researchers to design pipelines for modeling and back-testing. Document and maintain the firm's core data architecture. Requirements: 5+ years of Python development (Pandas, SQL, Linux environment). Hands-on experience building data solutions for trading, research, or risk. Deep technical curiosity and strong problem-solving skills. Strong knowledge ...

series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Ideally previous experience with Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking ...

delivery team to deliver models, documentation and associated productionised services. Solid knowledge and experience of AI and ML is essential Key responsibilities include; Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering SQL: For querying structured data sources Model Development & Validation: Experience with classification, unsupervised learning (e.g. ...

SAP. Ensure data quality, governance, and lineage tracking throughout the project. Required Skills ETL/ELT pipeline design and data validation frameworks. Advanced Python (pandas, numpy, boto3) and SQL (complex queries, optimisation). Experience with AWS Glue , Step Functions , and event-driven architectures . Knowledge of vector databases , embeddings ...

credential management, data protection, and API security. About You Python Development: Proficient in Python 3.x (OOP, data structures, exception handling, modules); experience with requests, pandas, numpy, asyncio, FastAPI/Flask; familiar with type hints, virtual environments, and dependency management (pip, poetry). (Reviewing and refactoring existing code in manageable modules ...

will help shape data foundations, build end-to-end solutions, and deliver insights that directly influence strategy. Responsibilities: Develop data pipelines using Python, Pandas, and SQL Build and deploy machine learning models with PyTorch Create LLM and workflow integrations using LangChain Consolidate and prepare datasets for analysis and modelling Provide ...

Data Scientist or Pricing Analyst in a commercial or tech environment Advanced SQL skills for querying and transforming large datasets Strong Python experience (e.g. pandas, numpy, scikit-learn, statsmodels) Solid understanding of pricing theory, optimisation, and experimentation Experience working with large-scale data in a fast-paced environment Ability ...

Bring Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). Strong leadership in project delivery, architecture, and technical decision-making. Excellent communicator, able to simplify complex ideas ...

science to deliver commercial impact. A strong academic background (Bachelor's degree 2:1 or above in a quantitative subject). Strong Python skills (Pandas, NumPy, Scikit-learn or similar). A collaborative mindset with excellent communication skills. Experience working in cross-functional teams delivering production-ready solutions. If this ...

Familiarity with SAP data structures is beneficial Integration with PIM (Product Information Management) systems Design and consumption of REST APIs Programming & Querying Python (advanced): pandas, numpy, boto3, and data processing best practices SQL (advanced): complex queries, performance tuning, and query optimization Data Quality & Governance Data profiling and ongoing quality assessment ...

volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another ...

strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What ...

data cleansing and ETL pipelines Strong event-level/behavioural data experience Able to work independently and make smart technical decisions Nice to have: pandas/polars dbt Django or backend exposure DevOps or data science familiarity Why join Founding-level ownership High-impact, high-autonomy role Greenfield build Real ...

models that help operational teams plan more effectively Working closely with stakeholders to turn analysis into action Key technical skills Strong experience with Python, Pandas and SQL Confident with data wrangling, exploration and visualisation Experience with business intelligence tools What we're looking for Excellent interpersonal and stakeholder communication skills ...

research in machine learning, computational chemistry, and bioinformatics. Required Skills & Experience Proficiency in Python and the core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn). Hands on experience with a modern deep learning framework, preferably PyTorch. Strong theoretical understanding of machine learning principles, including deep learning and classical statistical ...

requirements and ensure outputs are fit for purpose. Skills & Experience Needed Strong SQL abilities and experience designing relational schemas. Hands-on Python skills (preferably pandas) for data wrangling and transformation. Solid understanding of data modelling principles and best practices. Good working knowledge of Excel and awareness of CRM/enterprise ...

requirements and ensure outputs are fit for purpose. Skills & Experience Needed Strong SQL abilities and experience designing relational schemas. Hands-on Python skills (preferably pandas) for data wrangling and transformation. Solid understanding of data modelling principles and best practices. Good working knowledge of Excel and awareness of CRM/enterprise ...

Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly … experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing ...

We are seeking a VP Data Science to lead our Data Science function within Planning Agent, our AI-powered advertising planning platform used daily by agency teams. This role will shape the future of agentic ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software ...