51 to 74 of 74 Permanent Pandas Jobs

practical application (e.g., regression, classification, clustering, time-series forecasting, survival analysis). Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM). A proven ability to break down vague, complex problems into concrete, solvable steps. Excellent communication and data storytelling skills. You can build strong More ❯

house applications for the Derivatives trading desk using Python Implement automated testing with PyTest and ensure code quality through peer reviews Process, analyse, and manipulate data using NumPy and Pandas Manage CI/CD pipelines to ensure stable production environments Utilise Git-based workflows for collaborative development Work closely with team members and stakeholders to deliver user-focused solutions Provide More ❯

Preferred Skill Sets Familiarity with Oracle Exadata Familiarity with SingleStore/Mysql is a big plus Experience with Python, exposure to DB connect libs and others like requests, json, pandas etc Oil and Gas Industry experience Important Point to be Noted: We are specifically looking for candidates with a strong focus on PL/SQL development. Those with extensive experience More ❯

Conduct statistical analysis and hypothesis testing Build and deploy predictive ML models Mentor junior team members What you'll bring 4+ years' experience in data science Strong Python skills (pandas, numpy, PyTorch etc.) Experience with traditional ML techniques and statistical analysis Solid consulting skills - communication, problem-solving, stakeholder engagement Eligible for SC Security Check clearance Benefits: Private medical insurance More ❯

experience setting up CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or GitLab CI, targeting Azure environments. Experience with popular Python libraries and frameworks such as Pandas, NumPy, and PySpark. Benefits Full-time, permanent contract. Competitive salary up to £60,000 per annum, depending on experience. Hybrid working model based in Aberdeen (2 days per week in More ❯

approaches. Supporting business development and pitch materials. What You’ll Bring Degree in a STEM field (Maths, CS, Engineering). Experience in data science or consulting. Strong Python/Pandas skills. Entrepreneurial mindset and proactive problem-solving. Hands-on machine learning experience. Nice to have: large datasets, data engineering, pricing/optimisation, client presentations, banking/FS experience, plus any 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 ❯

degree in a quantitative discipline (computer science, maths, engineering), with an expected graduation date of Spring 2027 or later Strong proficiency in SQL and Python (with an emphasis on Pandas, PySpark, etc.) Excel skills and visualisation skills are preferred Excellent attention to detail, organisation, and project management skills Strong verbal and written communication skills Commitment to the highest ethical standards More ❯

relevant field. Knowledge and experience of PowerBI, SQL and Python. Experience with Power Apps, Power Automate and Microsoft Azure would be desirable. Experience with data processing libraries such as Pandas and PySpark would be a plus. Experience acquiring structured, semi- structured and unstructured data from various sources, including databases, blob storage and API's. Experience in both producing datasets and More ❯

keen to engage in the design processes this involves. Specifically: You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. You are keen to understand the data we More ❯

findings to analysts and cricket-facing staff. Contribute to internal R&D exploring new metrics, methods, and analytics approaches. What were looking for: Strong Python skills, with experience in pandas or polars. Good understanding of statistical/ML concepts and how to apply them to real sporting problems. Some hands-on experience with cricket data (ball-by-ball, player stats More ❯

. Communicate insights clearly to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong programming experience in Python with excellent data manipulation skills (pandas/polars). Solid statistical or machine-learning background, with experience applying these techniques to football data. Hands-on experience with events and/or tracking data. Understanding of advanced More ❯

experience in data analysis and reporting, 1+ years of experience performing data analysis in the solar industry strongly preferred Advanced skills with the Python programming language and specifically the pandas and numpy data analysis packages, 1+ years experience required, 3+ years preferred Knowledge of residential solar system equipment and operation preferred Strong analytical skills with the ability to exercise independent More ❯

the ability to represent governance and taxonomy requirements to both technical and business stakeholders. 4. Advanced proficiency in SQL for auditing, analysis, and troubleshooting. 5. Familiarity with Python (e.g., Pandas, transformation logic) strongly preferred for automation and enrichment. 6. Hands-on experience with PIM systems (Enterworks strongly preferred) and content syndication workflows. Qualifications: 1. Bachelor’s degree in Information Science More ❯

pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession value More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (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 scaling deep-tech company that's … seeking Machine Learning Engineers with 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 AI, science, and engineering to More ❯

enablement, and other events as subject matter expert for Redis Vector Similarity Search; design/develop deep learning algorithms, machine learning recommendation systems; perform data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploy machine learning algorithms (AWS), graph clustering algorithms (Python, C++, Rust) using programming languages; use software libraries/platforms, AWS Sagemaker, Numpy, Scipy, Scikit-Learn, PyTorch … Science, Computer Engineering, or Mechanical Engineering plus 1 year experience. Experience to include designing/developing deep learning algorithms, machine learning recommendation systems; performing data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploying machine learning algorithms (AWS), graph clustering algorithms (Python, C++, Rust) using programming languages; and using software libraries/platforms, AWS Sagemaker, Numpy, Scipy, Scikit-Learn More ❯

Adjust, and other MMPs Engineer features for ML models: temporal patterns, user behaviour sequences, campaign attribution Ensure data quality through comprehensive validation, deduplication, schema checks, and defensive programming Optimise pandas/Polars pipelines for performance - we process millions of events daily Handle messy real-world data: duplicates, out-of-order events, schema drift, missing fields, null handling Infrastructure & Orchestration Build … with data scientists to productionise ML workflows and model inference Requirements The ideal candidate must have... 4-6+ years building production data pipelines with demonstrable business impact Deep pandas expertise: you've built real ETL pipelines in production, understand vectorization, memory optimization, and performance patterns Deep expertise in Python and SQL with high code quality standards (e.g. ruff, mypy More ❯

critical simulation initiatives. Key Responsibilities Design, build, and maintain high-performance ETL/ELT data pipelines using Python and PySpark. Apply expertise in Python's data analysis libraries, including Pandas and NumPy, to perform complex data manipulation, cleansing, and transformation. Develop and manage data processing jobs leveraging PySpark for distributed computing across large-scale datasets. Implement DevOps practices and tooling … Skills 5+ years of experience in Data Engineering or a related technical field. Expert-level proficiency in Python, including a strong command of core concepts and specialized data libraries (Pandas, NumPy). Solid hands-on experience with PySpark for building scalable data workflows. Strong background in DevOps principles and tools for deploying Python-based data applications (e.g., containerization, CI/ More ❯

Job Description : What will make this person successful is their ability to convey the analysis of their data in laymans terms to business executives. Give presentations with confidence and clarity, using excellent command of English language.This project is supporting a More ❯

an experienced Data Developer to join their team on a permanent basis. In order to be successful, you will have the following experience: Extensive Data Development background within Python (Pandas) Strong SQL skills along with JSON, XML and CSV formats Experience of using APIs for data access Experience with ETL processes and pipeline development SC Cleared Within this role, you … will be responsible for: Cleaning and processing tabular data (Excel, CSV, databases) Building data transformation pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloguing and reference data management Learning and applying RDF and semantic web concepts Collaborating with More ❯

Science. Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail building AIML Solutions for Test Generation, Test Prioritization … to have. Front End experience in React to build front end for the AIML solutions is a plus. Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. Experience with building, training & finetuning AIML models is a plus. Bachelors degree in Computer Science or More ❯

of the process. Working closely with the biological research team, youll design intuitive user interfaces, translate lab workflows into functional software, and develop robust data analysis pipelines using Python, pandas, matplotlib, and related libraries. Youll even have the chance to take ownership of small development projects from concept to deployment, contributing to GitHub-based workflows and helping shape the platforms … considered as a Software Developer, you will need: - At least one year of software development experience (a placement year will be accepted) - Experience with Python libraries such as tkinter, pandas, and matplotlib - Experience using GitHub or similar version control platforms - Strong proficiency in Python - Familiarity with SQL or other database systems - The a bility to design and build user-friendly More ❯

Role Summary We are seeking a highly skilled Data Engineer with strong AIML (LLMs, Generative AI, Agentic AI) and Python expertise to design, develop, and implement AI/ML-driven solutions for Test Automation within the Securities Processing domain. The More ❯