23 of 23 Contract Pandas Jobs

Shell Scripting, Node.js, Streamlit IDE experience: PyCharm, VS Code, JupyterLab, Eclipse, Notepad++, Sagemaker Studio, Azure ML Studio, Vertex AI Workbench Python Libraries NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, PyTorch, PySpark, SpaCy, SciPy, NLTK, Statsmodels, Boto3, AzureSDK NLP & LLMs BERT, Word2Vec, Universal Sentence Encoder, NLTK, embeddings, fuzzy matching, topic modelling ...

What We're Looking For Strong operational research and optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred ...

integer programming, heuristics) • Fluent in Python (required) and other programming languages (preferred) with strong skills in applying DS, ML, and OR packages (scikit-learn, pandas, numpy, gurobi etc.) to solve real-life problems and visualise the outcomes (e.g. seaborn) • Proficient in working with cloud platforms (AWS preferred), code versioning ...

live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical 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). ...

fixes. Key Skills: Investigating and debugging complex data flow and Machine Learning issues within a live, high impact production environment. Extensive Python, NumPy and Pandas is required for this role. You must demonstrate a deep commercial background in the following areas: Extensive Python: Very strong, production-level Python coding ...

integer programming, heuristics) Fluent in Python (required) and other programming languages (preferred) with strong skills in applying DS, ML, and OR packages (scikit-learn, pandas, numpy, gurobi etc.) to solve real-life problems and visualise the outcomes (e.g. seaborn) Proficient in working with cloud platforms (AWS preferred), code versioning ...

Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion ...

optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. ...

bottlenecks in production systems to ensure low-latency data delivery. Technical Profile Python Mastery: Expert-level Python 3.9+ (Design Patterns, OOP, logical data modelling, pandas, SQLAlchemy). Data Engineering: High-scale workload experience using Parquet or Arrow. Database Expert: Mastery of SQL Server or PostgreSQL (tuning, joins, transactions, and complex ...

technical discussions, code reviews, and agile delivery Required Skills & Experience Essential 36+ years commercial experience in Applied ML or Data Science Strong Python (pandas, numpy, sklearn or similar) Strong SQL Experience building and iterating on predictive models Conditional (must meet at least 2 of the below) Time-series modelling 2+ ...

Business Data Analyst will have strong SQL skills (query writing, joins, performance optimisation, data manipulation) Proficiency in Python for data analysis and automation (e.g., pandas, scripting, APIs) Advanced Excel skills (complex formulas, pivot tables, data modelling) Proven experience working in a Middle Office role within a financial services environment Strong ...

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline. Strong proficiency in Python or R, including libraries such as pandas, scikit-learn, NumPy, TensorFlow, or PyTorch. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Hands-on experience applying a range of supervised ...

sample and genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive experience ...

Python Developer for a major pharmaceutical company, outside IR35. The key skills required for this Python Developer role are: Python AWS Data science (numpy, pandas, scipy.stats and .spatial) Visualization (dash or seaborn) If you do have the relevant experience for this Python Developer role, please do apply. ...

Systems, or related field 3+ years of experience working with Power BI Strong experience with: DAX Power Query Data modeling concepts Proficiency in Python (Pandas, NumPy, Matplotlib/Seaborn, etc.) Experience with SQL and relational databases Understanding of ETL processes and data warehousing concepts Experience integrating Python scripts within Power ...

Programming and Data Handling Ability to code in Python Proficiency in SQL for querying and managing input data Data pre-preparation skills (experience with pandas, numpy) Ability to work in a fact paced agile team environment Preparing and conducting UAT, Change management, Validation Documentation, User training Your Profile Essential Skills ...

Physics, Engineering, or related quantitative field Solid grounding in algorithms, data structures, and numerical methods Experience with scientific or data libraries (eg NumPy, SciPy, Pandas ...

FastAPI. * Work with Python web frameworks such as Flask, Django, FastAPI, and Jinja2. * Data, Analytics & Databases * Perform data manipulation and analysis using tools like Pandas and NumPy. * Design, query, and maintain both relational databases (eg, PostgreSQL) and NoSQL/document stores (eg, MongoDB). * Build data pipelines and support analytics ...

within a product or operational environment, with demonstrable impact on decision-making Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation Proven ability to understand legacy datasets/pipelines and to evaluate their fitness ...

delivering interactive dashboards used for commercial insight. The Role You will: Develop robust, production-grade Python applications Manipulate and analyse large datasets using pandas and numpy Build interactive dashboards using Plotly Dash Design modular, reusable and well-tested code Integrate with REST APIs and backend services Collaborate with commercial … enjoys building clean systems rather than quick scripts. Required Experience Hands-on Python development experience Strong object-oriented programming skills Deep experience with pandas and numpy for data manipulation Experience with virtual environments, dependency management and packaging Strong understanding of software engineering best practices including Git, unit testing (pytest), documentation ...

delivering interactive dashboards used for commercial insight. The Role You will: Develop robust, production-grade Python applications Manipulate and analyse large datasets using pandas and numpy Build interactive dashboards using Plotly Dash Design modular, reusable and well-tested code Integrate with REST APIs and backend services Collaborate with commercial … enjoys building clean systems rather than quick scripts. Required Experience Hands-on Python development experience Strong object-oriented programming skills Deep experience with pandas and numpy for data manipulation Experience with virtual environments, dependency management and packaging Strong understanding of software engineering best practices including Git, unit testing (pytest), documentation ...

include: Ingesting and transforming large datasets (100M+ rows), from Oracle, SQL Server, and flat files (CSV, XML). Writing and reviewing SQL and Python (Pandas) scripts to clean and join data across multiple sources. Conducting forensic comparisons between data sources (e.g., matching millions of XML records to transactional logs). … audit-quality outputs. KEY SKILLS & REQUIREMENTS Strong SQL (T-SQL, Oracle, or PostgreSQL) - must be comfortable with complex joins and large volumes Python with Pandas - mandatory for data transformation and wrangling Experience working with large operational databases, text files, and legacy data sources Strong attention to detail and a forensic ...

Build, maintain, and improve scalable ETL/ELT pipelines using Azure Data Factory Model, manage, and optimise datasets within Azure SQL Use Python and Pandas for data preparation, transformation, and quality checks Work closely with engineering, product, and analytics teams to understand data requirements and deliver robust solutions Maintain high … Data Factory and cloud-based data orchestration Solid Azure SQL knowledge, including schema design and performance tuning Proficiency in Python, with practical experience using Pandas for data manipulation Comfortable delivering in environments where onboarding is minimal and pace is high Background working with product-led or digitally focused teams ...