126 to 150 of 180 Pandas Jobs

with significant industry or research experience. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals. Hands-on experience building ...

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 ...

test, measurement, or production datasets. Solid understanding of statistical methods and experimental data analysis. Practical experience with Python and modern data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-Learn). Experience working with SQL-based data environments. Excellent English communication skills, both written and spoken. Ability to clearly communicate complex ...

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 ...

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Hands ...

anticipate and communicate future challenges, ensuring operational effectiveness. Skills and Experience: Essential: Full-stack Python Software Developer skills, specialising in numerical processing using Pandas, Numpy, Polars, PySpark, Coroutines, async tasks and Unix Building scalable applications, with intensive risk-based processing. Package software for distribution (eg Docker, Poetry, python-wheels, PyInstaller ...

Substantial experience with joining, analysing, manipulating commercial and regulatory data for visualisation (Tableau) and apps Demonstrable experience in utilising data analytics tools and libraries (Pandas, PySpark, etc) Understanding of financial markets Experience in applying machine learning techniques to market data Experienced in developing user-friendly analytical products, e.g self-service ...

projects and have outstanding communication skills with both financial and technical people. Skills and Experience Required 3-8 years' experience, ideally developing with Python (pandas/numpy) Solid analytical problem-solving skills React/Angular experience developing web frontends Working knowledge of SQL and other database technologies. Desirable Experience/ ...

code and CI/CD practices. \n Data Engineering & Scripting \n *Scripting and data manipulation skills using Python. (Nice to have) \n *Proficient with Pandas for handling and transforming complex datasets. (nice to have) \n *Hands-on experience with Apache Airflow for data orchestration and pipeline scheduling. \n Experience ...

databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud ...

engineering experience Passion for AI and eagerness to work at the forefront of technological innovation Proficiency with relevant Python libraries for data analysis (e.g. pandas) and key AI APIs (e.g. OpenAI) Familiarity with cloud infrastructure, orchestration and monitoring tools Experience with visualizing and presenting data Strong problem-solving skills ...

like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/ ...

like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/ ...

clear and concise documentation and analysis. NICE TO HAVE BUT NOT ESSENTIAL Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience leading a team or owning a whole product domain PROCESS 1) Screening call with recruiter - 30 mins 2) Take home ...

building bespoke dashboards for end users. Plotly or Dash highly desired - Good commercial experience with data visualisation tools and techniques - Solid working experience with Pandas or NumPy - Excellent SQL abilities Nice to have: - Javascript/web experience (React or Typescript) - Flask - Cloud computing experience (AWS preferred) - Prior experience working ...

Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques.* Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow.* Experience with explainability frameworks such as SHAP, LIME, PDP.* Ability to communicate technical concepts clearly and influence cross-functional decisions.* Familiarity with real-time ...

Microsoft Excel, including data manipulation, formulas, pivot tables, and basic reporting. Familiarity with Python for data processing and analysis. Experience with libraries such as Pandas, NumPy, Matplotlib, or similar tools would be an advantage. Basic understanding of databases and data management principles. Experience with Microsoft Access, SQL, or other database ...

deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Ability to communicate and interact with a wide range of users, from highly technical to non‐technical backgrounds. Strong analytical skills with ...

limitations in language each audience trusts. Essential Strong applied proficiency in Python and/or R, including modern data and ML libraries (e.g. pandas, scikit-learn, statsmodels or equivalents) and time-series/statistical forecasting methods. • A track record of owning an analytical product end to end – from data acquisition ...

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 ...

background in a STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

Scrum based ways‐of‐working. Desirable Experience in the energy sector or with computational modelling/simulation software. Familiarity with scientific computing libraries (NumPy, Pandas) and optimisation frameworks. Experience with generative AI/LLMs in applied engineering contexts. Experience with infrastructure-as-code tools (Terraform, Terragrunt) and GitOps practices. #J ...

knowledge in applied and theoretical data science is essential Ability to code in SQL and Python Hands on experience using Scikit, numPy and Pandas Classification modelling experience, youve designed, built, and evaluated classification models; familiarity with deep learning concepts is a plus Hands on data and Machine Learning capability ...

. Building data analysis frameworks, validation routines, and reconciliation processes in Python. Automating data quality checks, exception reporting, and workflows through scripting. Proficiency with Pandas, NumPy, and OpenPyXL. Integration of database queries, file processing, and reporting via automated scripts. Knowledge of Excel VBA/VB Scripting for macros and reporting ...