201 to 225 of 386 Pandas Jobs

skills and experience The successful candidate will have: Three or more years of commercial Data Science or applied analytics experience. Strong Python skills, including pandas, scikit-learn and common Data Science libraries. Advanced SQL skills and experience working with large or varied datasets. Commercial experience using Snowflake. A good grounding ...

metrics and explainability techniques Applying machine learning techniques within computer vision or natural language processing Using Python data science and visualisation libraries such as pandas, scikit-learn, statsmodels, matplotlib or seaborn, alongside deep learning frameworks such as TensorFlow or PyTorch Working with large datasets, data analysis, data warehouses, big data ...

reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time periodExtensive experience with pytorch and related data science python libraries (e.g. pandas)Experience of containerising applications or models for deployment (Docker)Experience with one of the major public cloud providers (Azure, AWS, GCP)Ability to communicate technical ...

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 ...

data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems ...

building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique ...

Experience in travel, transport, marketplaces, or similarly complex digital platforms Our technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including ...

data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems ...

facing productsExperience in travel, transport, marketplaces, or similarly complex digital platformsOur technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.)PySparkAWS cloud infrastructure: EMR, ECS, Athena, etcMLOps/DevOps: Terraform, Docker, Airflow, MLFlowMonitoring and evaluation platforms including New Relic ...

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 ...

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 ...

8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with distributed ...

environment and owning the technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex … success in leading and mentoring teams. Experience of building market data solutions within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents ...

environment and owning the technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex … success in leading and mentoring teams. Experience of building market data solutions within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents ...

Goldman Sachs seeks an Associate in Internal Audit - Data Engineering to design and implement robust data pipelines and analytics. You will work with Python, Pandas, Polars and PySpark to deliver scalable data products and AI-ready insights for audit teams. You will collaborate with data owners, develop data models ...

lifecycle in production Communicate insights to executive stakeholders with clarity What you bring 4+ years applied data science with production deployments Strong Python (pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least one MLOps stack (MLflow, SageMaker, Vertex) Nice to have ...

Essential Skills Strong Python development experience (FastAPI, Pydantic, SQLAlchemy, Pytest). Experience with PostgreSQL, Docker, Git/GitHub, GitHub Actions, and microservices. Knowledge of Pandas, NumPy, OpenTelemetry, and cloud-native development. Strong communication, problem-solving, and stakeholder management skills. Ability to take ownership and thrive in a fast-moving environment. ...

team is now expanding these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches ...

team is now expanding these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches ...

maturity to sit in front of clients, translate evolving stakeholder needs into features, and drive delivery. Strong Python for data and backend work - Pandas plus optimization/scientific libraries (e.g. Pyomo, Scikit-Learn) Building simulation, forecasting, and KPI/analytics frameworks to model financial or operational outcomes Data engineering: ingestion ...

help raise the technical bar across the team What you’ll bring: Strong hands‐on Data Science & ML experience Advanced Python and SQL , with pandas, scikit-learn and XGBoost/LightGBM Experience across areas such as forecasting, segmentation, recommendations, ranking or behavioural modelling Proven experience taking ML projects into production ...

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 ...

datasets with real downstream consumers. Work with economists and engineers to turn modelling decisions into reliable production data. Essential Strong production Python. Datasets in pandas and Parquet/Arrow, plus an analytical engine, e.g. DuckDB, or a warehouse such as Snowflake. Orchestrated batch pipelines you've operated, not just written ...