1 to 25 of 27 Remote/Hybrid Pandas Jobs

software engineering best practices including CI/CD, testing, version control and code quality standards. Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript. Soft Skills & CollaborationStrong communication skills with the ability to engage technical and non-technical ...

implementing data science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc ), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building customer ...

implementing data science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building customer ...

stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium ...

skills, including design, development, testing, deployment, and support of business-critical applications and data services. Strong experience with Python libraries and frameworks such as Pandas, NumPy, PySpark, FastAPI, or equivalent. Proven experience designing, building, and operating cloud-native solutions on Azure (preferred), AWS, or similar cloud platforms. Experience building scalable ...

Strong experience with BigQuery (SQL, partitioning, clustering, optimization) and Dataflow (Apache Beam) Strong programming skills in Python with experience in data manipulation libraries (PySpark, pandas) Expert-level SQL proficiency for complex transformations, optimization, and analysis Proficiency with Dataform for modular SQL-based data transformations and data pipeline management Solid understanding ...

Strong experience with BigQuery (SQL, partitioning, clustering, optimization) and Dataflow (Apache Beam) Strong programming skills in Python with experience in data manipulation libraries (PySpark, pandas) Expert-level SQL proficiency for complex transformations, optimization, and analysis Proficiency with Dataform for modular SQL-based data transformations and data pipeline management Solid understanding ...

Strong experience with BigQuery (SQL, partitioning, clustering, optimization) and Dataflow (Apache Beam) Strong programming skills in Python with experience in data manipulation libraries (PySpark, pandas) Expert-level SQL proficiency for complex transformations, optimization, and analysis Proficiency with Dataform for modular SQL-based data transformations and data pipeline management Solid understanding ...

insurance industry. Exposure to reinsurance, in particular casualty lines, would be a distinct advantage. Excellent Python skills, with demonstrable, production-quality experience using pandas and related libraries for data cleansing, transformation and automation. Experience with Git and collaborative development workflows. Strong SQL, with practical experience of designing relational database schemas ...

Quality, Data Science, Data Visualization, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Statistical Analysis, Structured Query Language (SQL), Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

Experience in managing data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer ...

production data platforms, star-schema data models, and complex ELT/ETL pipelines. Advanced proficiency in Python and SQL, including clean object-oriented design, Pandas, query optimization, and REST API integrations. Hands-on experience within the Microsoft Azure ecosystem (Azure Data Factory, Azure SQL, ADLS), Azure DevOps, Git, CI/ ...

experience Experience with enterprise trading and risk platforms (eg Quartz, SecDB, Athena, Kanon, Beacon or similar) Strong SQL and large-scale data handling expertise Pandas and NumPy for data processing and analytics REST API development using Flask, FastAPI or Django Strong understanding of performance optimisation and scalable systems Unix/ ...

confidence intervals, and causal inference Experience designing and evaluating marketing experiments and lift studies Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments Understanding of digital advertising platforms ...

testing Marketing experimentation Strong statistical background covering: Hypothesis testing Causal inference Power analysis Sample size calculation Regression modelling Strong SQL skills. Python experience (pandas, scikit-learn, scipy, statsmodels). Experience working with modern analytics stacks. Ability to communicate technical concepts to marketing and commercial stakeholders. Comfortable using AI to improve ...

Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Organizational Awareness, Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...

scripting A commitment to writing testable, maintainable code. Advanced to expert level python development skills, including use of data analysis packages such as Numpy, Pandas, etc. Experience with SQL and/or other database technologies Knowledge of modern technologies such as AWS, Airflow, Docker, GitLab and Redis Ideally working with ...

models you've used, why you chose them and what alternatives you considered. Python: Strong proficiency in Python and its data/ML ecosystem (pandas, NumPy, scikit-learn), writing maintainable, production-quality code. AWS: Hands-on experience building, training and deploying ML models on the AWS stack, ideally with experience ...

models you've used, why you chose them and what alternatives you considered. Python: Strong proficiency in Python and its data/ML ecosystem (pandas, NumPy, scikit-learn), writing maintainable, production-quality code. AWS: Hands-on experience building, training and deploying ML models on the AWS stack, ideally with experience ...

within the rail, energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

knowledge within the rail, energy ormining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

within the rail, energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

ensure successful implementation. Machine Learning Engineer, key skills: Experience: Proven background as a Machine Learning Engineer Programming 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) Expertise: Solid understanding ...

that level of detail Comfortable in profiling tools like Nsight or PyTorch Profiler, and monitoring stacks like Prometheus and Grafana Python for data work, Pandas and NumPy, plus general scripting Nice to have rather than essential: a postgraduate degree and research background (publications welcome), real depth on inference serving frameworks ...

including SFT and the principles of RLHF/RLAIF. Excellent Python development skills. Experience with frameworks and tools such as LangChain, Hugging Face Transformers, Pandas, DVC or Weights & Biases. Knowledge of model evaluation techniques, including BLEU, ROUGE and custom evaluation frameworks. Exposure to speech technologies, including Whisper, ElevenLabs, Bark ...