1 to 25 of 155 Pandas Jobs

learning methods and large language models. Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit-learn, pandas). Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders. Experience designing experiments, training ...

deep learning methods and large language models.\ NExtensive experiencewith ML/DL toolkits and libraries (e.G., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit-learn, pandas).\ NDemonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.\ NExperience designingexperiments, training frameworks ...

decisions. Required Skills & Experience Strong analytical skills with experience working with large-scale and unstructured datasets. Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step ...

such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying ...

such as Economics.\ NProfessional experience in a data science, ML engineering, or applied data role.\ NStrong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework.\ NWorking knowledge ofBedrock and other AWS managed services.\ NDemonstrable experience building and deploying ...

such as Economics.\ NProfessional experience in a data science, ML engineering, or applied data role.\ NStrong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework.\ NWorking knowledge ofBedrock and other AWS managed services.\ NDemonstrable experience building and deploying ...

team Collaborate with your peers on technical direction within your team Required Experience: Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

clearly Required Qualifications Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics , or related field Strong foundation in Python (Pandas, NumPy, Scikit-learn) Understanding of machine learning concepts (regression, classification, clustering) Experience with data visualization tools (Matplotlib, Seaborn, or similar) Familiarity with SQL and working ...

architecture, mentor engineers and scientists, lead applied research initiatives What You'll Bring Technical Expertise: Strong Python skills with the ML stack: NumPy, pandas, scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ...

models that perform reliably in complex operational environments. What We’re Looking For Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations ...

technologies and identify opportunities to improve business efficiency through intelligent automation. Skills & Experience Strong Python programming skills with experience using libraries such as Pandas, NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib. Experience developing machine learning models for prediction, optimisation or classification. Strong SQL skills ...

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 ...

function calling, agentic workflows), including evaluation and safety patterns. Expertise with machine learning frameworks and data science packages (e.g., PyTorch, TensorFlow, Scikit‐Learn, NumPy, Pandas, SciPy, statsmodels). Experience deploying to AWS (e.g., SageMaker, Bedrock) and operating production workloads with attention to cost, performance, security, and scaling. Experience integrating human ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

structured, semi-structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical ...

Experience monitoring, maintaining, enhancing existing models over an extended time period \n Extensive experience with pytorch and related data science python libraries (e.g. pandas) \n Experience of containerising applications or models for deployment (Docker) \n Experience with one of the major public cloud providers (Azure, AWS, GCP) \n Ability ...

versioning, 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 ...

reproducibility, observability etc.\ NExperience monitoring, maintaining, enhancing existing models over an extended time period\ NExtensive experiencewith pytorch and related data science python libraries (e.G. pandas)\ NExperience of containerising applications or models for deployment (Docker)\ NExperience with one of the major public cloud providers (Azure, AWS, GCP)\ NAbility to communicate technical ...

observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive 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 stakeholders to translate business challenges into analytical solutions Supporting model monitoring, optimisation and drift detection Core Skills and Experience Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation Advanced SQL skills for querying structured datasets Proven experience developing and validating machine learning models Experience ...

scale distributed systems in an agile environment and the ability to build quick prototypes - Excellent knowledge of Python and core data science libraries including Pandas, NumPy and other similar libraries - Experience mentoring junior team members - Excellent problem solving and communication skills Preferred Qualifications - Knowledge of the healthcare domain and experience ...

scale distributed systems in an agile environment and the ability to build quick prototypes - Excellent knowledge of Python and core data science libraries including Pandas, NumPy and other similar libraries - Experience mentoring junior team members - Excellent problem solving and communication skills Preferred Qualifications - Knowledge of the healthcare domain and experience ...

with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...