76 to 100 of 111 Permanent Pandas Jobs

data scientists to develop and productionise models Troubleshoot, debug, and refine model code Partner with cross-functional teams to translate business needs into data-driven solutions Essential skills: Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering SQL – querying structured datasets Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines More ❯

data scientists to develop and productionise models Troubleshoot, debug, and refine model code Partner with cross-functional teams to translate business needs into data-driven solutions Essential skills: Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering SQL – querying structured datasets Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines More ❯

Contribute to ethical AI assurance by identifying and documenting model limitations and risks. Essential Skills & Experience Proficient in Python with a strong command of data science libraries such as pandas, NumPy, scikit-learn, and similar tools. Experience designing experiments and validating machine learning models with appropriate statistical rigor. Deep understanding of machine learning performance metrics and statistical evaluation techniques. Knowledge More ❯

and communicate findings in a clear, concise manner. Collaborate with the data engineering team to maintain good data hygiene and integration. Essential Requirements Proficiency in Python for data analysis (pandas, NumPy, matplotlib/seaborn). Solid foundation in statistics: distributions, hypothesis testing, confidence intervals, regression. Experience working with structured datasets Ability to produce clear, well-commented code and visual outputs More ❯

Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯

problemsPreferred Skill Sets Familiarity with Oracle Exadata Familiarity with SingleStore/Mysql is a big plus Experience with Python, exposure to DB connect libs and others like requests, json, pandas etc Oil and Gas Industry experience Ashish MadanuTeam Ext : 6252Direct Number Make Higher Net-Pay , switch to our payroll within hours : Click to Know More Give 100, Get 100 : Click More ❯

in sport, gaming, or similar domains with forecasting needs. 2+ years working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational More ❯

Bring 3+ years experience in Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Strong client-facing consulting or B2B experience Ability to build and create prototypes in a fast-paced environment BSc/MSc More ❯

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯

using open-source software like Python, R, etc. Engineering Degree in computer science or any relevant engineering field. Tools and Framework: PyTorch, Python, R, TensorFlow, Keras, skit learn, NumPy, pandas Design and develop end-to-end GenAI solutions on top of life sciences regulatory and medical data, using LLMs and agent-based architectures. Packaging and deploying scalable Python-based APIs More ❯

state-of-the-art areas (e.g. NLP, Transfer Learning) and modern Deep Learning algorithms (e.g. BERT, LSTM) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit-Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling missing data) Solid understanding of statistics; hypothesis testing, probability distributions, sampling techniques Private Health Care More ❯

analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive 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 goalsExperience with big data and scalable model training More ❯

decisions across underwriting, fraud, and customer conversion. A hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Behavioural or credit modelling experience Solid grasp of ML algorithms, model drift, and monitoring Clear communicator across technical and non-technical teams Strong data visualisation, ideas More ❯

decisions across underwriting, fraud, and customer conversion. A hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Behavioural or credit modelling experience Solid grasp of ML algorithms, model drift, and monitoring Clear communicator across technical and non-technical teams Strong data visualisation, ideas More ❯

decisions across underwriting, fraud, and customer conversion. A hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Behavioural or credit modelling experience Solid grasp of ML algorithms, model drift, and monitoring Clear communicator across technical and non-technical teams Strong data visualisation, ideas More ❯

decisions across underwriting, fraud, and customer conversion. A hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Behavioural or credit modelling experience Solid grasp of ML algorithms, model drift, and monitoring Clear communicator across technical and non-technical teams Strong data visualisation, ideas More ❯

decisions across underwriting, fraud, and customer conversion. A hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What You’ll Bring Strong Python (pandas, sklearn) and advanced SQL Behavioural or credit modelling experience Solid grasp of ML algorithms, model drift, and monitoring Clear communicator across technical and non-technical teams Strong data visualisation, ideas More ❯

guide a team of data scientists, driving technical excellence. Collaborate with clients to define problems and deliver measurable impact. Stay hands-on with Python and modern data science tools (pandas, scikit-learn, etc.). Requirements Proven experience leading end-to-end data science projects. Expertise in machine learning, statistical modelling, and optimisation. Strong coding skills (Python, cloud platforms, ML frameworks More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

years, bachelor's with 8 years, master's with 6 years, or PhD with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain complex data More ❯

DTS is looking for AI Developer for our direct client Position in Lansing, MI. Top Skills & Years of Experience: 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. 3+ years in microservices. 3+years in SpaCy, NLTK, or Hugging Face's 3+years More ❯

Position justification: The position is responsible for providing ongoing maintenance and support of GCP applications such as Document AI (DOC AI) for vital records MDHHS within our department. The DOC AI is a Google Cloud product that is used to More ❯