1 to 25 of 41 Remote/Hybrid Permanent Pandas Jobs

relational databases and big-data platforms within financial services. Proven experience delivering market data platforms supporting pricing and risk calculations. Technical Skills Strong Python (pandas, numpy, data engineering best practices). Advanced SQL and strong experience with Snowflake (schema design, warehouse management, streams/tasks, query optimisation). Experience building ...

Master’s or PhD) in Mathematics, Physics, Financial Engineering, or a closely related quantitative discipline. Advanced Python engineering capability (inc. NumPy/SciPy/Pandas). Strong understanding of derivatives pricing theory. Background working with commodity or equity options, including structured derivatives. Solid understanding of Greeks, risk measures, and valuation ...

home - Set up your home office exactly how you want it with a dedicated budget for comfort and productivity. Fuel and focus on-site - Pandas in Vienna, Bucharest, Barcelona, and Berlin can enjoy free onsite dining, with freshly prepared lunches and snacks to keep you fuelled and focused ...

imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed ...

data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling ...

experience in data analysis or data science (graduate roles, internships, placements, or academic projects welcome) 🐍 Strong Python experience for data analysis and modelling (pandas, NumPy, scikit-learn or similar) 🗄 Solid experience working with SQL and structured datasets ☁️ Hands-on experience using AWS (e.g. S3, RDS, Athena, Glue, or similar ...

hands-on experience with data analysis or machine learning (internships, placements, academic or commercial projects) 🐍 Strong Python fundamentals and exposure to libraries such as pandas, NumPy, and scikit-learn 🧮 A solid understanding of statistics, data wrangling, and model evaluation 🗄 Confidence working with SQL and structured datasets ☁️ Familiarity with cloud platforms ...

completed Master’s degree (Russell Group preferred) in Data Science, Computer Science, Mathematics, Physics, Engineering, or similar Excellent Python skills and ML foundations (e.g. pandas, NumPy, scikit-learn; strong coding practices matter) Strong grasp of model evaluation, statistics, and experimentation Confident working with data at scale using ...

internships/placements welcome in addition) Strong SQL skills and confidence working with relational data and large datasets Strong Python for analysis/automation (pandas, NumPy; good coding hygiene) Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards) Solid understanding of analytics fundamentals: data ...

team-focused mindset. Nice-to-Have Skills Exposure to cloud platforms like AWS, Azure, or GCP. Experience with data manipulation libraries like pandas or NumPy. Familiarity with APIs and working with large datasets. Understanding of version control systems like Git. Why Join Us? Professional Growth : Gain invaluable experience and mentorship ...

platforms within financial services. Proven experience working with historical market data and time series in a market risk context. Technical Skills Strong Python skills (pandas, numpy, data engineering best practices). Advanced SQL and strong experience with Snowflake (warehouse management, streams/tasks, query optimisation). Experience building scalable, production ...

domains. Experience with recommender systems, personalisation, or deep learning is desirable but not essential. Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. Good understanding ...

with new methodologies and contribute to our internal library of proprietary tools and frameworks. Technical Profile Expert Programming: Mastery of Python and its ecosystem (Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow). Experience writing production-ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine ...

entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

timeseries based predictions. Proven expertise in time-series forecasting and spatio-temporal modeling, ideally applied to weather or energy systems. Strong proficiency in Python (Pandas, NumPy, PyTorch, TensorFlow, scikit-learn, Lightning, or equivalent). Solid understanding of data engineering and ML infrastructure Experience deploying ML models to cloud-native environments ...

results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow ...

data and AI Required Skills: Experience in data science, machine learning, or applied analytics Strong proficiency in Python and common ML libraries (pandas, NumPy, scikit‐learn, TensorFlow, PyTorch) Experience designing, training, and evaluating machine‐learning models Solid understanding of statistical methods, predictive modelling, and experimental design Experience working with large ...

technical and non-technical stakeholders What we’re looking for Essential experience Strong grounding in statistical modelling, experimentation and inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert ...

managing applications with Azure and Docker. • Familiarity with frameworks like LangChain and Retrieval-Augmented Generation (RAG) models for AI-driven applications. • Experience with pandas for data manipulation. What’s on offer • Regular salary reviews recognising performance and contribution. • Generous annual leave: 25 days plus three days over Christmas. • Flexible hybrid ...

applied across domains such as NLP, computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version control, packaging and model deployment Experience training ...

commercial setting. Skilled at working with non-technical stakeholders to scope, design and deliver effective ML solutions. Proficient with the Python data science stack (pandas, scikit-learn, Jupyter, etc.) and version control tools like Git. Exposure to LLMOps, model monitoring, CI/CD and related technologies (Docker, MLflow, Kubernetes, FastAPI ...

technical audiences Mentor junior data scientists and help shape AI best practice Requirements Strong experience in AI, machine learning and statistics Python expertise (e.g. pandas, NumPy, scikit-learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services ...

productionise models Communicate insights to technical and non-technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability ...

business What we’re looking for Strong experience with Python and SQL (model building, analysis, visualisation) Solid understanding of data science techniques and libraries (Pandas, scikit-learn, supervised & unsupervised models, tree-based models) Proven experience with customer analytics (e.g. churn, CLTV, segmentation) - required Hands-on experience deploying ML models into ...

tabular data. Several years' experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment). Experience with cloud platforms, particularly ...