251 to 275 of 457 Pandas Jobs

for Master’s degree (or higher) Data Science, Computer Science, Mathematics, Statistics, Physics, or Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis Strong problem-solving and critical thinking skills Excellent communication and presentation abilities What’s on More ❯

measurable business outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong leadership in project delivery, architecture, and technical decision-making. 💡Excellent communicator, able to simplify complex ideas for any audience. 📈Strategic More ❯

measurable business outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong leadership in project delivery, architecture, and technical decision-making. 💡Excellent communicator, able to simplify complex ideas for any audience. 📈Strategic More ❯

Stay informed on emerging trends, technologies, and best practices in data science. Experience Required: Proven experience as a Data Scientist with proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Plotly. Strong background in statistical modelling, machine learning, and data mining, with experience working on time-series data. Knowledge of data engineering principles, including pipelines, databases More ❯

Participate in system release cycles, post-trade analysis, and incident reviews to drive continuous improvement and operational resilience. Required Skills & Experience Strong Python skills, including scripting and data analysis (Pandas, NumPy). Advanced SQL experience (PostgreSQL or similar) working with large, real-time datasets. Proven Linux system administration experience, including shell scripting, process monitoring, and performance optimization in low-latency More ❯

Participate in system release cycles, post-trade analysis, and incident reviews to drive continuous improvement and operational resilience. Required Skills & Experience Strong Python skills, including scripting and data analysis (Pandas, NumPy). Advanced SQL experience (PostgreSQL or similar) working with large, real-time datasets. Proven Linux system administration experience, including shell scripting, process monitoring, and performance optimization in low-latency More ❯

Programming: Strong understanding of OOP principles, functions, classes, list comprehensions, generators, and exception handling. Experience managing virtual environments and dependencies using pip or venv. Data Manipulation & Analysis: Proficiency with Pandas , NumPy (and optionally Polars). Strong data cleaning, transformation, grouping, merging, and aggregation skills. Experience with SQL for data querying. Software Engineering Best Practices: Experience with Git for version control. More ❯

wholesale, retail, or distribution environment. High proficiency in SQL and Excel for data extraction and manipulation. Experience using Power BI or Tableau for dashboards and visualisation. Familiarity with Python (pandas, numpy) for advanced analytics and automation. Commercially focused mindset with the ability to connect data to business impact. Confident communicator who can explain complex insights to non-technical audiences. Experience More ❯

or related field 3+ years of experience in machine learning or AI development Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas) Solid understanding of machine learning algorithms and statistical modeling Experience with big data technologies (e.g., Hadoop, Spark, Kafka) Proven ability to create and implement big data solutions from scratch Comfortable More ❯

machine learning models and training workflows using PyTorch or TensorFlow. Develop and maintain end-to-end ML pipelines, from data preprocessing to model deployment. Leverage the Python ecosystem (NumPy, pandas, scikit-learn, spaCy, NLTK, Hugging Face Transformers) for feature engineering, model development, and evaluation. Manage and track machine learning experiments using MLflow, ensuring reproducibility, versioning, and lifecycle management. Collaborate with More ❯

improve infrastructure, code, and surrounding processes. Ability to write high-quality code in Python 3 and C++. General understanding of ML and experience working with basic models. Proficiency with pandas/pyspark or similar libraries for data analysis. Benefits A dynamic and international environment within a fast-growing tech company. Competitive salary at the upper end of the market, along More ❯

models to production Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn etc.) Experience with SQL, Power BI, Git & GitHub Strong knowledge of Machine Learning Algorithms and respective theory Ability to work within a team, collaborating effectively with colleagues Strong More ❯

improve infrastructure, code, and surrounding processes Ability to write high quality code in Python 3 and C++ General understanding of ML and experience working with basic models Proficiency with pandas, pyspark or similar libraries for data analysis Benefits A dynamic and international environment within a fast growing tech company Competitive salary at the upper end of the market, along with More ❯

or related pricing/trading systems Solid understanding of algorithms, data structures, and design patterns Experience with relational and NoSQL databases (PostgreSQL, Redis, MongoDB) Proficiency in data processing using pandas, NumPy , and working with APIs Understanding of CI/CD pipelines and DevOps practices Preferred: Quantitative analysis, financial modeling, or experience with trading systems Familiarity with distributed systems and event More ❯

or related pricing/trading systems Solid understanding of algorithms, data structures, and design patterns Experience with relational and NoSQL databases (PostgreSQL, Redis, MongoDB) Proficiency in data processing using pandas, NumPy , and working with APIs Understanding of CI/CD pipelines and DevOps practices Preferred: Quantitative analysis, financial modeling, or experience with trading systems Familiarity with distributed systems and event More ❯

networks is a plus) Experience with cheminformatics tools such as RDKit or Open Babel. Familiar with computational chemistry techniques, such as DFT, MD, or atomistic modeling Proficient in Python (pandas, NumPy, scikit-learn, Tensorflow, PyTorch, Bayesian Optimization) and SQL for data manipulation and analysis. Knowledge of molecular graph neural networks is a strong plus Competitive salary and equity compensation commensurate More ❯

What skills should I have? As our Data Scientist you will have: At least 2 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/CD) Familiar with cloud More ❯

skills should I have? As our Senior Data Scientist you will have: At least 4 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/CD) Familiar with cloud More ❯

Tableau and Power BI to present financial metrics, trends, and insights for data-driven decision making in enterprise resource allocation and project prioritization; Build self-serve analytics model in pandas-Python library for productivity tracking and optimizing reporting processes to be served directly to stakeholders; Develop business process automation for manual and repetitive tasks related to compliance payment review using More ❯

present insights to non-technical stakeholders. Qualifications Requirements: Bachelor's or Master's in Computer Science, Statistics, or Data Science. Basic knowledge of Python/R and libraries like Pandas, Scikit-learn, or NumPy. Understanding of statistics, probability, and machine learning fundamentals. Additional Information These trainee roles are offered in collaboration with Sajix's init py program-a structured, hands More ❯

key strategic initiatives, including price, volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge More ❯

key strategic initiatives, including price, volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge More ❯

workflows, insightful dashboards) Big Data Analytics & Data Visualization Specialists Core Skills & Qualifications: Strong programming skills in data manipulation, analysis, and automation (Python, or similar) Experience with data processing libraries (pandas, numpy, ect) Experience with data visualization libraries (matplotlib, plotly, ect) Experience in big data analytics and data visualization . Proficiency with tools such as Splunk , Tableau , or Power BI . More ❯

datasources Production NLP or LLM experience (e.g. spacy, langchain, extensive LLM API usage) Significant experience building and maintaining data pipelines in a production environment Strong database/SQL, python, pandas (or equivalent) experience Demonstrated experience working in fast paced startup or research environments and balancing quick iterations with long term quality. Strong Additional Qualifications: Significant healthcare data experience Significant MLE More ❯

in data science, including at least 2-3 years in a lead/principal role. Strong background in applied machine learning, statistical modeling, and predictive analytics. Proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch/TensorFlow) and SQL; experience with big data tools (Spark, Databricks) is a plus. Strong understanding of model deployment, MLOps practices, and productionizing ML solutions. More ❯