501 to 525 of 649 Pandas Jobs

insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to translate complex insights for non-technical More ❯

Strong Python skills Expertise in Python for data exploration analysis and development using libraries like Pandas Matplotlib and Sci kit Learn Experience with Jupyter Notebook for interactive coding Experience with Google cloud AI technologies is a plus NLP expertise Deep understanding of natural language processing concepts and experience using Hugging Face pipelines for tasks like text classification generation and entity More ❯

A/B tests on incentives and matching logic; recommend refinements. Turn insights into pricing rules, contract tweaks and product changes alongside Commercial, Product and Engineering. Tech toolkit Python (pandas, NumPy, scikit-learn) · SQL · Azure (migration in flight) · BI (Power BI/Tableau useful). Ideal background 3-5 yrs (Minimum) analytics in trading, marketplace, media or e-commerce settings. More ❯

architecture (AWS), infra design, and CI/CD Drive compute efficiency, cost-effectiveness, and sustainability Guide junior team members and improve engineering best practices 🧠 Your skillset: Expert Python dev (pandas, FastAPI, Pydantic) Strong ML/AI experience incl. AutoML, LLMs, HuggingFace, LangChain Proficiency in Linux, Git, PostgreSQL, and API development Experience deploying AI models in containerised, cloud-based environments Bonus More ❯

Quantitative Analysis at a financial institution, fintech firm, trading company, or commodities house. Strong programming skills , particularly in Python, with hands-on experience in the data science ecosystem (e.g. Pandas, scikit-learn or similar), and SQL. Experience with GUI development tools such as Dash, Panel, or equivalent is a plus. #J-18808-Ljbffr More ❯

and applying new concepts quickly. Collaborate with backend engineers to integrate systems and enable real-world applications. Iterate rapidly on projects using tools like Python and libraries such as Pandas for data analysis. Analyzing and optimizing our core supply operations, from energy trading to the finance function. Developing and pricing innovative products while strategizing their delivery. Minimum Requirements: STEM degree More ❯

of churn models on trade and provide clear, actionable results. Collaborate with cross-functional teams and stakeholders to ensure the implementation of insights. Technical Skills : Proficiency in Python (NumPy, Pandas) and SQL. Solid experience with data modeling, data analysis, and machine learning techniques. Ability to work with large datasets and extract valuable business insights. Duration : Initial 3-month contract. Location 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 ❯

to develop deep subject matter expertise. Effective communication and teamwork with data scientists and developers are crucial. Proficiency in Python and SQL; experience with libraries such as SciKit Learn, Pandas, Numpy is highly desirable. Experience with deep learning frameworks like Pytorch or TensorFlow. Understanding of the full data science project lifecycle, from problem definition to data engineering, modeling, and evaluation. More ❯

Shape key product and business metrics The Person Experience in a data/product/business analyst role (ideally in tech or SaaS) Strong SQL and Python skills (e.g. Pandas, NumPy) and confidence handling large, complex datasets Proficiency with BI tools (e.g. Tableau, Looker, Metabase) Excellent communication and data storytelling skills Comfortable working cross-functionally with technical and commercial teams More ❯

experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media More ❯

experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media More ❯

experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media More ❯

experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media More ❯

to display the following: At least 3 years commercial experience in a similar role - Data Analyst or Engineer Excellent SQL skills including (CTEs and window functions) Excellent Python skills (Pandas) Demonstrable knowledge of warehouses (tables, views & databases) Experience of Power BI Good relationship builder Ability to communicate well with both technical and non-technical colleagues Able to set own agenda More ❯

field. Proven experience in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing More ❯

field. Proven experience in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing More ❯

experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media More ❯

startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and experience with Docker, Kubernetes, MLFlow, Kubeflow, or similar MLOps tools. 📩 Interested? Apply below or email me at mmatysik@trg More ❯

startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and experience with Docker, Kubernetes, MLFlow, Kubeflow, or similar MLOps tools. 📩 Interested? Apply below or email me at mmatysik@trg More ❯

closely with both technical teams and business users. A self-starter who is proactive, detail-oriented, and committed to delivering value. 🌟 Nice to Have: Some experience in Python (e.g., pandas, seaborn, matplotlib). Familiarity with cloud platforms (AWS, Azure). Previous exposure to transport/rail industry data or commercial systems. If you are interested in this role, please apply. More ❯

and applying new concepts quickly Collaborate with backend engineers to integrate systems and enable real-world applications Iterate rapidly on projects using tools like Python and libraries such as Pandas for data analysis Analyze and optimize core supply operations, including energy trading and finance functions Develop and price innovative products while strategizing their delivery Requirements: STEM degree from a top More ❯

closely with both technical teams and business users. A self-starter who is proactive, detail-oriented, and committed to delivering value. Nice to Have: Some experience in Python (e.g., pandas, seaborn, matplotlib). Familiarity with cloud platforms (AWS, Azure). Previous exposure to transport/rail industry data or commercial systems. If you are interested in this role, please apply. More ❯

are looking for: 2+ years of experience in data science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data. Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). Comfortable working with SQL 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 ❯