226 to 250 of 617 Pandas Jobs

Proven hands-on expertise with GCP services (BigQuery, Cloud Storage, Dataflow) Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have: Knowledge of data governance, quality More ❯

Graduate/postgraduate degree in engineering, mathematics, physics, or statistics. Experience in financial services, insurance, or e-commerce. Familiarity with cloud-based deployment, neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas, SQL, API development, or CI/CD pipelines. Background in software engineering or DevOps/MLOps. RSG Plc is acting as an Employment Business in relation to this vacancy. More ❯

Graduate/postgraduate degree in engineering, mathematics, physics, or statistics. Experience in financial services, insurance, or e-commerce. Familiarity with cloud-based deployment, neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas, SQL, API development, or CI/CD pipelines. Background in software engineering or DevOps/MLOps. RSG Plc is acting as an Employment Business in relation to this vacancy. More ❯

Python. Python Development: Develop and maintain Python code for data processing, API development, and integration with the Azure Databricks environment. Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). Collaborate with cross-functional teams to build and enhance banking applications Work closely with UI/UX Designers to integrate visualizations seamlessly into web applications or other platforms More ❯

Python. Python Development: Develop and maintain Python code for data processing, API development, and integration with the Azure Databricks environment. Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). Collaborate with cross-functional teams to build and enhance banking applications Work closely with UI/UX Designers to integrate visualizations seamlessly into web applications or other platforms More ❯

dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO More ❯

framework using existing features Optimize code for larger scale work Create new features using additional database (KDB preferred) Preferred Technical Skills: Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University Expert in Python (KDB/ More ❯

scalable workflows. Help grow and shape the data science team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms More ❯

WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and we will be in More ❯

a related field. 3+ years of experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to writing clean, well-tested More ❯

a related field. 3+ years of experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to writing clean, well-tested More ❯

dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO) Desired Skills and Experience 8+ years More ❯

to the wider strategy by supporting innovation pilots, data quality initiatives, and automation projects. What You’ll Need Strong experience in Python, SQL, and common data science libraries (e.g. pandas, scikit-learn, NumPy). Experience in developing, testing, and deploying data models in a real-world business setting. Comfortable working with unstructured data and navigating ambiguity in fast-paced environments. More ❯

join our data function at a key stage of our growth. We are looking for someone who: Can demonstrate a strong technical data skillset in regard to Python, Spark, Pandas, SQL, NoSQL. Has strong experience working with modern database platforms such as Cosmos, Athena, and MySQL. Is comfortable with both NoSQL and relational database design. Able to use Airflow to More ❯

yrs professional experience in Trading, Structuring, Risk or Quant role, in Financial institution, Fintech, Trading house, or Commodities house. Strong coding skills required: Python, proficiency in data science stack (Pandas, scikit-learn or equivalent), SQL. Familiarity with GUI development (Dash, Panel or equivalent). Experience designing, developing and deploying trading tools and GUIs and at least one of the following More ❯

a related field. 3+ years of experience as a Quant Developer or in a similar role. Strong programming skills in Python and C++. Experience with Python data science tools (Pandas, Numpy, Scikit-learn). Exceptional coding, debugging, and analytical abilities. Strong problem-solving and communication skills. Ownership mentality with the ability to multitask effectively. Commitment to writing clean, well-tested More ❯

and develop both new and existing services. Require 2-5 years of software development experience in writing high-quality, testable code. Experience with Python and core libraries such as Pandas and Numpy required. Experience with web development libraries such as Flask, Django, or FastAPI. Understanding of SQL and working with databases (reading/writing data). Experience with data visualisation More ❯

understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and More ❯

approaches. Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll More ❯

to work on fast-paced projects and have outstanding communication skills with both financial and technical people. Skills and Experience Required 3-8 years' experience, ideally developing with Python (pandas/numpy) Solid analytical problem-solving skills React/Angular experience developing web frontends Working knowledge of SQL and other database technologies. Desirable Experience/Skills Financial markets experience in More ❯

SQLAlchemy or other Python ORMs Previous exposure to Ad-Tech tools and datasets (DSPs, SSPs, IP ranges, user identifiers, etc.) Understanding of ML tools and libraries (e.g. PyTorch, TensorFlow, Pandas, NumPy) Benefits of joining them: Competitive salary plus performance-based bonus and equity Fully remote within the UK Private health, dental, and vision insurance Generous annual leave and enhanced parental More ❯

backed by minimum A A A grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and Data Bricks You're collaborative with excellent communication skills, comfortable More ❯

Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills More ❯

generate analytics that enhance client service, partnering with traders, salespeople, and strategists across asset classes to promote platform adoption and deliver relevant, timely content. Key technologies include Python, Jupyter, Pandas, Trino, and SQL. RESPONSIBILITIES AND QUALIFICATIONS: Design and implement programmatic solutions to meet client needs Proficient in scripting languages such as Python Knowledge of data science and machine learning Strong More ❯

closely with Strategy Managers and Researchers to develop tools & frameworks that facilitate the day-to-day operation of trading pipelines. They use Amazon S3 for data storage, Python libraries (Pandas) for data manipulation, Kafka for event-based data transformations, which are deployed using Octopus Deploy. Familiarity with some or all of these will be beneficial but not essential. This role More ❯