176 to 200 of 249 Permanent Pandas Jobs

confidence intervals, and causal inference Experience designing and evaluating marketing experiments and lift studies Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments Understanding of digital advertising platforms ...

experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima a happy and empowering ...

. Good understanding of data analysis, statistical modelling and machine learning techniques. Experience using AI/ML frameworks and libraries including TensorFlow, PyTorch, Keras, Pandas, Matplotlib and Scikit-learn. Knowledge of mathematics including calculus, probability, statistics, linear algebra and optimisation. Strong computer science fundamentals including algorithms, data structures and parallel ...

Pulumi) and containerization (Docker and AWS ECS/Kubernetes). Experience with Kafka. Experience working alongside data scientists in the "PyData" ecosystem (Numpy, Pandas) is desirable. Familiarity with some of the other tools in our stack is desirable: Redis Postgres Airflow Spark This is a hybrid role based in London ...

hours. Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Salesforce, Python (Jupyter Notebook, Pandas, Requests, etc.), Bloomberg, Thomson Reuters, or other common financial services systems and applications. Our Values Act Like an Owner - Think and operate with intention, purpose ...

data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series ...

skills, with the ability to query, join, and manipulate large and complex datasets Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy) Ability to understand new datasets quickly and extract meaningful insights. Experience working with large, complex datasets across multiple sources. Proficiency in data visualisation tools ...

with sales and project management data in tools like Salesforce or similar. Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience working with payments or transactions data. Additional Information PROCESS 1) Screening call with recruiter - 30 mins 2) Take home Case ...

solid understanding of database design principles. Familiarity with data visualisation tools such as Power BI, Tableau or Looker. Some knowledge of Python (e.g. pandas, boto3, or the Snowflake connector) for scripting, automation and pipeline development is a plus. Comfort exploring and evaluating AI-assisted data tooling for reporting and analysis ...

experience working within financial services, banking, fintech, payments, risk management, or e-commerce environments. 3+ years of experience performing advanced analytics using Python (including pandas, scikit-learn, and matplotlib), R, or similar analytical tools. Strong proficiency with SQL and Excel for data analysis, reporting, and performance monitoring. Experience investigating fraud ...

REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning ...

like PostgreSQL, and familiarity with cloud platforms such as AWS and Azure. Ideal candidates will have strong skills in Python libraries including NumPy and Pandas, along with experience in DevOps practices using CI/CD pipelines. This position offers a hybrid work environment based in Greater London. #J-18808-Ljbffr ...

Data Analyst, ideally within FinTech or Financial Services Exposure to Derivatives or other Financial instruments Strong SQL experience Strong Python experience (PySpark, Pandas, Jupyter Notebooks etc.) Airflow/Algo for workflow management Git Any exposure to compressed file formats, such as Parquet or HDF5, is highly advantageous Linux/Bash ...

role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with ...

team evolves Skills & Experience: 1-3 years' Data Science experience, or equivalent demonstrated experience through graduate work, projects or competitions Strong Python skills, particularly pandas and NumPy Strong SQL skills, including CTEs, window functions and aggregation A solid understanding of applied statistics, including hypothesis testing and confidence intervals MMM (Marketing ...

parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object‐oriented programming is beneficial. Publications at top conferences, such as NeurIPS, ICML or ICLR, are highly desirable. Why should ...

knowledge within the rail, energy ormining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

e.g., Data Factory, Synapse, Data Lake). Practical experience with Microsoft Fabric and modern cloud data architectures. Experience in data processing libraries such as Pandas, NumPy or Polars. Proven leadership skills with experience guiding and developing engineering teams. Highly adaptable, thriving in fast-paced, evolving environments. Strong proactivity and ownership ...

within the rail, energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

mindset. Curious and willing to onward develop and learn. Desireable criteria Relevant higher degree (Masters or PhD) Experience with Python, including libraries such as Pandas and Geopandas. Experience with Ruby scripting in Infoworks ICM Exchange. Experience with Software Engineering/Data Science in the Wastewater sector. Familiarity with cloud computing ...

quant research and/or ML/Deep Learning platforms. Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.) Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles ...

potential. Technically Proficient: Strong software development skills in (Python and a compiled language). Experience and comfort working with data using libraries such as Pandas, Polars, or NumPy. You will have exceptional quantitative, logical reasoning, and analytical skills. Problem Solver: When it comes to solving problems, you use clear ...

Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis, and for scripting dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic ...

years in Python development. Responsibilities include building backend applications, data processing pipelines, and collaborating with financial teams. Proficiencies in SQL, leveraging libraries like Pandas and NumPy, and RESTful API development are essential. The role promises a dynamic environment in investment banking within a collaborative setting. #J-18808-Ljbffr ...

Analyst. Experience developing forecasting or predictive models using machine learning techniques. Strong Python programming skills and experience with common data science libraries such as Pandas, NumPy and Scikit-learn. A solid understanding of statistics, time-series analysis and predictive modelling. #J-18808-Ljbffr ...