151 to 175 of 247 Pandas Jobs in the UK

from those datasets. The ideal candidate should have strong Python and SQL skills and be proficient in data science libraries such as scikit-learn, pandas and XGBoost, as well as transformer-based NLP techniques. We are looking for someone who works well in a fast-moving team and communicates effectively ...

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 ...

role, including entity/relationship modelling, data profiling, and analysis on real business content Working knowledge of Python and SQL for data analysis, including pandas and notebook-based workflows, and one or more of: scikit-learn, spaCy (or another NLP library), or graph libraries Experience applying data-science techniques (statistical ...

role, including entity/relationship modelling, data profiling, and analysis on real business content Working knowledge of Python and SQL for data analysis, including pandas and notebook-based workflows, and one or more of: scikit-learn, spaCy (or another NLP library), or graph libraries Experience applying data-science techniques (statistical ...

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 ...

Deep understanding of Python Familiarity with Linux, bash, and the command line Familiarity with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self-explanatory code Understanding of software design patterns, SOLID and DRY principles, and architectural patterns Experience with Git/GitHub ...

with collaborative software development Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self-explanatory code Understanding of software design patterns, SOLID and DRY principles Experience with Git/GitHub and best practices ...

commodity markets, quantitative research and trading*** Strong quantitative, analytical and modelling skills* Strong **Python** skills for data analysis and modelling, including extensive experience with pandas and related libraries* Experience in data visualisation/dashboarding, ideally **Power BI*** An understanding of data engineering fundamentals including scheduling, automation, reproducibility, with a focus ...

Doctorate degree in Computer Science or related field Programming Skills : Advanced proficiency in Python, with hands-on experience in data science libraries (especially pandas) and a strong understanding of dataframe architecture for data manipulation, transformation, and analysis. Familiarity with Python-based data visualization tools is a plus. Database and Query ...

Data Science Data Visualization Deep Learning Generative AI Graph Algorithms Learning Agility Machine Learning (ML) Machine Learning Algorithms Neuro-Linguistic Programming (NLP) Organizational Awareness Pandas Python Library Python (Programming Language) R Programming Stakeholder Engagement Statistical Analysis Structured Query Language (SQL) Time Series Analysis Additional Information for China Candidates ...

clear and concise documentation and analysis. NICE TO HAVE BUT NOT ESSENTIAL Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience leading a team or owning a whole product domain Additional Information BENEFITS: Base salary of £60k - £85k (based on experience ...

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 ...

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 ...

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 ...

data for creating novel alpha signals Deep understanding of financial markets and market micro-structure Exceptional analytical and problem solving skills Expertise in using pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries for data analysis Comfortable taking ownership of projects and responsibilities with minimum supervision At least ...

production-quality software, with a good understanding of software engineering principles, testing and maintainable code. Familiarity with Python's scientific computing libraries, particularly NumPy, Pandas and SciPy. An understanding of equities markets, financial instruments and associated data. Credit experience would be advantageous but isn't essential. Why It's Worth ...

such as ClickHouse or similar technologies. Knowledge of partitioning, materialised views, and query optimisation techniques. Experience with numerical and data processing libraries including NumPy, pandas, Polars, or Arrow. Understanding of performance optimisation, memory usage, multiprocessing, or asynchronous Python. This opportunity would suit an engineer who enjoys solving complex data engineering ...

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 ...

Data Engineer A strong understanding of key Python concepts related to data engineering is needed as a foundation on which to build (e.g. Pandas, numpy, Python file handling, JSON) You possess solid understanding of AWS cloud environments, including S3, LAMBDA, RDS, AWS CDK or Terraform, Dynamo DB Have researched leveraging ...

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 ...