26 to 50 of 79 Pandas Jobs in the City of London

phase of expansion. You'll be 100% hands-on, with the opportunity to step into a leadership role as the team scales. Tech Stack - Python, FastAPI, AWS, PostgreSQL, NumPy, Pandas What You’ll Be Doing - Designing, building, and maintaining scalable backend systems for AI-driven healthcare solutions. Working closely with the ML engineers to integrate AI/ML models into More ❯

Analytical mindset with interest in systematic trading and quantitative research Nice to Have Exposure to trading systems, market data, or algo/bot development Familiarity with numerical libraries (NumPy, Pandas, Numba, etc.) Understanding of version control, CI/CD, or distributed computing More ❯

Analytical mindset with interest in systematic trading and quantitative research Nice to Have Exposure to trading systems, market data, or algo/bot development Familiarity with numerical libraries (NumPy, Pandas, Numba, etc.) Understanding of version control, CI/CD, or distributed computing More ❯

Build data quality checks to ensure accuracy, consistency, and coverage. Requirements: 1-3 years' experience as a Data Engineer, ideally from Big Tech or finance. Advanced Python skills, including pandas and Linux proficiency. Experience with and knowledge of SQL, Experience with ETL pipelines and data lifecycle management. Familiarity with AWS cloud infrastructure. Ability to start within 3 months (notice and More ❯

and pipelines. Required Skills and Qualifications Core Technical Skills Skill Area Requirements Programming Strong proficiency in Python for data manipulation and scripting. Familiarity with standard Python data libraries (e.g., Pandas, NumPy ). Database Expert-level proficiency in SQL (Structured Query Language). Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational understanding of Big Data More ❯

a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and More ❯

a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and More ❯

years’ experience in data engineering, analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from More ❯

years’ experience in data engineering, analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from More ❯

Devs. This is an opportunity to take a leading role, collaborating directly with Fixed Income trader, at a firm at the very top of the buy-side space. Python, Pandas, SQL, AWS If you have strong fixed income product experience, and are an experience python developer - lets chat. More ❯

Devs. This is an opportunity to take a leading role, collaborating directly with Fixed Income trader, at a firm at the very top of the buy-side space. Python, Pandas, SQL, AWS If you have strong fixed income product experience, and are an experience python developer - lets chat. More ❯

with experience applying statistics and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling. Ability to communicate complex findings in a clear, business-relevant way. Experience working collaboratively in agile, cross-functional teams. Please More ❯

engineering experience, ideally in Treasury or from a hedge fund/buy-side firm Expertise in Python for designing and optimising complex applications Strong proficiency in data tools like Pandas, NumPy, SQL, and real-time data processing Familiarity with DevOps practices, including Linux, cloud platforms, and CI/CD (Docker/Kubernetes is desirable but not essential). Strong communication 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 ❯

engineering experience, ideally in Treasury or from a hedge fund/buy-side firm Expertise in Python for designing and optimising complex applications Strong proficiency in data tools like Pandas, NumPy, SQL, and real-time data processing Familiarity with DevOps practices, including Linux, cloud platforms, and CI/CD (Docker/Kubernetes is desirable but not essential). Strong communication 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 ❯

modern data platforms and cloud technologies. Key Responsibilities: Develop, test, and deploy scalable data engineering solutions using Python . Build and maintain data pipelines leveraging libraries such as NumPy, pandas, BeautifulSoup, Selenium, pdfplumber, and Requests . Write and optimize complex SQL queries and manage databases including PostgreSQL . Integrate and automate workflows using DevOps tools (e.g., CI/CD, Jenkins More ❯

modern data platforms and cloud technologies. Key Responsibilities: Develop, test, and deploy scalable data engineering solutions using Python . Build and maintain data pipelines leveraging libraries such as NumPy, pandas, BeautifulSoup, Selenium, pdfplumber, and Requests . Write and optimize complex SQL queries and manage databases including PostgreSQL . Integrate and automate workflows using DevOps tools (e.g., CI/CD, Jenkins More ❯

Technical & Analytical Skills Hands-on experience with large data sets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to More ❯

Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex More ❯

Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex More ❯

to join this team, and to work on data and trading infrastructure and a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for More ❯

to join this team, and to work on data and trading infrastructure and a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for More ❯

skills required: 3+ years working as a 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 highly advantageous Linux/Bash skills highly desirable Please More ❯

skills required: 3+ years working as a 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 highly advantageous Linux/Bash skills highly desirable Please More ❯