trading Requirements: Bachelor's degree or higher in CS, Engineering or other technical discipline Demonstrated ability to program in a scientific computing environment, preferably in Python/NumPy/Pandas and Java/C++ Experience working with distributed systems and large data sets Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or tick databases More ❯
Qualifications: Master's degree in Computer Science, Information Systems, Engineering, or equivalent experience in a scientific/technical discipline. Strong experience with Python and its data ecosystem (e.g., NumPy, pandas, scikit-learn). Proficiency in Java or Scala for developing scalable backend systems and data pipelines. Solid understanding of SQL and relational databases (e.g., MySQL, PostgreSQL, Hive). Familiarity with More ❯
in place of a degree Experience with the following Data Science technologies Various machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.) Data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.) Data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker) Experience implementing the data science process, developing experiments, reporting and explaining results More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch More ❯
data validation processes Ensure integration with internal data sources and reporting tools Required Skills 5+ years of Python development experience, ideally in financial services or commodities Strong proficiency in Pandas , NumPy , and time-series data manipulation Proven experience with FastAPI or Flask Familiarity with large datasets and real-time data pipelines Excellent debugging, profiling, and performance optimization skills Strong communication More ❯
data validation processes. Integrate with market data, storage systems, and reporting platforms. Required Skills 5+ years' Python development experience, ideally within trading, risk, or financial services. Strong background with Pandas, NumPy, and data science libraries . Hands-on experience with Flask or FastAPI for API development. Proficiency in time-series data manipulation and back-testing methods. Experience working with large More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Serve Legal
rapid MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification More ❯
or related field (or equivalent experience) 3-5 years of experience in data engineering (healthcare/medical devices preferred but not required) Strong Python programming and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/ More ❯
e.g., ingesting data, cleaning, etc.). Experience with Software/Data Science Concepts: Understanding of data structures, algorithms, and common data science techniques. Experience with data science tools like Pandas, NumPy, or similar libraries for data manipulation. Experience with Cloud/Distributed Systems: Familiarity with cloud platforms (AWS, Azure, etc.) is a plus, especially if the data pipeline is running More ❯
residence. Proficient in designing, developing, and maintaining RESTful APIs for data services using Python frameworks such as FastAPI, Flask, or Django. Strong experience with Python's data ecosystem (e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake More ❯
Ashburn, Virginia, United States Hybrid / WFH Options
Unissant
accesses, and loading. Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc. ETL/ELT Concepts Data warehouse concepts SQL Competency in data exploration, analytics, and feature engineering. (Python Specific) Pandas/NumPy/Polars/PySpark Plotly/Matplotlib (some form of data visualization) Data encoding/normalizing/regularizing/etc. Understanding of Deep learning concepts and architectures like More ❯
with and a team of software engineers and must have working familiarity with one or more programming languages (our stack includes C, C++, Go/Golang, Rust, Python, numpy, pandas, and TypeScript/JavaScript) with ability to understand and describe existing customer mission systems, APIs, and performance requirements. Lead a blended team of customer operators and engineering teams to develop More ❯
East London, London, United Kingdom Hybrid / WFH Options
InfinityQuest Ltd,
Description:- Data Engineer (Python enterprise developer): 6+ years of experience in python scripting. Proficient in developing applications in Python language. Exposed to python-oriented Algorithms libraries such as NumPy, pandas, beautiful soup, Selenium, pdfplumber, Requests etc. Proficient in SQL programming, Postgres SQL. Knowledge on DevOps like CI/CD, Jenkins, Git. Experience working with AWS(S3) and Azure Databricks. Have More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. More ❯
Sheffield, South Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
My Finance Club
sorting, data filtering, pivot tables, vlookup, SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. More ❯
with Retrieval-Augmented Generation (RAG) and prompt engineering. Proficiency in advanced statistical and machine learning techniques. Hands-on experience with big data processing tools: Hadoop, Spark, Kafka, Hive, NumPy, Pandas, Matplotlib. Familiarity with CI/CD and MLOps frameworks such as MLflow and Weights & Biases. Experience in building and managing large-scale distributed systems. Strong system architecture and RESTful API More ❯
MLOps to produce analytical or visual products Knowledge of data formats such as JSON, Parquet, Avro, or CSV Ability to work with Dataframes and SQL utilizing Spark, PySpark, Python Pandas, or Polars Ability to report findings and research clearly and concisely for clients Secret clearance Bachelor's degree in a Computer Science or Computer Engineering field and 2+ years of More ❯
data cycle. - Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD - Coding experience in Apache Spark, Iceberg or Python (Pandas) - Experience in change and release management. - Experience in Database Warehouse design and data modelling - Experience managing Data Migration projects. - Cloud data platform development and deployment. - Experience of performance tuning in More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch More ❯
to write ad-hoc and complex queries to perform data analysis. Databricks experience is essential. Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud). You must be able to collaborate seamlessly across diverse technical More ❯
