working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves more »
South East London, England, United Kingdom Hybrid / WFH Options
Climate Policy Radar
will be working in a tech team using a diverse tech stack including:Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask.Frontend: React, Next.js.Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases.Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect.Who you areMust haves:Experience using Python more »
skills with SQL, working with large and complex data sets to extract insights and identify trends Advanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and Git A strong background in machine learning for customer and marketing purposes more »
in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our more »
strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch, Apache Spark etc. oPractical proficiency in producing reproducible code and pipelines including documentation, governance and assurance frameworks, automation and more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
development, including research and developing new propositions. • Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow more »
development, including research and developing new propositions.• Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP).• Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling.• Python libraries for data management, statistical analysis, machine learning, and visualisation.• Machine learning frameworks such as TensorFlow more »
Greater London, England, United Kingdom Hybrid / WFH Options
Annalect
data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery Experience of using git for version control (e.g. BitBucket) Experience with Jupyter Notebooks Competencies Enquiring/questioning mind Ability to pick up new tools and keen to embrace new technologies and the ability to overcome the challenges more »
to practice development, including research and developing new propositions.Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP).Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling.Python libraries for data management, statistical analysis, machine learning, and visualisation.Machine learning frameworks such as TensorFlow and PyTorch.Knowledge more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
development, including research and developing new propositions. Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow more »
a focus on Mid to High Frequency equities Strong Python programming experience (KDV/Q would be a bonus) Good knowledge and understanding of Jupyter, Pandasm Numpy, Sklearn Demonstrated knowledge and understanding of mathematical modelling, statistical analysis and probability theory. Experienced in conducting alpha research Demonstrated successful in building uncorrelated more »
and Digital and TV attribution. Excellent data visualization and storytelling capabilities. Proficiency in coding, preferably in R or Python; experience with R Studio or Jupyter notebooks is a plus. Solid proficiency in Excel and PowerPoint. more »