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 »
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 »
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 »
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 »
leverage the data in detecting and mitigating abusive HTTP L7 layer traffic. Tech stack includes Go, Python, JavaScript, Rust, Lua, Kafka, Kubernetes, ClickHouse, PostgreSQL, Jupyter notebook.Examples of desirable skills, knowledge and experienceLead and grow engineering teams committed to building the innovative security productsBe a strategic thinker, be able to influence 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 »
S3 Cloud Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Data Platforms: Creating data pipelines within Databricks or equivalent such as Jupyter Notebook, PowerBI (nice to have) Understanding of Enterprise Models for Engineering: microservices, APIs, AWS services to support models (SQS, SNS, etc.) Preferred Qualifications: Master's more »
patterns from transaction numbers, create client categories based on patterns, and make predictions of future client behavior. Skills required: Snowflake, SQL, Python, Power BI Jupyter notebooks, hex. Statistician Experience Finance Experience Key information: Rate: Up to £600.00 per day (Outside IR35) Remote/Hybrid London 1 month (rolling) This is more »
Python programming but also operate with modern tech such as Snowflake, Airflow, DBT, Kubernetes/Docker and cubeJS whilst also using Tableau CRM and Jupyter notebooks for gaining data insights. If you think there’s a better or newer tool, you’re free to use that too. The key think 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 »
Senior Data Scientist - London - Permanent Python (Jupyter), SQL, Machine Learning, GIS, GCP, Renewables, Energy ***Please note this role does not offer sponsorship, and you must be based in the UK to apply*** I'm currently working with an exciting start-up focused around decarbonisation. They have received a new round … that we can show in our platform Essentials: 4+ years spread across Data Science, Engineering, and Analysis. Excellent skills using Python/R and Jupyter notebooks, and SQL databases (MySQL/PostgreSQL). Track record building end-to-end machine learning models Experience with geographic data/GIS data Exposure … GCP tools (e.g. Dataflow, BigQuery, Vertex AI) Experience working in a SaaS start up is a massive bonus! Senior Data Scientist - London - Permanent Python (Jupyter), SQL, Machine Learning, GIS, GCP, Renewables, Energy more »
