Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Test Yantra

Data Science Engineer

Test Yantra

. Develop data science engineering solutions .

Posted 10/28/2026contractBurgess Hill • United KingdomSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing data science engineering solutions, including data transformation, time-series analysis, and building interactive dashboards using Streamlit. Proficient in integrating APIs and SQL data from various sources while leveraging cloud technologies and container orchestration for scalable applications.

Highest-signal resume keywords
Python 3.11+Streamlit Dashboard DevelopmentAPI/SQL Data IntegrationAWS ExperienceDocker and Kubernetes

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data TransformationTime-Series AnalysisData VisualizationPandasNumPyPlotlyMatplotlibSeabornTesting with PytestCI/CD
Tools & Technologies
AWSDockerKubernetesSnowflakeOpenSearchRESTBoto3S3ParquetJWT
Industry Keywords
Data Science EngineeringAPI IntegrationData VisualizationCloud ComputingContainerization

Tech Stack

Tools & technologies
AWSDockerKubernetesNumpyPandasPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Develop data science engineering solutions
  • Perform data transformation and time-series work
  • Build multi-page Streamlit dashboards with session state and query-parameter navigation
  • Integrate API and SQL data from Snowflake, OpenSearch, and REST sources
  • Create data visualizations using Plotly, Matplotlib, and Seaborn
  • Work with AWS, Docker, Kubernetes, CI/CD, secrets, authentication, and testing

Requirements

What you’ll need
  • 8 years of IT service experience
  • Strong Python 3.11+
  • Experience with pandas and NumPy for data transformation and time-series work
  • Streamlit dashboard development, including multi-page apps, session state, and query-parameter navigation
  • API/SQL data integration with Snowflake, OpenSearch, and REST sources
  • Visualization experience with Plotly, Matplotlib, and Seaborn
  • AWS experience with boto3 and S3/Parquet
  • Docker and Kubernetes
  • CI/CD
  • Secrets and authentication, including JWT, cryptography, and proxy handling
  • Testing with pytest