Technical Architect - Data Science

Job Type: Permanent

Work Mode: Remote

Job title: Technical Architect - Data Science

Job Purpose:

TESTQ Technologies is an IT services and Solutions Company whose offerings span over a variety of industry sectors with strong technical, domain, and processexpertisehelping clients grow their businesses and decrease operational costs on a continuous basis in an ever-changing business environment.

The Technical Architect – Data Science is responsible for designing, developing, and implementing end-to-end data and AI solutions. This role bridges data engineering, data science, and architecture by defining scalable frameworks, guiding model deployment, and ensuring optimal use of cloud and big data technologies.

Job Description (Main Duties and Responsibilities):

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• Design and architect for end-to-end data science and AI solutions aligned with enterprise strategy.
  
• Define scalable data architectures for ingestion, processing, storage, and analytics.
  
• Lead the design of machine learning pipelines, model deployment frameworks, and MLOps solutions.
  
• Collaborate with data scientists, engineers, and analysts to operationalize ML models in production.
  
• Evaluate and recommend tools, frameworks, and best practices for data science and AI initiatives.
  
• Ensure compliance with data governance, security, and privacy standards.
  
• Provide technical leadership and mentorship to the data science and engineering teams.
  
• Optimize cloud and on-premises data architectures for performance, cost, and scalability.
  
• Drive innovation through proof-of-concepts (POCs) and pilot implementations of emerging AI/ML technologies.
  

Key Skills, Qualifications and Experience Needed [The candidate must demonstrate these in all stages of assessment]

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• A bachelor's degree in computer science, Information Technology, or related discipline.
  
• 3 to 4 years of professional experience in Technical Architect – Data Science roles.
  
• Should have strong proficiency in programming and scripting languages such as Python, R, SQL, Java, Scala, and Shell scripting.
  
• They should be adept at using data science and machine learning libraries including NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, and LightGBM for building and deploying advanced analytical models.
  
• A solid understanding of data engineering and big data ecosystems is essential, with hands-on experience using Apache Airflow, Luigi, and dbt for data workflow orchestration, and familiarity with Hadoop, Spark, Hive, Kafka, and Flink for distributed data processing.
  
• Expertise in working with both relational and NoSQL databases such as PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, and Redis is required, along with experience in managing data lakes and data warehouses like Snowflake, Databricks, Amazon Redshift, Google BigQuery, and Azure Synapse.
  
• The architect should have deep experience with cloud platforms—including AWS (S3, Glue, SageMaker, EMR, Lambda), Microsoft Azure (Data Lake, Synapse, ML Studio, Databricks), and Google Cloud Platform (BigQuery, Vertex AI, Dataflow, AI Platform)—and the ability to design scalable, cloud-native data solutions.
  
• Proficiency in MLOps and DevOps tools such as MLflow, Kubeflow, DVC, and TensorFlow Extended (TFX) is required to enable model lifecycle management.
  
• Knowledge of CI/CD pipelines using tools like Jenkins, GitHub Actions, Azure DevOps, or CircleCI, and experience with containerization and orchestration through Docker, Kubernetes, and Helm, is highly desirable. Familiarity with model monitoring and governance tools such as Evidently AI, WhyLabs, and Neptune.ai will be advantageous.
  
• The role also requires expertise in data visualization and business intelligence tools including Power BI, Tableau, Looker, Superset, Plotly, and Dash for translating analytical insights into actionable business intelligence.
  
• Additionally, strong understanding of API design and integration (REST, GraphQL), version control systems (Git, GitLab), and data security and compliance frameworks such as GDPR and HIPAA is important.
  

Qualifications: Bachelor's degree or above in the UK or Equivalent.

Salary: GBP 55,000 to GBP 65,000 per annum

Published Date: 03 November 2025

Closing Date: 02 December 2025

Evaluation: CV Review, Technical Test, Personal and Technical Interview and References

Job Type: Full-time, Permanent [Part time and Fixed Term option is available]