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Technical Architect - Data Science

Job details
Posting date: 01 August 2024
Salary: £52,000 to £65,000 per year
Hours: Full time
Closing date: 31 August 2024
Location: Leicester, Leicestershire
Remote working: Fully remote
Company: TESTQ TECHNOLOGIES LTD
Job type: Permanent
Job reference: TQ2324_2133_365

Summary

Reference: TQ2324_2133_365
Vacancy: 2  
Job title: Technical Architect - Data Science
Location: Leicester 

Job Purpose:  
TESTQ Technologies is an IT services and solutions company whose offerings spans over variety of industry sectors with strong technical, domain and process expertise helping clients grow their businesses and decrease operational costs on continuous basis in an ever-changing business environment.  
This opportunity is in the solution design and development arena for Technical Architect - Data Science who have a deep understanding of data science principles, extensive experience in designing and implementing scalable data architectures, and the ability to lead a team of data scientists and engineers. This role involves working closely with stakeholders to translate business requirements into technical solutions, ensuring the effective use of data to drive decision-making and innovation.


Job Description (Main Duties and Responsibilities)  
Develop and maintain data models, databases, and data lakes/warehouses to ensure data is organized, accessible, and secure.
Design and oversee the implementation of robust, scalable, and efficient data architectures that support advanced data science and analytics
Ensure thorough documentation of data architectures, processes, and models. Also, ensure compliance with data protection regulations and industry standards.
Work closely with business stakeholders to understand their needs and translate them into technical requirements.
Collaborate with cross-functional teams, including data engineers, software developers, and business analysts, to ensure seamless integration of data solutions.
Stay updated with the latest advancements in data science and machine learning technologies, incorporating them into the organization’s practices.
Lead efforts in data integration, ensuring data from various sources is accurately and efficiently incorporated into the data ecosystem.
Develop and maintain data models, databases, and data lakes/warehouses to ensure data is organized, accessible, and secure.
Monitor and optimize the performance of data systems and models to ensure high availability and responsiveness.
Provide detailed reports and recommendations on discovered vulnerabilities, prioritizing remediation efforts.

Key Skills, Qualifications and Experience Needed [The candidate must demonstrate these in all stages of assessment]   
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
Minimum of 8 years of experience in data science and data architecture roles.
Extensive experience with data integration, data warehousing, and big data technologies. Also, designing and implementing large-scale data architectures.
Proficiency in programming languages such as Python, R, Java, or Scala.
Expertise in SQL and NoSQL databases
Experience with big data technologies like Apache, Hadoop, Spark, and Kafka.
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and related data services.
Strong understanding of machine learning algorithms and frameworks (TensorFlow, PyTorch, scikit-learn).
Good skills with Extract, Transform, Load (ETL) processes
Strong project management skills and the ability to manage multiple priorities.

Other Key skills:   
Good analytical and Problem-solving skills   
Good communication skills   
A thorough approach and Self starter   
Focus on quality and delivery   
Working together in teams.   
Leadership and effective decision making.   
Flexible Attitude   
Excellent customer service   

Qualifications:  Bachelor's degree or above in the UK or Equivalent.   
Salary:   GBP 52000 to 65000 per annum
Published Date:   1st August 2024
Closing Date:   31st August 2024
Evaluation: CV Review, Technical Test, Personal and Technical Interview and References   
Job Type: Full-time, Permanent [Part time and Fixed Term option is available]