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Data Scientist

Connexa
Posted 12 hours ago, valid for 6 days
Location

Luton, Bedfordshire LU2 7JT

Salary

£24,000 - £28,800 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Connexa Technology Ltd is seeking a Data Scientist to contribute to a project of National Importance, requiring a minimum of 3 years of experience.
  • The role involves designing and developing data-driven solutions for public sector digital transformation using Python, SQL, and data visualization tools like PowerBI or Tableau.
  • Candidates should have expertise in NLP, machine learning techniques, and the ability to gain UK Security Clearance (SC), with desirable skills including experience in large-scale data mapping and Linux command line tools.
  • The position offers a competitive salary, company bonus, 28 days of holiday plus bank holidays, and a flexible hybrid working model.
  • Professional development opportunities are available, including mentoring and access to formal learning to support career growth.

Are you a Data Scientist ready to drive digital transformation in a project of National Importance?

We're looking for a talented individual to join a collaborative, cross-functional team, working with cutting-edge data science technologies. This full-time, permanent role offers the opportunity to make a real impact while developing your skills in a flexible hybrid working environment.

Key Skills and Experience:* Proficiency in Python, SQL, and Excel * Experience with data visualisation tools like PowerBI or Tableau* Expertise in NLP, Transformers, Huggingface, and handling large text datasets* Knowledge of containerisation tools such as Docker, Docker-Compose* Strong understanding of machine learning techniques and algorithms* Excellent communication and presentation skills, able to explain technical concepts to non-technical audiences* Ability to gain UK Security Clearance (SC)

Desirable:* SC or DV Cleared * Experience in large-scale data mapping, migration, and profiling* Experience with Linux command line tools * Degree in a numerate discipline with a strong statistical component

Duties:* Design, develop, and support data-driven solutions for public sector digital transformation* Apply advanced data analytics and machine learning to meet client objectives* Collaborate with teams, customers, and external organisations to deliver innovative solutions* Build relationships with customers, gather requirements, and advise on business processes

Why Join Us?* Play a key role in a growing business, working on unique and impactful projects* Competitive salary, company bonus and 28 days holiday plus bank holidays* Hybrid working model with a mix of home and office-based work* Medical insurance, pension scheme, and performance bonus* IT equipment provided

Professional Development: They offer a centrally funded professional development programme, with mentoring and access to formal learning to help accelerate your career.

How to Apply: If you're ready to contribute to transformative public sector projects and further your data science career, we want to hear from you. Apply today!

Established in Didsbury, Connexa Technology Ltd is becoming one of the UK's fastest growing IT and Technology recruitment companies.

People. Technology. Connected.

Connexa Technology is acting as an Employment Agency in relation to this vacancy.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.