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Senior Data Scientist

Indotronix Avani UK, Ltd.
Posted 7 hours ago, valid for 10 days
Location

Bristol, City of Bristol BS6 5EX

Salary

£55,000 - £60,000 per annum

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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  • The role is for a Senior Data Scientist with an annual salary ranging from £55,000 to £60,000 GBP.
  • This is a full-time, permanent position based in Bristol, UK, requiring a hybrid work model of 2 days onsite per week.
  • Candidates should possess a degree or equivalent practical experience in a relevant numerate discipline, along with at least several years of experience in data science.
  • The role involves leveraging machine learning techniques, data exploration, and constructing data processing pipelines to deliver insights to clients.
  • Preferred qualifications include proficiency in Python frameworks, experience with Agile methodologies, and familiarity with BI tools like PowerBI or Tableau.
  • Role: Senior Data Scientist
  • Project Duration: Fulltimejob /Permanent job (Annual Salary £55,000-£60,000 GBP Per annum)
  • Work Model: Hybrid role 2 Days Onsite in a Week must at Bristol -UK
  • Location: Bristol-UK

Senior Data Scientists play a pivotal role in comprehending intricate business challenges and formulating them into testable hypotheses for comprehensive analysis. As a senior member of the data science capability team, you will collaborate within a diverse, multi-disciplinary team, engaging in an array of client projects. Leveraging cutting-edge machine learning techniques and an astute analytical mindset, you will deliver profound insights to our clients. Your responsibilities span from intricate data exploration and visualisation to seamlessly integrating algorithms into software and constructing sophisticated data processing pipelines for presentation to our customers. As a seasoned professional, your relentless pursuit of knowledge will drive you to explore and master new tools and techniques.

Leadership requirements:

Experience, communication skills, decision-making, problem-solving, strategic thinking, team building, motivational skills, innovation, delegation, collaboration, emotional intelligence.

Key Qualifications:

  • A degree or equivalent practical experience in a pertinent numerate discipline such as mathematics, physics, economics, engineering, or a related field.
  • Demonstrated knowledge and application of statistical and machine learning techniques to address challenges posed by large, intricate datasets.
  • Exceptional communication and presentation skills, with an advantageous background in stakeholder management.
  • Proficiency in programming and data handling using R, Python, or equivalent languages.
  • Proven track record of developing end-to-end data science solutions, ranging from proof of concept to successful delivery.

Preferred Experience:

  • Proficiency in Python application frameworks like Django or Flask.
  • Expertise in preparing and managing applications with DevOps practices.
  • Familiarity with Agile project delivery methods.
  • Experience in relational databases, including but not limited to SQL and Oracle.
  • Background in the defence, or related, industry.
  • Expertise in utilizing BI tools such as PowerBI or Tableau.
  • Proficiency in version control systems (git) and familiarity with CI/CD development approaches.

Apply now in a few quick clicks

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.