DataScientist

Zohorecruit; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Zohorecruit is seeking a Data Scientist to define, architect and lead delivery of machine learning and AI solutions in London. The role involves supporting the end-to-end data science lifecycle, running proofs of concept, and translating business problems into model solutions for both technical and non-technical stakeholders.

It requires hands-on model development, deployment readiness, and ongoing monitoring, while staying current with advances in data science to keep the organization

Qualifications

• Experience with the full data science lifecycle from problem framing to deployment.
• Ability to translate business problems into analytical/model solutions.
• Strong communication of outcomes to both technical and non-technical stakeholders.
• Ability to provide specialist support for model delivery techniques and use cases.

Responsibilities

• Support exploratory data analysis and the end-to-end data science lifecycle
• Run proofs of concept and prototypes to validate approaches and business value
• Translate business problems into analytical/model solutions and communicate outcomes to stakeholders
• Provide specialist support for model delivery techniques and use cases
• Design, develop, test, implement and monitor models
• Keep up to date with advances in data science and advise leadership

Job description

The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions

London

2 x Data Scientist:

• Support exploratory data analysis and the end-to-end data science lifecycle
• Run proofs of concept and prototypes to validate approaches and business value
• Translate business problems into appropriate analytical / model solutions and communicate outcomes to technical and non-technical stakeholders
• Provide specialist support for model delivery techniques and use cases
• Design, develop, test, implement and monitor models, accounting for internal/external drivers of outcomes
• Keep up to date with advances in data science, analytics and AI, and advise leadership on maintaining competitive capabilities

Deliver

No.
Performance Parameter
Measure

1.
Demand generation
Order booking

2.
Revenue generation through delivery
Timeliness, customer success stories, customer use cases

3.
Capability Building & Team Management
% trained on new skills, Team attrition %