Data Scientist (Hiring Immediately)

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Job Overview

Synergetic is on the lookout for a Full Stack Data Scientist to be a part of their innovation team. This opportunity blends traditional data science expertise with software engineering skills to create end-to-end AI solutions. The position is currently available as a full-time role, catering to individuals eager to apply their knowledge in a fast-paced work environment.

Role Specifics

The hired candidate will engage in a 3-6 month contract which allows for a hybrid work style, specifically 2-3 days per week in London. The role's flexibility combines remote work with in-office responsibilities, making it ideal for professionals seeking balance.

Responsibilities

A variety of responsibilities await the prospective Data Scientist, including but not limited to:

• Design and development of advanced machine learning models and AI capabilities.
• Building and maintaining knowledge graphs as well as developing causal inference systems.
• Crafting probabilistic models that tackle complex business challenges.
• Scaling AI solutions from the proof-of-concept stage to a Minimum Viable Product (MVP) and ultimately to full production.
• Collaborating extensively with backend engineers to ensure data pipelines and infrastructure meet organizational goals.
• Working within designated solution architecture frameworks to facilitate the integration of AI.
• Contributing to the overall solution design and participating in technical decision-making processes.
• Translating business needs into detailed technical specifications.

Required Skills and Experience

Candidates aspiring to join Synergetic must fulfill certain criteria, as follows:

• In-depth experience that spans both data science and software engineering realms.
• Strong proficiency in machine learning, especially with emphasis on causal ML and probabilistic modelling.
• Proven capability to develop and implement knowledge graphs.
• Demonstrated success in scaling AI solutions from concept all the way to production.
• Knowledge in designing and managing backend systems, data pipelines, and ETL processes.
• Familiarity with significant cloud platforms, particularly Microsoft Azure.
• A solid understanding of microservices architecture and distributed systems.
• Experience with DevOps practices specifically related to AI and Machine Learning workflows (MLOps).
• Strong programming skills, particularly in Python and associated data science libraries.
• Capability to work effectively within established solution architecture frameworks.

Preferred Skills

In addition to the essential skills above, candidates possessing any of the following will be looked upon favorably:

• The ability to navigate multiple cloud service providers beyond Azure.
• Familiarity with container orchestration technologies, specifically Kubernetes.
• Experience with graph databases and associated query languages.
• Exposure to deep learning frameworks.
• Background in Natural Language Processing (NLP), computer vision, or reinforcement learning.
• A solid grounding within various industry sectors will be beneficial, especially Financial Services, Healthcare, Lifesciences, Industrials, and Telecommunications.

Salary

While the job listing did not specify a salary range, similar positions within the data science field, particularly in London, typically command competitive salaries, reflecting the high demand for skilled professionals in this sector. It would be prudent for candidates to negotiate based on their individual experience and expertise.

Conclusion

This position at Synergetic offers a remarkable chance for a qualified Data Scientist to work in a conducive environment that supports the integration of cutting-edge technologies in the AI space. With the emphasis being on collaboration, creativity, and technical skill, prospective applicants are encouraged to demonstrate their capabilities clearly throughout the application process. Whether you're deeply rooted in machine learning or have a strong coding background, this role could be the perfect fit for advancing your career. Candidates ready for immediate hiring should make their applications promptly.

This job offer was originally published on jooble.com