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Data scientist/ ml engineer

London
JR United Kingdom
Data scientist
Posted: 18 June
Offer description

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Data Scientist/ ML Engineer, London (City of London)

Client:

Location:

London (City of London), United Kingdom


Job Category:

Other


EU work permit required:

Yes


Job Views:

3


Posted:

16.06.2025


Expiry Date:

31.07.2025


Job Description:

Synechron is looking for a Senior Data Scientist / ML Engineer to join their Data and AI Practice to work on a multi-year AI programme within a leading financial institution.

The primary responsibility is to extract actionable insights from complex data using advanced statistical analysis, machine learning, and data modeling to support strategic decision-making.


Responsibilities:

* Develop and implement machine learning models and algorithms
* Extract meaningful insights from large, complex datasets
* Deploy and maintain models using MLOps best practices
* Collaborate with cross-functional teams to understand data needs
* Utilise data visualisation tools to communicate findings effectively
* Work with SQL and cloud platforms (Azure) for data management and deployment
* Apply expertise in computer vision, large language models (LLMs), and statistical analysis


Requirements:

* Strong proficiency in Python and machine learning libraries
* Understanding of machine learning algorithms and model training/deployment
* Experience with computer vision and LLM applications
* Skills in statistical analysis and data visualisation techniques
* Hands-on experience with SQL and Azure cloud platform
* Knowledge of MLOps practices for scalable and reliable model deployment
* Excellent analytical and communication skills

Project details: Multi-year project, flexible start date, competitive rates, London-based (3 days in office), FTE or Contract.

Synechron's Diversity Statement: We are committed to fostering an inclusive culture promoting equality, diversity, and respect for all. We encourage applicants from diverse backgrounds and offer flexible working arrangements, mentoring, internal mobility, and learning programs. Employment decisions are based on business needs and individual qualifications.

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