Data Scientist / Senior Data Scientist / Solution Engineer
About the Role
We are looking for a highly skilled Data Scientist, Senior Data Scientist, or Solution Engineer for a 12-month contract based in Waterloo, London. This role sits at the intersection of advanced machine learning and robust software engineering, focusing on deploying industrial-grade applications (such as fraud detection and predictive maintenance) across key sectors for an Enterprise AI client.
Key Responsibilities
- Design, build, and deploy scalable machine learning algorithms and software solutions.
- Analyse, cleanse, and normalise complex time-series data and dynamical systems.
- Collaborate within an Agile environment to deliver robust data structures and algorithms.
What We Are Looking For
To be successful in this role, you will need a blend of the following engineering and data science capabilities:
- Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce, streaming).
- Data Expertise: Experience with time-series data, dynamical systems, and both SQL and NoSQL databases.
- Cloud & DevOps: Proven experience deploying software to AWS, GCP, or Azure, utilizing Git for version control.
- Industry Experience: Domain expertise in sectors such as Financial Services, Aerospace, Industrial Manufacturing, Healthcare, or Supply Chain is highly desirable.
- Evidence of Capability: A strong portfolio of past projects (GitHub, published papers, etc.).
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Data Scientist - Waterloo - £700pd employer: Simon James IT Ltd
As a leading player in the insurance sector, our company offers an exceptional work environment that fosters innovation and collaboration. With a strong focus on employee growth, we provide extensive training and mentorship opportunities, particularly for roles like the QE Architect, ensuring you can thrive in your career while contributing to transformative projects. Located in York, our hybrid working model promotes a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding employment.
