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Work mode: Hybrid, 3 days WFO Contract duration: 6 months Location: London, UK Start date of the project: 1st of September 2026 --------------------------------------- JOB DETAILS Role Title: Data Scientist (2 OPENINGS) …
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London, England, United Kingdom · On-site
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London, England, United Kingdom · On-site
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Design and develop AI/ML based solutions to solve business problems. Collaborate with other data scientists to build, debug, and deploy production-level models and documentation.
Requires 3-5 years of experience with proficiency in Python, SQL, and machine learning deployment tools. Experience with time-series analysis and containerized deployment is essential.
Work mode: Hybrid, 3 days WFO
Contract duration: 6 months
Location: London, UK
Start date of the project: 1st of September 2026
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JOB DETAILS
Role Title: Data Scientist (2 OPENINGS)
Years of experience: 3-5 years
Areas of responsibility:
Detailed Job Description:
Grade & Definition: Consultant - Substantial experience between 3-5 years and an in-depth knowledge of their specialist field.
Purpose of the Role: We are looking for talented and experienced data scientists with experience to join our programme. Solid knowledge and experience of AI and ML is essential.
Background: To work with the existing delivery team to deliver models, documentation and associated productionised services.
Responsibilities:
· Design and develop AI / ML based solutions
· Work with other data scientists to build and deploy production-level solutions
· Troubleshoot and debug code
· Work with other teams to understand and solve business problems
Knowledge & Experience Requirements:
Essential
· Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering
· SQL: For querying structured data sources
· Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models
· Machine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines)
· Version Control (Git): To maintain reproducible and collaborative workflows
· Time-Series Analysis: To assess risk trends over financial years
Exploratory Data Analysis (EDA): To spot early signals or risk clusters
Desirable/Advanced Skills
· Rank Aggregation/Ensemble Techniques: Understanding methods like Robust Rank Fusion (RRF)
· Model Explainability Tools: e.g. SHAP, LIME to support interpretability
· Experience with Model Monitoring & Drift Detection
· Experience in RegTech / FinCrime / Data-led Supervision Projects is a plus
· Experience developing solutions for record linkage and/or network analytics tasks
· Experience with graph query languages (e.g., Gremlin, Cypher), graph database platforms (e.g., Neptune, Neo4j), and/or graph visualisation platforms
Quality First
Natobotics Ltd founded in 2012, provides boutique technology, digital customer experience, consulting and software development services. Over the years we had been supporting our clients in the areas of cloud transformation, Big data & Analytics, Digital Journey, Machine Learning and Platforms.
Offices: New Mossford Way, 1, London, England, GB · Tidel Park, Chennai, Tamilnadu 600042, IN · 4688 Mowry Ave, Fremont, California 94538, US
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