We are looking for a Data Analyst with expertise in spectroscopy (NIR required), chemometrics, and multivariate data analysis to support the monitoring, validation, and maintenance of authentication models, working closely with Data Scientists in a regulated environment.
Requirements
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Strong background in spectroscopy and chemometrics (NIR mandatory; Raman / FTIR as a plus)
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Proven experience in multivariate analysis and chemometric modelling (PCA, PLS‑DA, classification models)
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Ability to monitor, interpret, and maintain model performance across spectral libraries
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Hands‑on experience with ideally Python‑based data analysis (e.g. Jupyter notebooks, NumPy, SciPy, scikit‑learn)
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Experience working with validated / regulated environments and producing inspection‑ready documentation
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Candidates must declare criminal record extract not older than three months
Key Responsibilities (scope‑focused):
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Interpret and monitor performance of authentication models within the spectral library
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Support creation and review of model snapshots, including associated metadata checks
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Collaborate closely with Data Scientists and technical teams on model refinement and updates
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Contribute to model validation, release, and maintenance in support of Authentifield operations
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Document methods, decisions, and changes in line with governance and compliance expectations
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Data Science team coordination
Benefits
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Broad range of activities, tasks, and projects
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Flexible working conditions
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Minimum 5 weeks of vacation
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Paid sick days
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Meal vouchers
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Vouchers (B-day voucher, wedding, and new born surprise)
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Contributions to wellness programs (multisport card)
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Fishing for Friends program – our referral program