Senior AI Engineer to support the design and delivery of AI-led solutions across Identity and Access Management and Cybersecurity domains.
Responsibilities
Design, develop and operationalize AI solutions for IAM and Cybersecurity use cases across SSO, MFA, Conditional Access, IGA, PAM, AD/Entra ID and NHI domains.
Build hands-on AI/ML capabilities using Python, PowerShell, LLM/SLM APIs, embeddings, RAG, LangChain, LangGraph, MCP, ADKs and AI orchestration engines.
Develop agentic AI workflows, copilots and automation frameworks for access requests, certification campaigns, provisioning, privileged access, remediation and identity operations.
Integrate AI solutions with SailPoint, Saviynt, CyberArk, Microsoft Entra ID, Active Directory, Azure, AWS, Microsoft Graph API, SIEM/SOAR, Splunk, Microsoft Sentinel, Microsoft Defender, CrowdStrike and XDR platforms.
Analyze identity, access, privilege, vault, directory, activity and security logs to identify risk patterns, anomalies, access recommendations, role mining opportunities and policy gaps.
Requirements
Nice to have: HTML
Nice to have: CSS
Nice to have: JavaScript
Nice to have: data pipelines
Nice to have: identity and privilege analytics pipelines
Lead scientific innovation in AI-enabled biologics, antibody discovery, protein engineering, and protein design, translating complex drug‑discovery challenges into AI opportunities and partnering with cross‑functional teams to develop and evaluate AI methods for protein structure prediction and generative molecular design.
Responsibilities
Lead scientific innovation in AI-enabled biologics, antibody discovery, protein engineering, and protein design
Translate complex drug‑discovery challenges into well‑defined AI opportunities with clear hypotheses, evaluation methods, and success criteria
Develop and evaluate rigorous AI methods for protein structure prediction, biological foundation models, and generative molecular design
Assess emerging AI models, datasets, and technologies for scientific maturity, differentiation, limitations, and drug‑discovery value
Lead cross‑functional proof‑of‑concept studies connecting computational performance with experimental validation and meaningful scientific outcomes
Requirements
Doctoral degree in machine learning, computational biology, bioinformatics, structural biology, protein engineering, or a related discipline
Analyse & Konzeption: Evaluierung von KI-Modellen (z. B. Anomaliendedektion, Predictive Maintenance oder Mustererkennung)
Architektur-Integration: Konzeptionelle Ausarbeitung, wie die KI-Komponenten nahtlos in die bestehende Applikationslandschaft von 1SC integriert werden können
Softwareentwicklung: Aktive Mitarbeit bei der Programmierung und Implementierung der KI-gestützten Analysefunktionen (Schnittstellen/APIs, Datenpipelines)
Testing & Validierung: Überprüfung der Analyse-Algorithmen auf Performance, Genauigkeit und Skalierbarkeit anhand von Realdaten
Requirements
Bachelor's degree in Computer Science, Software Engineering, Technical Informatics, Data Science or a comparable field
Data Scientist
Crown Commercial Service / Government Commercial Agency · Posted Nov 9, 2026
As a Data Scientist you will modernise analytics infrastructure and deliver actionable insights across the Government Commercial Function and Government Grants Management Function, empowering leaders and citizens to guide public spending.
Locations (2)
Liverpool, England, United Kingdom
Birmingham, England, United Kingdom
Compensation
Salary: £48,027 - £54,751 (plus allowance up to £6,000 per annum depending on technical assessment)
Responsibilities
Project Leadership: leading data science projects
Analysis & Insights: scoping and leading proactive analysis and technical tasks
Data Services & Pipelines: working with digital team to map, produce, transform and test new data services
Analytics Products: developing new analytics products to provide deeper insights
Technical Expertise & Innovation: providing technical expertise on data science techniques
We are looking for a data-driven problem solver who can turn complex customer and product data into clear business opportunities. You’ll be comfortable digging deep into user behavior, spotting patterns across the customer lifecycle, and translating them into actionable insights for product and marketing teams.
Locations (4)
Vilnius, Vilnius, Lithuania
Kaunas, Kaunas, Lithuania
Warsaw, Masovian, Poland
Poland
Responsibilities
Define, track, and optimize key metrics and KPIs for product and marketing teams.
Analyze users and products to find new business opportunities and areas for improvement.
Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance.
We’re looking for a data-driven problem solver who can turn complex customer and product data into clear business opportunities.
Locations (3)
Vilnius, Vilnius, Lithuania
Kaunas, Kaunas, Lithuania
Poland
Responsibilities
Define, track, and optimize key metrics and KPIs for product and marketing teams.
Analyze users and products to find new business opportunities and areas for improvement.
Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance.
Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities.
Build, support, and replicate data structures (including database structures, table building, reporting, data visualization, regression analysis, time series, etc.).
Lead development and implementation of advanced statistical methodologies, drive client consultations, and contribute to new business development in a performance media agency.
Compensation
The projected compensation range for this position is $90,000 to $130,000.
Responsibilities
Develop and champion novel statistical methodologies and analytical frameworks tailored to client needs
Lead client consultations as the primary data science expert, translating complex statistical concepts into strategic business recommendations
Drive new business development by contributing to pitches, proposals, and thought leadership initiatives
Establish best practices for statistical rigor, model validation, and analytical quality across the organization
Proactively identify opportunities to apply advanced analytics to solve emerging business challenges
Requirements
Bachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field
Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities.
Build, support, and replicate data structures (including database structures, table building, reporting, data visualization, regression analysis, time series, etc.).
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Data ScientistCrown Commercial Service / Government Commercial Agency · Liverpool, United Kingdom+1 more
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