Software Mind

Data Scientist

• Design, build, validate, and maintain predictive and prescriptive models across travel, risk, and location domains
• Apply statistical methods, machine learning, and experimentation to improve data accuracy, completeness, and trust
• Develop domain-specific metrics, benchmarks, and risk scoring frameworks
• Translate customer problems and market needs into analytical solutions and data products
• Partner with Product Managers to define value propositions, pricing inputs, and success metrics
• Define data quality rules, validation logic, and anomaly detection mechanisms
• Ensure alignment with privacy, consent, and ethical AI standards in regulated environments
• Support lineage, explainability, and auditability of analytical outputs
• Work closely with Data Engineers to ensure model-ready, reliable data pipelines
• Collaborate with Machine Learning Engineers to operationalise models at scale
• Communicate insights and recommendations clearly to technical and non-technical stakeholders

Data Engineer

• Define and govern the end-to-end data architecture that enables a scalable, secure, and business-aligned data platform
• Establish architectural standards, design patterns, and best practices for all data domains
• Lead technology evaluation and selection for the cloud-native data platform stack
• Drive the long-term platform roadmap, including AI/ML readiness and data monetisation capabilities
• Design metadata management, data lineage, and access control frameworks in line with governance requirements
• Embed privacy-by-design, security, and compliance (including GDPR) at the architectural level
• Act as technical authority and design partner for Data Engineers, Data Scientists, and ML Engineers
• Represent data architecture in cross-functional forums, aligning platform decisions with business strategy

Data Architect

Backend Engineer

• Contribute to the successful implementation of Assette by collaborating closely with the existing project and neighbourhood teams.
• Develop and maintain robust backend solutions using Python, ensuring high performance and scalability.
• Work with Oracle databases and Denodo to manage, integrate, and optimize data workflows.
• Actively participate in code reviews and contribute to continuous improvement of development standards and practices.

Python Software Developer

Salesforce Developer

• Support the transition from a bespoke in-house CRM to Salesforce by contributing to the design, development, and implementation phases of the project.
• Develop and maintain front-end components using Angular, ensuring a responsive and user-friendly interface aligned with business needs.
• Build and integrate backend services using .NET (C#), enabling seamless communication between Salesforce and internal systems.
• Work with Oracle PL/SQL to manage, migrate, and optimize data as part of the CRM transformation.
• Utilize Docker for containerization to ensure consistent development, testing, and deployment environments.
• Deploy and manage applications within Azure Kubernetes Service (AKS), ensuring scalability and reliability of the platform.

Product Manager

• Define and own the data platform product vision, long-term roadmap, and prioritised backlog aligned to the Data Products Strategy
• Position the platform as a reusable, scalable internal product that directly enables customer-facing and revenue-generating use cases
• Translate strategic objectives into clear product increments, epics, and success metrics, balancing speed, quality, cost, and scalability
• Partner with Data Engineering, ML, and Architecture teams to plan and sequence delivery in an agile environment
• Define platform requirements to support machine learning, MLOps, feature stores, model deployment, and monitoring
• Ensure availability of high-quality, well-governed, feature-ready datasets for Data Science and ML teams
• Embed data quality, lineage, observability, privacy, and regulatory requirements into platform design and governance standards
• Act as the primary interface between technology teams and non-technical stakeholders, communicating platform capabilities in clear, outcome-focused language

Data Product Manager

• You will be responsible for building a private cloud solution for the government in one of the countries in Western Europe.
• In addition to building, the focus is also on migration and maintenance of the created solution.
• Design, programming, testing, and implementation of new back-end applications
• Testing and improving existing infrastructure-oriented back-end applications
• Meetings with architects, functional designers, and other specialists regarding the design of a system or application

Senior Python Developer

Business Analyst

• Gather and refine business and system requirements together with stakeholders
• Translate real-world network concepts into system logic, data structures, and features
• Prepare clear documentation (requirements, diagrams, API specs) that developers can actually use
• Create mockups or simple prototypes to help visualize and validate ideas early
• Work closely with developers on implementation details and integrations (WS/REST)
• Support testing and help verify whether the system behaves as expected
• Analyze incoming issues from the client and decide whether it’s a bug or an improvement
• Help keep backlog and tasks organized, especially when extra coordination is needed

System Analyst / Business Analyst

AI Engineer

• Build and ship full-stack AI applications: Create frontend experiences and backend systems that power real AI capabilities, iterating based on performance and user feedback
• Own the full lifecycle: Take projects from idea through production deployment, ensuring quality, reliability, and scalability
• Build foundational infrastructure: Develop search/retrieval services, tool execution layers (MCP servers), workflows, and intelligent agents
• Establish measurement systems: Create feedback loops and performance tracking to continuously improve AI system behavior
• Solve complex problems: Debug issues across the stack, identify root causes, and implement robust solutions

Senior Fullstack AI Engineer

Frontend Engineer

• Design, develop, and maintain scalable web applications using React/Angular with TypeScript
• Build robust and high-performance APIs using NestJS / NodeJS or FastAPI / Python
• Embrace an iterative development approach, starting from proofs of concept and evolving solutions into production-ready, scalable applications within enterprise constraints
• Own the design and implementation of features or services end-to-end, from development through deployment, while collaborating with Tech Leads, Senior engineers and Architects.
• Deploy, operate, and monitor applications on cloud infrastructure (e.g., AWS), following enterprise standards for security and reliability.
• Work with both SQL and NoSQL data stores.
• Collaborate closely with cross-functional teams in an Agile environment, participating in daily stand-ups, sprint planning, and retrospectives.
• Write clean, maintainable, and well-documented code following established engineering best practices.
• Learn from failures, adapt quickly, and clearly communicate lessons learned.
• Maintain a lifelong learning mindset, continuously improving your technical and professional skills.
• Work effectively as part of a distributed (remote/virtual) team.

Full-Stack Engineer, React, Node, Typescript

Security Engineer

• Own the continuous vulnerability remediation process across cloud environments
• Take outputs from security tools (CSPM, Wiz, Palo Alto Prisma) and implement fixes in production
• Perform image-level, server-level, and patch-level updates
• Work closely with development teams on testing, deployment, and releases
• Handle compliance mapping and validation (SOC 2)
• Conduct access control audits and ensure compliance adherence
• Make independent technical decisions with minimal oversight
• Collaborate directly with the security team (Linda, Fausto, Gerald)
• Contribute beyond security scope over time, evolving into broader team responsibilities
• Enforcing HTTPS on S3 buckets via CloudFront decisions
• Updating vulnerable dependencies (e.g., Python libraries)
• Creating and pushing updated container images to production

Senior Cloud Security Engineer

• From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar.
• You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions.
• Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy.
• You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart.
• Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration.
• Create self-serve dashboards and data tools that empower your teams to answer their own questions.
• Define and standardise metrics so everyone's working from the same source of truth.
• Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise.
• Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team.

Product Data Scientist – 6-month project

• Define a product vision supporting pharmaceutical IT solutions
• Prioritize the backlog based on value and compliance
• Connect IT teams with pharmaceutical stakeholders
• Ensure delivery of reliable and compliant software
• Improve products using feedback and data

Product Owner

Research Scientist

• Actively contribute to the team roadmap, and work closely with product managers and engineers to identify areas of opportunity and resource requirements to deliver impactful projects.
• Conceptualize, prototype, and productionize state-of-the-art demand forecast solutions.
• Communicate technical problems and results effectively with other team members and also with (less technical) stakeholders.
• Educate them about your products and solutions.
• Be the owner of the whole development cycle of algorithms - from opportunity discovery to production.
• Iteratively improve models and explore the art of possibility (e.g. new data sources, new ways of structuring the problem).
• Build model pipelines and streamline analysis processes, using common programming tools (e.g. Python, R, Scala, SQL, PyTorch, Tensorflow etc.)

Senior Applied Scientist

Android Engineer

• Take ownership of our native iOS and Android applications

Mobile App Developer – iOS, Android

• Take ownership of code quality through regular refactoring, ensuring scalability, maintainability, and alignment with industry best practices.
• Collaborate with the Tech Lead and Product Team to implement new functionalities in application.
• Create and maintain existing application development documentation.
• Perform integration, regression and acceptance testing.
• Provide production support in resolving errors and technical issues.