• You support and deliver end-to-end machine learning projects for our clients, with a focus on time-series and forecasting use cases such as demand forecasting, pricing, anomaly detection, and predictive maintenance
• You design, implement, validate, and deploy machine learning models based on tabular and time-series data, ranging from classical statistical approaches to modern machine learning and deep learning methods
• You apply statistical and causal reasoning to solve complex business problems, using approaches such as controlled experimentation, uncertainty quantification, and decision optimization across a wide range of industries
• You contribute to building robust, scalable, and maintainable ML pipelines and support deploying models into production on modern cloud infrastructures such as Azure, AWS, or GCP
• You collaborate closely with stakeholders and customer representatives to ensure alignment and successful project delivery
• You work with experienced consultants, data scientists, and engineers across different industries and use cases while continuously developing your technical and consulting skills
• Depending on your experience, you gradually take ownership of workstreams, contribute to proposal development, and support the further development of internal best practices in forecasting and applied machine learning

• You will design generative AI & NLP systems, that optimally cover customer problems and use cases in terms of performance, latency, costs, extensibility and complexity, within the scope of customer projects
• You will have close contact with various stakeholders and representatives of our customers on a regular basis
• You will act as a project developer, subject matter expert or technical lead and deal with various use cases, e.g., knowledge management with retrieval augmented chatbots implementing agent systems, or fine-tuning language models to enhance the efficiency of an NLP pipeline or process domain-specific language 
• You will implement robust, extensible, and performant ML pipelines according to current ML Ops or LLM-Ops best practices, working on different infrastructures (Azure, AWS, GCP)
• You will support the development of products and of our offering portfolio and contribute to the creation of marketing content
• You will have dedicated time to follow the latest developments in the field of NLP and AI (e.g., on repositories, methods, tools, papers) and stay up to date in order to offer the best solutions to our customers

Our Strategy, Sales & Marketing unit shapes the strategic direction of statworx and ensures consistent internal and external communication of our offerings, values, and overall strategy. At the same time, it serves as the driving force behind the acquisition of new clients and projects.

Close collaboration between the three teams is a top priority for us, ensuring strong alignment between strategy, communication, and sales.

As part of our Sales team, you contribute your experience to elevate our sales processes and activities to the next level. At the same time, you leverage your sales expertise across online and offline channels to acquire new clients from both the mid-sized enterprise and corporate segments.

statworx is a leading consulting and development company for data and AI, based in Frankfurt am Main. We offer strategic consulting for medium-sized businesses and global corporations. We develop innovative data and AI solutions across all business areas and corporate functions. We empower people at all levels of expertise with our data and AI education formats. In short: We support companies in all aspects of digital transformation – for over 10 years, in more than 1000 data and AI projects, and for over 100 clients from almost all industries.

Our AI Development department serves as a facilitator for Data & AI transformation. We are taking a holistic approach, from the initial evaluation of AI maturity, through the design and development of data and AI solutions, to the practical implementation and scaling of AI solutions. Through our deep expertise in Data Engineering, Data Science, Machine Learning, we ensure that our clients gain the maximum value from their data.

• Develop modern and scalable data architectures (data warehouses, data lakes, lakehouses) and design high-performing data models for analytics, ML, and AI use cases
• Advise clients on technologies, platforms, and best practices, translating technical concepts into clear, understandable recommendations for both business and management stakeholders
• Integrate structured and unstructured data sources, implement robust ETL/ELT processes, and ensure high data quality throughout the pipeline
• Build cloud and on-premises data infrastructures (Azure, AWS, GCP) using Infrastructure-as-Code, automated deployment processes, and monitoring systems
• Consider data governance, privacy, and security requirements along the entire data value chain
• Depending on the project, support modern AI applications (e.g., vector databases, embeddings, RAG) by designing the appropriate data pipelines and infrastructure
• Mentor and support junior colleagues, fostering a collaborative culture of knowledge sharing and teamwork
• Actively share your expertise — for example through workshops, technical blog posts, or presentations at internal events

• Combine classical data engineering with modern NLP approaches – particularly in the context of Large Language Models (LLMs), embeddings, knowledge graphs, Retrieval-Augmented Generation (RAG), and text-to-SQL applications
• Design, develop, and operate modern data architectures that form the foundation for advanced NLP applications – from knowledge management systems and semantic search solutions to RAG use cases
• Work closely with our clients to understand their business requirements and data processes, and translate them into tailored, scalable data and AI solutions
• Implement scalable data pipelines and infrastructures to efficiently provide, transform, and version large volumes of structured and unstructured data
• Ensure data quality, security, and governance along the entire value chain, and establish best practices for handling sensitive data in AI projects
• Build and operate scalable data infrastructures in cloud environments, and automate deployments and monitoring systems to ensure reliability and availability
• Provide strategic advice to clients and internal teams on data architecture, technologies, tools, and best practices, acting as a trusted advisor
• Support and mentor junior colleagues, share your knowledge within the team, and contribute to the development of statworx’s data engineering community through workshops, blog posts, or internal talks

• You act as a subject matter expert and force multiplier for NLP, LLM, and agent-based systems, supporting multiple projects in parallel, advising team members, and contributing to acquisition and technical positioning
• You take end-to-end ownership of one or more focus topics in the NLP and Generative AI domain and serve as the primary technical point of contact
• You regularly collaborate with internal stakeholders and customer representatives to ensure close alignment and effective cooperation 
• You present technical solution concepts, own technical communication with customers, and actively support proposal and acquisition processes 
• You scope, design, and oversee large-scale client projects and support high-impact initiatives with significant business relevance 
• You work as a technical lead on high-value customer projects and design Generative AI and NLP systems that address customer challenges in terms of performance, latency, cost, scalability, and overall system complexity 
• You provide professional leadership to less experienced team members, actively support their work, and offer constructive feedback and mentorship 
• You contribute to the development of internal products, help expand our service portfolio, and support the creation of technical marketing and thought leadership content 
• You continuously follow developments in NLP and AI, including new methods, tools, frameworks, and research, and apply this knowledge to projects, proposals, and customer solutions

• As part of our AI Operations team, you maintain and support productive AI solutions and applications for our clients across cloud environments, with a strong focus on Azure
• You ensure the stable and reliable operation of AI and ML systems in production and take responsibility for availability, performance, and service quality
• You manage updates, patches, and smaller enhancements for existing solutions and implement fixes in Python where required
• You monitor productive systems, improve observability and alerting, and proactively identify potential issues before they affect operations
• You analyze, troubleshoot, and resolve production incidents, bugs, and application issues in close collaboration with project teams and stakeholders
• You support the remediation of vulnerabilities, security findings, and CVEs and contribute to maintaining secure and compliant production systems
• You work with APIs, cloud services, and container-based deployments to diagnose issues and maintain reliable integrations between system components
• You contribute to the continuous improvement of operational processes, deployment workflows, and maintenance standards within AI Operations
• You collaborate closely with consultants, developers, and engineers and actively contribute to internal knowledge sharing and best practices
• You help ensure reliable support during regular business hours and contribute to operational excellence through a structured and service-oriented approach

Close collaboration between the three teams is a top priority for us to ensure strong alignment between strategy, communication, and sales.

As part of our Sales team, you will help establish the partner management function to leverage our network of leading technology partners for acquiring new clients and projects.

Our Strategy, Sales & Marketing unit shapes the strategic direction of statworx and ensures consistent internal and external communication of our offerings, values, and overall strategy. At the same time, it serves as the driving force behind the acquisition of new clients and projects.

Close collaboration between the three teams is a top priority for us, ensuring strong alignment between strategy, communication, and sales.

As part of our Sales team, you contribute your experience to elevate our sales processes and activities to the next level. At the same time, you leverage your sales expertise across online and offline channels to acquire new clients from both the mid-sized enterprise and corporate segments.

• As part of customer projects, you design Generative AI and NLP systems that effectively address customer challenges and use cases in terms of performance, latency, cost, scalability, and complexity
• You regularly engage with various stakeholders and customer representatives, ensuring close collaboration and alignment
• You act as a developer, expert, or technical lead and work on diverse use cases, such as knowledge management with retrieval-augmented chatbots, implementing agent systems, or fine-tuning language models to enhance the efficiency of an NLP pipeline or process domain-specific language
• You will guide as a Technical Lead less experienced team members, support their work, and provide constructive feedback and mentorship
• You will contribute as an expert to multiple projects as needed to solve complex problems
• You plan and implement robust, scalable, and high-performance ML pipelines following the latest ML Ops and LLM-Ops best practices, working across various infrastructures, including Azure, AWS, and GCP
• You support the development of products, contribute to expanding our service portfolio, and assist in creating marketing content
• You present solution proposals and handle technical communication with customer representatives during the acquisition process
• You will have dedicated time to follow the latest developments in the field of NLP and AI (e.g., on repositories, methods, tools, papers) and stay up to date in order to offer the best solutions to our customers

• Drive the business direction of our data engineering initiatives and help shape their future development
• Identify and pursue new business opportunities and partnerships, leveraging your industry expertise and professional network
• Represent STATWORX as a thought leader in the data and AI landscape
• Build and maintain strong client relationships and develop tailored concepts to address their business challenges
• Serve as a trusted advisor to clients, providing technical guidance to help them solve business problems with data-driven solutions
• Lead client engagements as a project manager or senior expert in the fields of data, analytics, and AI
• Actively contribute to acquiring new opportunities, leads, and projects in the data and AI domain
• Assess the role of Generative AI in transforming the data landscape, identify opportunities for its integration, and contribute to projects that leverage its potential to create business value
• Mentor and support junior team members, fostering a collaborative and knowledge-sharing culture within the organization

• You operate at the interface of business and technology and develop comprehensive data strategies, operating models, governance structures, and roadmaps that enable companies to operate in a data-driven manner
• You analyze the status quo, define a data vision as well as strategic goals, and derive concrete initiatives such as data products, use cases, or data capabilities
• You design data operating models including roles (e.g., Data Owners, Stewards), processes, and tools and support their implementation
• You design and refine data governance frameworks and support clients in building scalable standards and structures
• You lead conceptual discussions on data architecture and act as a link between the client side and the technical specialists in our development department
• You prepare workshops and management presentations and moderate them confidently
• You evaluate current developments in the field of AI with regard to their impact on data strategies and integrate these into your recommendations

• Lead data strategy projects or major workstreams end-to-end (scope, approach, deliverables, quality, steering)
• Act as a trusted advisor on data strategy and operating model topics for senior client stakeholders.
• Shape data strategy approaches and frameworks within our company and ensure their consistent application across projects
• Take a visible role in business development (e.g., identifying opportunities, contributing to proposals, co-developing offerings in data strategy)
• Mentor and coach more junior colleagues and foster a culture of knowledge sharing on data strategy and governance

• 4+ years of relevant experience with a clear focus on data strategy, data governance, or data management
• Proven track record leading projects or substantial workstreams
• Experience acting as a sparring partner for senior stakeholders on data-related strategic decisions
• Experience in business development (e.g., proposal work, shaping new offerings, thought leadership) is a plus
• High level of autonomy and confidence in representing our perspective on data
• The role and both levels require verified German language skills at a minimum of C1 level. 

• You develop and deploy machine learning solutions for forecasting, anomaly detection, and predictive maintenance
• You design robust end-to-end solutions from data preparation and feature engineering to model evaluation and production deployment
• You select and implement the most suitable methods for each use case, ranging from strong statistical baselines to modern machine learning and deep learning approaches
• You regularly collaborate with internal stakeholders and customer representatives to ensure close alignment and effective cooperation
• You contribute to reliable ML engineering and MLOps setups across cloud, on-prem, and production environments and support the integration of models into industrial or production-related systems with constraints such as latency, security, and limited compute resources
• You present solution concepts and handle technical communication with customer representatives during proposal and acquisition phases
• You continuously follow developments in the field of time series and forecasting, including new methods, tools, and research, and apply this knowledge to deliver state-of-the-art solutions

• You will design generative AI and NLP solutions as part of our project teams and regularly interact closely with our clients and various stakeholders
• You will act as a developer, working on various NLP use cases such as knowledge management with retrieval-augmented chatbots or fine-tuning language models
• You will implement robust, scalable, and high-performance ML pipelines on different infrastructures (e.g., Azure), following current best practices
• You will support the development of products and the further development of our product portfolio and contribute to the creation of marketing content
• You stay up to date with the latest developments in NLP and AI (e.g., repositories, methods, tools, papers)
• You will support our (senior) consultants in their daily work, for example by preparing client meetings and presentations

• You work as part of project teams to design, build, and further develop software applications for clients
• You support the identification and definition of requirements and help translate them into effective, client-oriented solutions
• You develop and implement software solutions with a focus on APIs and GenAI-based applications across different industries and use cases
• You support bringing developed solutions into production and contribute to stable and reliable system operations with a focus on business value
• You assist in troubleshooting and resolving common application and system issues
• You actively contribute to internal knowledge-sharing formats and team learning initiatives
• You support senior consultants in their daily work, for example by helping prepare client presentations and project materials