5 data management jobs found in Remscheid

DÜSSELDORF, COLOGNE Tasks As a working student, you will support our consulting team in ongoing client projects and internal initiatives. You will gradually grow into independent tasks – depending on your experience, interests, and development level. Typical topics include: Support with   gap analyses   ,   risk analyses   and   maturity level assessments Participation in the   establishment, further development and maintenance of ISMS structures. Research and analysis   of regulatory and normative requirements and derivation of initial proposals for action Creation and maintenance   of concepts, guidelines, reports and decision templates (e.g. in PowerPoint/Word) Support with internal and external audits   and assessments (preparation, follow-up, documentation) Contribution to   security governance, role and organizational models Benefits CERTIFICATIONS FLEXIBLE WORKING HOURS COMPANY EVENTS...

Multiple locations Hybrid Job Description Between AI potential and real transformation, there is usually just one person. Maybe it's you. Everyone talks about Artificial Intelligence. Very few organizations actually turn it into measurable business impact. At Etteplan, AI is not an experiment. It is part of our strategy. Our AI facilitator pilot showed something more useful than a business case: real demand from our teams, and the first working use cases in daily work. What we don't have yet is scale. Now we are looking for the person who will take that success to the next level. As   AI Adoption & Automation Lead   , you will drive AI adoption across our organization, identify automation opportunities that create real value, and help shape the framework for sustainable and responsible AI usage. Your scope is Business Unit Smart Factory Germany: around 200 engineers and specialists across five regions, serving customers in chemicals,...

We Want You to Grow With Us Data tells stories, and this role is responsible for turning those stories into decisions. As our Data Scientist & ML Engineer, you will develop the predictive, prescriptive, and optimization models that give Intersnack the analytical foresight to actly across procurement, manufacturing, and confident sales. You will report into the AI ​​Programs and work alongside AI engineers and data engineers to integrate your models into the knowledge and agentic AI frameworks being built across the organization, combining classical machine learning rigor with the emerging capabilities of large language models and intelligent agents. Intersnack is committed to growing its people as it grows its capabilities, and this role offers a unique vantage point from which to shape how AI reasoning is embedded into a global business. What We Can Offer You will have the opportunity to work across a wide and commercially meaningful range of modeling challenges,...

What makes this job so special? Responsibility for the disciplinary management of the BI team (2 employees), including target agreements and regular feedback. Building and promoting a data-oriented corporate culture and establishing BI best practices within the team; continuous development of the professional and methodological skills of the employees. Close collaboration with management and specialist departments to align and prioritize the BI roadmap. Strategic conception, further development and optimization of the BI reporting landscape. Analysis of data to derive well-founded recommendations for management and specialist departments. Definition and ongoing maintenance of key performance indicators (KPIs) as well as active support in the development and enhancement of data governance structures. When would you be a good fit for us? Several years of professional experience in the field of Business Intelligence/Data Analytics, ideally combined with...

Dortmund from now on Job ID: 8188 | Contract type: permanent Data Scientist YOUR TASKS: Development, training and evaluation of machine learning models, e.g. for regression, classification, time series forecasting and anomaly detection, as well as models for image and video analysis. Analysis, processing and quality assurance of large, heterogeneous datasets (e.g. sensor, image, and operational data) Feature engineering, selection of suitable modeling approaches and hyperparameters taking into account functional requirements, technical framework conditions and operational restrictions. Implementation of ML models in robust, production-like code structures Close collaboration with the specialist departments to translate technical questions into data-driven use cases and model approaches. Documentation of models, data assumptions, results and limitations to ensure traceability, governance requirements and maintainability. Support in...