data science and iot manager

Daimler Truck

<div><div><div><div><p>Aufgaben</p>
</div></div><div><div><div><div>Dich erwartet ein abwechslungsreiches und praxisnahes Studium. In den Praxisphasen lernst du von erfahrenen Kolleg:innen und wirst schnell im operativen Gesch&auml;ft und in spannende Projekte eingebunden. Du erh&auml;ltst die M&ouml;glichkeit, unterschiedlichen Bereiche kennenzulernen, dich einzubringen und eigene Ideen umzusetzen. Dar&uuml;ber hinaus wird das Studium durch fachliche und pers&ouml;nlichkeitsorientierte Seminare im Unternehmen erg&auml;nzt.</div><br>
<div>
<br>
</div><div>Der interdisziplin&auml;re Studiengang Data Science und K&uuml;nstliche Intelligenz mit der Studienrichtung Business Management vermittelt dir umfassende Grundlagen f&uuml;r die digitale Transformation der Wirtschaft. Du entwickelst Kompetenzen in Informatik, Mathematik und Machine Learning und setzt Data-Science- sowie KI-Methoden praxisnah in verschiedenen Unternehmensbereichen - von Produktion und Logistik bis hin zu Vertrieb, Einkauf und Personal - ein.</div><br>
<div>
<br>
</div><div>M&ouml;gliche T&auml;tigkeitsfelder:
</div><div><ul><li>Data Scientist</li>
<li>Data Analyst</li>
<li>KI- und ML-Spezialist*in</li>
<li>Data Project Manager</li>
</ul><div>Eine detaillierte Beschreibung der Theorieinhalte findest du auf der Homepage der DHBW.</div><br>
</div>
<p></p><div><ul><li>Eine Gemeinschaft, in der du lernst, und ein Team, das dich unterst&uuml;tzt</li>
<li>Ein attraktives Verg&uuml;tungspaket und flexible Arbeitszeiten</li>
<li>Vielf&auml;ltige Einsatz-, Weiterbildungs- und Karrierem&ouml;glichkeiten</li>
<li>Einen sehr guten Arbeitsplatz, mit dem Ziel einer festen &Uuml;bernahme</li>
<li>Work-Life-Balance, Gesundheitsangebote und betriebliche Altersvorsorge</li></ul></div></div></div></div></div></div><p></p>
<br><p>Stellennummer:
9105
Ver&ouml;ffentlichungszeitraum:
02.07.2026 - 31.08.2027
Einsatzort:
Mannheim
Gesellschaft:
Daimler Truck AG
T&auml;tigkeitsbereich:
Personal
Art der Anstellung:
Vollzeit (teilzeitgeeignet)
Benefits
Mitarbeiter Events
Betriebliche Altersvorsorge
Homeoffice m&ouml;glich
Mitarbeiterhandy m&ouml;glich
Mitarbeiterbeteiligung m&ouml;glich
Mitarbeiterrabatte m&ouml;glich
Flexible Arbeitszeit m&ouml;glich
Internetnutzung
Coaching
Gesundheitsma&szlig;nahmen
Zum Standort: Mannheim, Mercedes-Benz Werk
Kontakt
cornelia.patzschke@daimlertruck.com</p>

Duales Studium Data Science und Künstliche Intelligenz (m/w/d), Daimler Truck AG, Werk Mannheim, Studienbeginn 01.10.2027

MiniMed

<div>We anticipate the application window for this opening will close on - 7 Jul 2026
<p></p><p>At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world.
</p><p></p><h1 class="jobSectionHeader"><b>About the Role
</b></h1><p></p>This AI/Data Science Engineer II role is focused on delivering big-data analytics solutions that drive decision support for the business. This role bridges advanced data engineering with applied data science to enable smarter product design decisions and robust quality reporting and investigation support. The ideal candidate combines deep SQL expertise, proficiency in modern data warehouse technologies, and strong Python-based data analysis skills, along with a growing interest in AI-augmented development tools.
<p></p><p>Responsibilities may include the following and other duties may be assigned.
</p><ul><li><p>Partner with engineers and scientists to design and deliver analytical models, dashboards, and data pipelines that translate complex product datasets into actionable insights supporting product design decisions
</p></li><li><p>Design, build, and optimize SQL-based queries and data models across large-scale relational and cloud data warehouse environments, including ETL/ELT pipeline development and maintenance
</p></li><li><p>Apply Python-based data analysis and visualization tools (pandas, matplotlib, seaborn, plotly , etc.) to develop scalable, reusable analytical solutions
</p></li><li><p>Explore and integrate AI-assisted development tools (e.g., Windsurf, GitHub Copilot) to improve development velocity and code quality, and prototype machine learning models to support predictive analytics use cases.
</p></li><li><p>Communicate findings clearly to both technical and non-technical stakeholders through polished visualizations, reports, and presentations.
</p></li><li><p>Contribute to data infrastructure strategy , including schema design, data governance, and warehouse performance
</p></li></ul><p></p><p><b>Required Knowledge and Experience:
</b><br>
Requires a Bachelor's Degree and minimum of 2 years of relevant experience, or advanced degree with 0 years of experience.
</p><p></p><p><b>Preferred Qualifications:
</b></p><div><ul><li><p><b>Education: </b>Bachelor's degree in Data Science , Computer Science, Engineering, Statistics, or related field
</p></li></ul></div><div><ul><li><p><b>Experience: </b>3 - 5 years ( 1-3 years if master&rsquo;s degree) of hands-on experience deriving insights and driving decisions from large, complex datasets
</p></li></ul></div><div><ul><li><p><b>SQL: </b>Advanced proficiency - complex joins, window functions, CTEs, query optimization
</p></li></ul></div><div><ul><li><p><b>Data Warehousing: </b>Hands-on experience with platforms such as Snowflake, Databricks, BigQuery , Redshift, or Azure Synapse
</p></li></ul></div><div><ul><li><p><b>Python: </b>Proficient in pandas, NumPy, and data visualization libraries (matplotlib, seaborn, plotly )
</p></li></ul></div><div><ul><li><p><b>Statistics: </b>Solid working knowledge of foundational statistical concepts - hypothesis testing, distributions, regression, and sampling methods - applied to real-world product and quality datasets
</p></li></ul></div><div><ul><li><p><b>Communication: </b>Ability to translate technical findings into clear, actionable insights for cross-functional audiences
</p></li></ul></div><div><ul><li><p><b>Data Pipelines: </b>Familiarity with ETL/ELT workflows and pipeline tooling
</p></li></ul></div><div><ul><li><p><b>Cloud: </b>Experience with cloud platforms (AWS, Azure, GCP) in a data context
</p></li></ul></div><div><ul><li><p><b>MedTech / Healthcare: </b>Experience or genuine interest in medical technology, clinical studies, or healthcare data - strongly preferred
</p></li></ul></div><div><ul><li><p><b>Data Storytelling: </b>A passion for turning complex data into compelling narratives that drive action - strongly preferred
</p></li></ul></div><div><ul><li><p><b>Advanced Statistics: </b>Familiarity with advanced statistical techniques such as multivariate analysis, survival analysis, or statistical process control (SPC)
</p></li></ul></div><div><ul><li><p><b>AI Dev Tools: </b>Experience with AI-assisted coding environments such as Windsurf, GitHub Copilot, or similar
</p></li></ul></div><div><ul><li><p><b>ML/Modeling: </b>Familiarity with scikit-learn or similar ML frameworks for classification, regression, or anomaly detection
</p></li></ul></div><div><ul><li><p><b>BI Tools: </b>Experience with Power BI, Tableau, or similar dashboard/reporting platforms
</p></li></ul></div><p></p><h1 class="jobSectionHeader"><b>Physical Job Requirements
</b></h1><p></p><p>The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
</p><p>The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
</p><p></p><h1 class="jobSectionHeader"><b>Benefits &amp; Compensation
</b></h1><p></p><p><b>MiniMed offers a competitive salary and flexible benefits package
</b></p><p>At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life.
</p>Salary ranges for U.S (excl. PR) locations (USD):$87,000.00 - $149,000.00
<p></p><div><p>For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $ 87,000.00 - $149,000.00 USD.
</p></div><p></p><div><p>Actual compensation may vary based on factors including experience, education, certifications, skills, market conditions, internal equity, and geographic location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).<br>
</p></div><p></p><br>
This position is eligible for a short-term incentive called the Short Term Incentive (STI).
<p></p><p>At MiniMed, we are committed to supporting the well-being and financial security of our employees. Regular employees working 20 or more hours per week are eligible for a robust benefits package, including health, dental, and vision insurance, as well as access to a Health Savings Account, Healthcare Flexible Spending Account, life insurance, long-term disability leave, and a dependent daycare spending account. In addition, all regular employees enjoy incentive plans, a 401(k) plan with company match, short-term disability coverage, paid time off and holidays, participation in our Employee Stock Purchase Plan, and access to our Employee Assistance Program. Eligible employees may also benefit from our Non-qualified Retirement Plan Supplement and Capital Accumulation Plan, subject to IRS minimum earnings requirements. Please note that &ldquo;regular employees&rdquo; refers to those who are not temporary staff, such as interns, and some benefits may not apply to employees in Puerto Rico.
</p><p></p><p>For further details about our comprehensive benefits, we encourage you to visit the link below.
</p><p>MiniMed Benefits Overview
</p><p></p><h1 class="jobSectionHeader"><b>About MiniMed
</b></h1><p></p><p>MiniMed is a full-stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey &mdash; when and how they need it. For more than 40 years, we&rsquo;ve been committed to redefining what&rsquo;s possible: intelligent dosing systems designed for real life, predictive insights that stay a step ahead, and always on support when it&rsquo;s needed most. At the heart of everything we do is a simple Mission: to make every day a better day for people with diabetes.<br>
</p><p></p><p>Learn more about our business, and our mission here .<br>
</p><p></p><p>It is the policy of MiniMed to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, familial status, membership or activity in a local human rights commission, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, MiniMed will provide reasonable accommodations for qualified individuals with disabilities.<br>
</p><p></p><p>If you are applying to perform work for MiniMed in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which MiniMed reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. MiniMed will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</p></div>

AI/Data Science Engineer II

TSP LLC

<div><p><b>The Opportunity</b></p><p>
TSPi is seeking a Data Scientist Manager with experience leading teams supporting federal data science and analytics programs. TSPi excels in meeting the needs of our partners (clients) by offering advanced technology solutions utilizing our industry-specific knowledge, iterative Agile approach, commitment and passion to serve, collaborative and fun team atmosphere, and pride in our work.</p><p>
The successful candidate will lead teams of data scientists, data analysts, and other technical staff supporting data-intensive federal government projects. Projects may include work involving healthcare, social science, public health, and other federal program data. This individual will be responsible for managing analytics delivery, overseeing data management, data science, and analytical activities, supporting client engagements, and ensuring the production of high-quality data products and actionable insights.</p><p>
The ideal candidate combines strong technical expertise in data analytics and data science with demonstrated experience leading project teams, managing project execution, and embracing emerging technologies, including artificial intelligence and machine learning capabilities, to improve analytical outcomes and operational efficiency.</p><p>
The candidate will also be responsible for managing a team of data scientists, analysts, and engineers administratively and engaging in one-on-one meetings to provide mentorship, monitor performance and utilization, and nurture career growth. They will also be responsible for recruitment efforts to expand the overall data science and analytics team to support business growth.</p><p><b>
Core Responsibilities</b></p><ul><li>
Implement and promote the adoption and effective use of artificial intelligence, LLMs, machine learning, automation tools, and emerging analytical technologies.</li><li>
Oversee the analysis, visualization, and interpretation of various federal datasets.</li><li>
Manage delivery of analytical products, reports, dashboards, and data-driven recommendations to clients and stakeholders.</li><li>
Provide leadership across the data lifecycle, including data intake, storage, governance, synthesis, automation, and analytical development.</li><li>
Establish and implement policies, processes, and procedures that support effective data management, analytics delivery, and team performance.</li><li>
Lead the development and implementation of QA/QC protocols, defect tracking processes, and data governance standards to ensure data quality, integrity, security, and availability.</li><li>
Serve as the primary technical and operational point of contact for clients, stakeholders, and project leadership.</li><li>
Manage project priorities, resource allocation, staffing, workload balancing, and delivery schedules to ensure successful project outcomes.</li><li>
Lead and manage teams of data analysts, data scientists, data engineers, and other technical staff across multiple projects and workstreams.</li><li>
Mentor, coach, and develop team members, providing technical guidance, performance feedback, and career development support.</li><li>
Evaluate AI-enabled tools and methodologies to improve data processing, coding efficiency, workflow automation, and analytical capabilities.</li><li>
Support proposal development, technical solutioning, project planning, and business development activities.</li><li>
Collaborate with cross-functional teams including project leadership to communicate insights and translate complex analytical findings into actionable recommendations.</li><li>
Promote continuous improvement, innovation, and adoption of industry best practices across analytics and data science teams.</li></ul><p><b>
Position Requirements &amp; Preferences</b></p><p><b>
Required Qualifications</b></p><ul><li>
Bachelor's degree plus 9 years of relevant experience, Master's degree plus 7 years of relevant experience, or PhD plus 4 years of relevant experience.</li><li>
Degree in a data-focused discipline such as informatics, statistics, data science, computer science, economics, social science, public health, mathematics, or a related field.</li><li>
Strong understanding of AI tools and LLMs, machine learning concepts, analytical methodologies, and emerging technologies relevant to data analytics and data science.</li><li>
Demonstrated experience leading and managing teams of data analysts, data scientists, data engineers, and other technical professionals.</li><li>
Experience managing analytics projects, contract tasks, and client-facing deliverables.</li><li>
Strong expertise in statistical, data analytics, and data management languages including SQL, Python, SAS, and/or R.</li><li>
Strong experience with cloud platforms including AWS, Azure, or GCP.</li><li>
Experience working with relational databases and modern data management platforms including Databricks and Snowflake as well as with associated technologies including Docker, Kubernetes, MLFlow, or similar platforms.</li><li>
Experience implementing data governance, QA/QC, and data lifecycle management practices.</li><li>
Stay current on emerging trends, technologies, and best practices in data science, machine learning, and artificial intelligence and apply these learnings to project work and employee mentorship.</li><li>
Experience evaluating and implementing AI-enabled processes, automation tools, and analytical efficiencies including understanding the pros and cons of various AI LLMs.</li><li>
Experience working in a consulting environment, including direct client engagement and stakeholder communication.</li><li>
Strong technical writing skills with the ability to produce clear, concise, and well-documented analyses, reports, and presentations.</li><li>
Critical thinker with strong leadership, communication, collaboration, and problem-solving skills.</li><li>
Experience supporting proposal efforts, technical solutioning, and business development activities.</li><li>
Ability to obtain and maintain public trust access for federal information systems and successfully complete a federal background check.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Experience managing federal data and analytics programs particularly for CMS contracts.</li><li>
Experience with data linking methodologies, including fuzzy matching techniques such as Levenshtein distance, Jaccard similarity index, and Jaro-Winkler similarity index.</li><li>
Proficiency with version control tools including Git, Bitbucket, and SourceTree.</li><li>
Proficiency with agile project management principles and tools, including Jira and Confluence.</li><li>
Experience with leading analytic code translation and modernization efforts from SAS to Python including code evaluation and refactoring.</li><li>
Experience developing reports and dashboards, reporting solutions, workflow automation, and integrated data products.</li><li>
Experience supporting data science, predictive analytics, machine learning, or AI-enabled initiatives.</li><li>
Experience managing multidisciplinary teams in Agile project environments.</li></ul></div>

Data Scientist Manager

Compare The Market

<div><p><b>Data Science Manager
</b></p><p><b>Function: </b>Data &amp; AI Solutions
<br>
<b>Location: </b>Hybrid, London or Peterborough office<br>
</p><p></p><p><b>Curious about what&rsquo;s next?
</b><br>
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
</p><p>At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
</p><p>We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in.<br>
</p><p></p><p><b>We&rsquo;d love you to be part of our journey.
</b></p><p>Compare the Market is at an inflection point. We are shifting from a business that answers data questions to one that builds the intelligence powering our AI systems and platform.
</p><p>As a Data Science Manager in our Data &amp; AI Solutions team, you will lead a team building the models and pipelines that sit at the heart of that platform. Depending on the domain, that might mean understanding in near real-time how hundreds of insurance partners are pricing risk across millions of customer segments, predicting which of our 34 million customers is about to need a better deal, or building the models that power personalisation in our app. These are problems where the answer does not exist in the data yet; your team builds the systems to find it.
</p><p>You will set technical direction, develop your team, and work closely with product, commercial, and engineering colleagues to ensure the intelligence your team builds has a real effect on the business.<br>
</p><p></p><p><b>Some of the great things you'll be doing:
</b></p><p><b>Building Intelligence for Our AI Platform
</b></p><ul><li>Lead your team in building predictive systems that run continuously - always-on models that surface signals and feed our AI platform
</li><li>Design and oversee automated workflows that take model outputs through to decisions and actions
</li><li>Shape how your team approaches AI-powered systems, including where LLMs, retrieval-augmented generation, and multi-step AI patterns add value
</li><li>Ensure every model your team ships connects to a real outcome and has a mechanism to improve over time
</li></ul><p><b>Technical Leadership
</b></p><ul><li>Set the standard for modelling quality, reproducibility and production-readiness across your team - including model monitoring, drift detection and retraining cycles
</li><li>Take ownership of model performance in production: knowing when a system is degrading and having a plan to address it
</li><li>Be hands-on in design sessions, code reviews, and architectural decisions where your input matters
</li><li>Guide your team through a fast-moving tooling landscape: knowing when a classical model is the right call, when an LLM adds value, and when a more orchestrated approach is needed
</li><li>Champion responsible, auditable AI - particularly important in a regulated financial services environment where precision and explainability are non-negotiable
</li><li>Encourage and model the use of AI-assisted development tools within your team, and be actively curious about how automated coding and workflow tools can increase the pace and quality of your team's output
</li></ul><p><b>Stakeholder </b><b>Partnership
</b></p><ul><li>Work closely with commercial, product, and engineering leads to translate strategic priorities into well-scoped data science work
</li><li>Present model outputs in terms of decisions and outcomes, and contribute a credible data science perspective to planning and prioritisation conversations
</li></ul><p><b>Growing Your Team
</b></p><ul><li>Develop your data scientists through regular feedback, technical mentorship, and honest career conversations
</li><li>Contribute to hiring, helping bring in people who combine technical rigour with curiosity and commercial awareness
</li>Contribute to standards and practices across the wider Data &amp; AI Solutions chapter<br>
<li>
</li></ul><p></p><p><b>What we'd like to see from you:
</b></p><p><b>The Essentials
</b></p><ul><li>Experience leading data science teams and delivering ML solutions that run in production
</li><li>Strong Python and modelling fundamentals, sufficient to assess your team's work and contribute directly when needed
</li><li>A track record of taking models beyond the development environment and connecting them to decisions, workflows, or products with a measurable effect
</li><li>Direct experience of model production responsibilities: monitoring, degradation, retraining, and lifecycle management
</li><li>Clear communication; able to make technical work legible to commercial and product audiences
</li>Experience with MLflow, model registries, Databricks, or similar ML lifecycle and platform tooling<br>
<li>
</li></ul><p></p><p><b>Highly Valued
</b></p><ul><li>Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangGraph or LangChain
</li><li>Familiarity with multi-step AI patterns, building systems where models plan, retrieve information, and take sequences of actions
</li>Understanding of experimentation at scale and the infrastructure needed to run it well<br>
<li>
</li></ul><p></p><p><b>Why Compare the Market?
</b></p><p>We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
</p><p>We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
</p><p>If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.</p></div><p></p>

Data Science Manager

Deloitte

<div>
 Deloitte bietet f&uuml;hrende Pr&uuml;fungs- und Beratungsleistungen in Audit &amp; Assurance, Tax &amp; Legal, Consulting und Advisory - f&uuml;r nahezu 90 % der Fortune Global 500&reg; und zahlreiche private Unternehmen. Wir liefern innovative Denkans&auml;tze, l&ouml;sen komplexe Herausforderungen und f&ouml;rdern nachhaltiges Wachstum. Mit rund 470.000 Mitarbeitenden weltweit er&ouml;ffnen wir hervorragende Karrierechancen - getragen von einem starken &bdquo;Wir&ldquo; und einer Vielfalt an Perspektiven und F&auml;higkeiten.
 <br/>
 <br/>
 Du willst im Bereich
 <strong>
  Strategy, Risk &amp; Transactions &ndash; Advisory &ndash; Digital Risk
 </strong>
 unsere Kunden dabei unterst&uuml;tzen, digitale Risiken in Chancen zu verwandeln? Unser Team entwickelt innovative Services, um digitale Risiken zu reduzieren, Bedrohungen zu vermeiden und das Wachstum unserer Mandanten durch eine risikovermeidende Digitalisierung zu f&ouml;rdern. Sichere unseren gemeinsamen Erfolg und mach mit uns den Unterschied: als
 <strong>
  Manager AI &amp; Data Analytics (m/w/d)
 </strong>
 .
 <br/>
 <br/>
 Standorte:
 <strong>
  D&uuml;sseldorf
 </strong>
 <strong>
  , Berlin
 </strong>
 <strong>
  , Frankfurt (Main)
 </strong>
 <strong>
  , Hamburg
 </strong>
 <strong>
  und M&uuml;nchen
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Dein Impact:
  <br/>
  <br/>
 </strong>
 Als Manager AI &amp; Data Analytics (m/w/d) entwickelst und realisierst du gemeinsam mit deinem Team skalierbare, vertrauensw&uuml;rdige KI-L&ouml;sungen &ndash; von der Strategie bis zur technologischen Umsetzung &ndash; und tr&auml;gst so zur nachhaltigen digitalen Transformation unserer Kunden bei.
 <br/>
 <br/>
 <ul>
  <li>
   Fachkompetenz: Mit deiner Expertise und deiner Projekterfahrung begleitest du dein Team von der Entwicklung passender Handlungsempfehlungen bis zur erfolgreichen Umsetzung.
  </li>
  <li>
   Artificial Intelligence: In deinen Projekten verbindest du theoretische Grundlagen mit praktischer Erfahrung, um KI-L&ouml;sungen nachhaltig und &uuml;ber PoCs hinaus zu realisieren.
  </li>
  <li>
   Aufgabenvielfalt: Gemeinsam mit deinem Team deckst du ein breites Beratungsspektrum ab &ndash; von Data Management &uuml;ber Data Engineering und Data Science bis hin zu Analytics.
  </li>
  <li>
   Trustworthy AI: Durch dein Verst&auml;ndnis f&uuml;r vertrauensw&uuml;rdige KI setzt du Projekte nach den Prinzipien um und ber&auml;tst Kunden zielgerichtet.
  </li>
  <li>
   Technologie: Du nutzt deine Erfahrung mit Cloud-Technologien wie AWS, GCP oder Azure, um moderne Datenl&ouml;sungen effizient und skalierbar umzusetzen.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Dein Skillset:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Abschluss in Informatik, Statistik, Finanz-/Wirtschaftsmathematik, Ingenieurwissenschaften oder Naturwissenschaften; fundierte Kenntnisse in Programmiersprachen und Analysewerkzeugen
  </li>
  <li>
   Mehrj&auml;hrige Berufserfahrung im Bereich K&uuml;nstliche Intelligenz und Data Science mit erfolgreich umgesetzten Projekten unter Einsatz moderner KI-Methoden sowie fundierter Praxis im Datenmanagement
  </li>
  <li>
   Sicherer Umgang mit Python und relevanten Frameworks (sklearn, TensorFlow, Keras, PyTorch) sowie alternativ R, Java oder C++; Erfahrung mit Datenmanagement-Technologien (SQL, Spark, Hadoop) und Analysetools (Qlik, Tableau)
  </li>
  <li>
   Ausgepr&auml;gte Hands-on-Mentalit&auml;t mit unternehmerischem Denken, hoher Lernbereitschaft und Kreativit&auml;t sowie einer klaren Kunden- und Teamorientierung
  </li>
  <li>
   Reisebereitschaft sowie Deutsch und Englisch sehr gut in Wort und Schrift
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Deine Chance:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Best-in-class Weiterbildung an der Deloitte University sowie im Rahmen individueller Qualifikationsangebote und Trainings
  </li>
  <li>
   Umfassende Entwicklungschancen durch strukturierte Karriereplanung, Inclusive Leadership, Entsendungsprogramme, projektbasierte Job-Rotation sowie F&ouml;rderung sozialen Engagements und Corporate Volunteering
  </li>
  <li>
   Vereinbarkeit von Beruf &amp; Familie dank Mobile Working &amp; Teilzeit, Sabbaticals und Familienservice, z. B. zur Unterst&uuml;tzung f&uuml;r pflegende Angeh&ouml;rige, Elternzeit-Beratung und vielem mehr
  </li>
  <li>
   Gesundheit &amp; Fitness im Fokus durch regelm&auml;&szlig;ige Gesundheitstage, Kooperationen mit Fitness-Anbietern und die Unterst&uuml;tzung von Sport- und Teamevents
  </li>
  <li>
   Attraktive Arbeitgeberleistungen inklusive Bike- und Pkw-Leasing, Firmen-Smartphone zur privaten Nutzung sowie flexiblen Arbeitsmodellen wie z. B. Vertrauensarbeitszeit und EU Remote Working
  </li>
  <li>
   Vielf&auml;ltige Gestaltungsspielr&auml;ume und aktive F&ouml;rderung einer inklusiven Unternehmenskultur - u. a. durch unsere Diversity &amp; Inclusion Mitarbeiter:innen-Netzwerke
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bist du bereit? Mach mit uns den Unterschied!
  <br/>
  <br/>
 </strong>
 Unser Recruiting-Team freut sich auf deine Bewerbungsunterlagen (CV sowie Abitur-, Hochschul- und Arbeitszeugnisse) &uuml;ber unser Online-Formular. Ein Anschreiben und ein Bewerbungsfoto sind bei uns nicht erforderlich.
 <br/>
 <br/>
 <strong>
  Gleiche Chancen f&uuml;r alle:
 </strong>
 Wir freuen uns &uuml;ber Bewerbungen von Menschen, die so vielf&auml;ltig sind wie wir &ndash; unabh&auml;ngig von Alter, Behinderung, ethnischer Herkunft und Nationalit&auml;t, Geschlecht, Religion, sexueller Orientierung oder sozialer Herkunft.
 <strong>
  Noch Fragen?
 </strong>
 Alle Infos zu unserem Bewerbungsprozess findest du in unseren
 <strong>
  <strong>
   Bewerbungs-FAQs
  </strong>
  .
  <br/>
  <br/>
 </strong>
 <strong>
  Dein Kontakt bei Fragen rund um Karrierethemen
  <br/>
  <br/>
 </strong>
 Unser Team Talent Acquisition &ndash; Aleksandra, Anja, Julia, Lea, Lisa, Silja und ihre Teams &ndash; unterst&uuml;tzt dich gerne bei allen Fragen rund um deine Karriere bei Deloitte. Du erreichst uns per E-Mail unter career@deloitte.de oder telefonisch unter +49 211 87724111.
 <br/>
 <br/>
 Job-ID: 49807
 <br/>
 <br/>
</div>


Manager AI & Data Analytics / Data Science (m/w/d) in Hamburg

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>CAPGEMINI INVENT</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
<p>In a world of globalisation and constant innovation organisations are creating, consuming, and transforming unprecedented volumes of data. We work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It&rsquo;s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your role, you will partner with our clients to deliver outcomes through the application of cutting-edge data science methods.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>In this position you will play a key part in:</p>
<ul><li>Lead delivery of Agentic &amp; Generative AI, Data Science, and Analytics projects, ensuring client expectations are met at every stage.</li>
<li>Inspire clients by demonstrating the transformative potential of Agentic &amp; Gen AI and data science to unlock business value.</li>
<li>Design and implement scalable AI solutions in collaboration with architecture and platform teams.</li>
<li>Mentor and develop data science consultants, championing technical excellence and delivery standards.</li>
<li>Drive business growth by contributing to proposals, pitches, and strategic direction alongside leading client delivery.</li>
</ul><p>As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<ul><li>Business Development &ndash; Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</li>
<li>Internal contribution &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</li>
<li>Learning &amp; development &ndash; Training to support your career development and the skills demand within the company, certifications etc.</li><br>
</ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p>We&rsquo;d love to meet someone with:</p>
<ul><li>Proven experience leading complex data science, Agentic &amp; Generative AI, and analytics projects, delivering value across the ML lifecycle using strong foundations in statistical modelling, natural language processing, time-series analysis, spatial analytics, and mathematical modelling methodologies.</li>
<li>Experience managing the delivery of AI/Data Science projects, gained through roles in either a consulting firm or industry, leading end-to-end client engagements.</li>
<li>A growth mindset with strong collaboration, communication, and analytical skills, able to build and maintain stakeholder relationships and influence effectively within a matrixed consulting environment.</li>
<li>The ability to apply domain expertise and AI/ML innovation to solve client challenges, and present clear, compelling insights to diverse audiences.</li>
<li>A proactive approach to business growth - identifying opportunities, contributing to proposals and pitches, fostering client trust, and supporting others&rsquo; professional development within the organisation.</li>
</ul><p>Working knowledge in one or more of the following areas:</p>
<ul><li>Cloud data platforms such as Google Cloud, AWS, Azure, and Databricks.</li>
<li>Programming languages such as Python, R, or PySpark.</li>
<li>Agentic &amp; Generative AI platforms such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI GPT-5 Agents, Orby AI, and Beam AI.</li>
<li>DevOps and MLOps principles for production AI deployments.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU'LL LOVE ABOUT WORKING HERE</b></h2>
</div><div><p>Data Science Consulting brings an inventive quantitative approach to our clients&rsquo; biggest business and data challenges to unlock tangible business value by delivering intelligent data products and solutions through rapid innovation leveraging AI. We strive to be acknowledged as innovative and industry leading data science professionals and seek to achieve this by focusing on three area of the data science lifecycle:</p>
<ul><li>Exploring the art of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies.</li>
<li>Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts into practical solutions that democratise access and maximise business advantage for our clients.</li>
<li>Scaling AI from lab to live by defining and implementing responsible AI design principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making.</li><br>
</ul><p></p><p>To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant#levels-of-national-security-c&hellip;
<br>
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.</p>
<p>Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
<br>
Some posts are restricted to sole UK Nationals for security reasons; therefore you may be asked about your citizenship in the application process.</p><br>
</div></div><p></p><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.
<br>
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p><br>
</div></div><p></p><div><div><h2 class="jobSectionHeader"><b>CSR:</b></h2>
</div><div><p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p>
<p>Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p>
<p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p><br>
</div></div><p></p><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><div><p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of &euro;22.5 billion.
</p></div><div><p>Make it real. | www.capgemini.com</p></div></div></div></div></div></div></div></div>

AI & Data Science Manager / Senior Manager

Enza Zaden

<div>
 <strong>
  This is why you want to join us as Data Scientist at Enza Zaden
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work at the intersection of AI, robotics, and seed technology, developing solutions that directly impact seed quality and production efficiency
  </li>
  <li>
   Be part of a multidisciplinary and forward-thinking team, where you collaborate closely with domain experts and shape the future of data-driven innovation within seed technology
  </li>
  <li>
   Contribute to sustainable agriculture and food security by improving scalability and make impact across the value chain
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Make a difference as Data Scientist
  <br/>
  <br/>
 </strong>
 As a Data Scientist within the Seed Robotics &amp; AI team, you will develop data-driven solutions that improve seed quality, producibility, and processing efficiency. You play a key role in translating complex data into actionable insights and scalable solutions. Your work contributes to optimizing seed production processes, enabling automation, and improving decision-making across operations and R&amp;D.
 <br/>
 <br/>
 You will collaborate closely with engineers and domain experts to ensure that data science solutions are effectively applied in real-world environments and operational workflows. Furthermore, you are curious about the domain, proactively engage with stakeholders, and enjoy turning complex challenges into tangible solutions that create measurable value.
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 <br/>
 Your responsibilities:
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 <ul>
  <li>
   Develop and deploy machine learning and AI models for seed quality analysis, classification, and prediction
  </li>
  <li>
   Work with diverse datasets to support automation and decision-making
  </li>
  <li>
   Translate operational and research questions into scalable analytical solutions
  </li>
  <li>
   Contribute to integrating data-driven solutions into operational processes and systems
  </li>
  <li>
   Contribute to end-to-end solution development, from data exploration to deployment and continuous improvement
  </li>
  <li>
   Work in an Agile environment, continuously iterating and improving solutions based on feedback
  </li>
  <li>
   Partner with IT and data platform teams to ensure robust, scalable, and maintainable solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your team
  <br/>
  <br/>
 </strong>
 You will be part of the Seed Robotics &amp; AI team, focused on developing and implementing data-driven solutions related to seed quality, processing, and production. The team operates globally and collaborates closely with Seed Operations, R&amp;D, and external partners. Together, you contribute to improving quality and increasing scalability through automation and advanced analytics.
 <br/>
 <br/>
 We work in a multidisciplinary environment where different areas of expertise come together, with a strong emphasis on delivering solutions that work in practice, not just in theory.
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 <br/>
 <strong>
  What You Bring As a Future Colleague
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A bachelor&rsquo;s degree in a STEM-related field, with 2&ndash;5 years of relevant work experience.
  </li>
  <li>
   Strong Python skills, including experience with ML frameworks (e.g., PyTorch) and data science libraries like NumPy, Pandas, and SciPy
  </li>
  <li>
   Experience with AI, machine learning and predictive modeling
  </li>
  <li>
   Proven experience with data pipelines, cloud environments (f.e. ata Bricks, Azure ML, and Blob storages), or MLOps is a plus
  </li>
  <li>
   Experience with version control and collaborative development practices
  </li>
  <li>
   Willingness to collaborate internationally and occasionally travel
  </li>
  <li>
   A curious mindset and willingness to learn about biological processes and production environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enza Zaden as your employer
  <br/>
  <br/>
 </strong>
 With more than 3.000 passionate team members across the world, we're on a daily mission to develop the finest vegetable varieties. Our goal? To deliver seeds with that special something: vegetables with better taste, better yields, and better resistance. On our mission to feed the world, we challenge ourselves to gain deeper insights and find the next breakthrough. We grow and innovate together, and everyone&rsquo;s contribution is valued.
 <br/>
 <br/>
 Throughout our 85 years, our family values, passion, independence and our focus on innovation have truly set us apart. Over 480 million people eat our vegetables every day, something we are very proud of! Our passion isn't just a trademark; it's our driving force, propelling our rapid growth. If you're ready to explore your potential and thrive in a supportive environment, we welcome you to develop your talents with us. The combination of entrepreneurship, initiative and a healthy dose of determination has made Enza Zaden great and brought us where we are today. Enza Zaden is and always will be in motion: in the past, present and future.
 <br/>
 <br/>
 <strong>
  What Can You Expect From Us
  <br/>
  <br/>
 </strong>
 As a family-owned company, we support you to thrive in all areas of life, so that you can be successful inside and outside of work. We offer:
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 <ul>
  <li>
   Access to a variety of wellbeing programs and healthy food options
  </li>
  <li>
   25 paid vacation days (employees have the option to buy extra vacation days equivalent to two times their weekly working hours)
  </li>
  <li>
   1 paid vitality day for all, plus extra days as your age increases
  </li>
  <li>
   Contribution for overnight stays if you live further away from Enza Zaden
  </li>
  <li>
   Laptop and smartphone
   <br/>
   <br/>
  </li>
 </ul>
 We aspire to be a good employer that cares for our employees, both during and after their careers at Enza Zaden. Our most important benefits include:
 <br/>
 <br/>
 <ul>
  <li>
   Active partnership in your professional development (personal growth)
  </li>
  <li>
   Tailor made development programs and global e-learning platform
  </li>
  <li>
   Employer sponsored retirement benefits
   <br/>
   <br/>
  </li>
 </ul>
 Join us for a career that grows with you! Are you curious to know more about Enza Zaden click on this link to our website.
 <br/>
 <br/>
 <strong>
  Get in touch
  <br/>
  <br/>
 </strong>
 Apply now using the application button. You will receive an automatic confirmation of your application within minutes, and we will respond to your application within 10 working days.
 <br/>
 <br/>
 Do you have any questions about our application process? Please feel free to reach out to:
 <br/>
 <br/>
 Sijmen Jansen
 <br/>
 <br/>
 Corporate Recruiter
 <br/>
 <br/>
 si.jansen@enzazaden.nl
 <br/>
 <br/>
 <strong>
  Good to know
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   An online personality questionnaire and a business case are part of the application process
  </li>
  <li>
   This position cannot be filled on an interim basis
  </li>
  <li>
   Enza Zaden is an equal opportunity employer and does not discriminate based on background, identity or personal characteristics
  </li>
 </ul>
</div>


Data Scientist – Seed Robotics & AI

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