20 beste Stellen als machine learning in meerbusch – aktuell auf Personalsuche

Data Scientist Sales Data Hub (gn) full-time / part-time (hybrid)
DKV EURO SERVICE GmbH + Co. KG —Ratingen
- Teilzeit
- Flexible Arbeitszeiten
Quereinstieg KI Manager / Machine Learning (m/w/d) – 100% remote
LearnWise GmbH für Aus- und Weiterbildung —Neuss
- 50.000 € – 90.000 € pro Jahr
- Vollzeit
- Homeoffice
- PC-Kenntnisse
- Weiterbildungsprogramme
Direkt bewerben
2 Tage
Data Engineer (gn) full-time/part-time (hybrid)
DKV EURO SERVICE GmbH + Co. KG —Ratingen
- Teilzeit
- Informatik
- Wirtschaft
- Flexible Arbeitszeiten
Machine Learning Engineer - Fulfillment
JD.COM INTERNATIONAL UK LTD —Düsseldorf
- Vollzeit
- Informatik
- Bachelor
- Kommunikationsfähigkeit
Direkt bewerben
Machine Learning Engineer - Recommendation
JD.COM INTERNATIONAL UK LTD —Düsseldorf
- Vollzeit
- Informatik
- Bachelor
Direkt bewerben
Senior Data Scientist (gn) fulltime/parttime (hybrid)
DKV EURO SERVICE GmbH + Co. KG —Ratingen
- Teilzeit
- Führungserfahrung
- Flexible Arbeitszeiten
Senior Data Scientist Sales Data Hub (gn) full-time / part-time (hybrid)
DKV EURO SERVICE GmbH + Co. KG —Ratingen
- Teilzeit
- Flexible Arbeitszeiten
Data Scientist & ML Engineer - Predictive Analytics & Agentic AI
Intersnack IT KG —Düsseldorf
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger
mycareernow GmbH —Kaarst
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Microsoft Word
- Weiterbildungsprogramme
Direkt bewerben
AI Product Lead - Sales Data Models (gn) Vollzeit/Teilzeit (hybrid)
DKV EURO SERVICE GmbH + Co. KG —Ratingen
- Teilzeit
- Azure
- Machine Learning
- Teamleitung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Internship LLM Patent Intelligence
Henkel —Düsseldorf
- 1.050 € – 2.270 € pro Monat
- Vollzeit
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Abschlussarbeiten im Themenfeld: Effiziente, adaptive und dezentrale KI
Mikroelektronische Schaltungen und Systeme —Duisburg
- Per E-Mail
- Informatik
- Machine Learning
- Elektrotechnik
- Gleitzeit
- Flexible Arbeitszeiten
Quereinstieg als Prompt Engineer (m/w/d) – 100% remote
mycareernow GmbH —Mönchengladbach
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Microsoft Word
- Weiterbildungsprogramme
Direkt bewerben
Full Stack Entwickler (m/w/d) - Internal Tools & Data Applications
fair parken GmbH —Düsseldorf
- 50.000 € – 65.000 € pro Jahr
- Vollzeit
- Informatik
- C++
- APIs
- Kostenbeteiligung am Arbeitsweg
- Mitarbeiter-Rabatt
Direkt bewerben
Data Engineer
JINGDONG RETAIL (UK) LIMITED —Düsseldorf
- Vollzeit
- Informatik
- Bachelor
Direkt bewerben
Senior Data Scientist (m/f/d)
GXO Logistics —Dormagen
- Doktorat
- Master
- Bachelor
7 Tage
Data Engineer - AI Pipelines & DataOps
Intersnack IT KG —Düsseldorf
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
Data Engineer (gn) Vollzeit/Teilzeit (hybrid)
DKV EURO SERVICE GmbH + Co. KG —Ratingen
- Teilzeit
- Azure
- Datenanalyse
- SQL
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Senior Data Scientist (gn) Vollzeit/Teilzeit (hybrid)
DKV EURO SERVICE GmbH + Co. KG —Ratingen
- Teilzeit
- Datenanalyse
- SQL
- Machine Learning
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Data Engineering Consultant (w/m/x) - Germany
Avanade —Düsseldorf
- Azure
- DevOps
- Weiterbildungsprogramme

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Weitere Job-Standorte erkunden

machine learning jobs near meerbusch

Data Scientist Sales Data Hub (gn) full-time / part-time (hybrid)

DKV EURO SERVICE GmbH + Co. KG -
Ratingen

Jetzt bewerben

Details zur Stelle

Teilzeit | Vollzeit

Leistungen

Firmenfahrrad-Leasing
Flexible Arbeitszeiten

Vollständige Stellenbeschreibung

Your job at DKV Mobility? As part of a leading European B2B platform for on-the-road payment solutions, you will work in an exciting environment. Our tasks are defined by our Purpose: To drive the transition towards an efficient and sustainable future of mobility. We offer you numerous opportunities to help shape the mobility of tomorrow in a dynamic and agile environment. Our approximately 2,700 employees throughout Europe are united by a common passion: to give their best every day for our customers in more than 50 countries. True to our claim: You drive, we care. Become part of our diverse, dedicated and unique team!

What you can expect

You apply and continuously further develop statistical and machine learning models, including regression models, time series analyses, classification, and clustering, to address sales-related use cases such as pipeline forecasting, churn prediction, and lead scoring.
You independently design, develop, and own data science and AI solutions in Python and SQL on Azure and Snowflake, covering the full lifecycle from proof of concept to productive models in a sales context.
You create new analyses based on large sales data sets and derive clear, actionable recommendations for sales stakeholders.
You work closely with data engineers and data analysts on the ongoing development of KPIs, dashboards, and reporting solutions.
You translate complex analytical results into tailored, audience-oriented data storytelling.
You actively support the assurance of data quality and the validation of model inputs in close alignment with data governance.
You proactively identify optimization potential and new AI and analytics use cases within the sales environment.

What makes you stand out

You bring solid experience in data science and advanced analytics, particularly with regression, classification, and time series models as well as ML and AI algorithms.
You have very strong skills in Python and SQL and hands-on experience working with cloud platforms such as Azure and Snowflake.
You have a good understanding of sales processes, CRM data, and key sales KPIs.
You are experienced in transitioning proof-of-concept models into productive, scalable solutions.
You are able to communicate complex modeling results clearly and effectively through audience-oriented data storytelling.
You demonstrate strong analytical and structured thinking, combined with a high level of initiative.
You communicate confidently and effectively with both sales and technical stakeholders.
You work independently and reliably, with a strong focus on execution and results.
You are fluent in both German and English.

We are looking forward to your application and to applicants who enrich our diverse culture! Regardless of age, gender, origin and sexual identity and orientation. Severely disabled applicants will be given preference if equally qualified. This position can be full-time or part-time (min. 30h/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full-time basis. Many of our employees work part-time or in flexible working models. Please talk to us about the flexibility you need during the application process.

Why DKV Mobility? Here are five good reasons...

At DKV Mobility, we are team players - because we are only successful together! #teamofteams
You should feel welcome with us from the very beginning!

We've been growing for about 90 years

How we do it? We keep adapting our products and business model to meet changing customer needs. That's how we stay mobile and master every challenge the future holds.

There are also many other good reasons to work at DKV Mobility. For example, we offer you comprehensive company health management, parent-child offices (from 2023) and support you in leasing your eBike through our partner Jobrad!

We attach great importance to work-life balance.

We stand for the compatibility of family and career! That's why we offer flexible working hours and family-friendly working time models. In addition, we rely on a balanced mix of on-site meetings and home office.

We support you in your development

We offer you optimal conditions to familiarize yourself so that you can quickly find your way around and become a part of the team! To further your personal development, we offer you access to a modern learning environment - independent of time and location. This way you can also face the challenges of tomorrow!

We are committed to a net-zero future

After reaching our Green Pledge climate target in 2023 by reducing carbon emissions in our own business operations by 50.4% compared to the base year 2019, we set ourselves ambitious net-zero climate targets. The targets have been validated by the Science Based Targets initiative. By 2050, DKV Mobility commits to reach net-zero greenhouse gas emissions across the value chain from a 2022 base year. You want to take climate action? Follow us on our road to net-zero.

We are a certified employer

Our employees trust us. As an employer, we regularly receive awards from independent institutes, e.g. as Top Employer Germany and as Great Place to Work!

Did you know that we have received several awards as an employer in recent years?

Have we made you curious? Then we are looking forward to your application! If you still have open questions then please contact Markus Gierse via [email protected].

Jetzt bewerben

Erweiterte Suche

machine learning Jobs in meerbusch

Data Scientist Sales Data Hub (gn) full-time / part-time (hybrid)

Quereinstieg KI Manager / Machine Learning (m/w/d) – 100% remote

Data Engineer (gn) full-time/part-time (hybrid)

Machine Learning Engineer - Fulfillment

Machine Learning Engineer - Recommendation

Senior Data Scientist (gn) fulltime/parttime (hybrid)

Senior Data Scientist Sales Data Hub (gn) full-time / part-time (hybrid)

Data Scientist & ML Engineer - Predictive Analytics & Agentic AI

Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger

AI Product Lead - Sales Data Models (gn) Vollzeit/Teilzeit (hybrid)

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Quereinstieg als Prompt Engineer (m/w/d) – 100% remote

Full Stack Entwickler (m/w/d) - Internal Tools & Data Applications

Data Engineer

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Data Engineer - AI Pipelines & DataOps

Data Engineer (gn) Vollzeit/Teilzeit (hybrid)

Senior Data Scientist (gn) Vollzeit/Teilzeit (hybrid)

Data Engineering Consultant (w/m/x) - Germany

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in meerbusch erhalten

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Weitere Job-Standorte erkunden

Why DKV Mobility? Here are five good reasons...

We've been growing for about 90 years

We attach great importance to work-life balance.

We support you in your development

We are committed to a net-zero future

We are a certified employer

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