drjobs Senior Data AI Consultant

Senior Data AI Consultant

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1 Vacancy
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Job Location drjobs

Berlin - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Summary:

The Senior Data & AI Consultant is responsible for the structured identification and analysis of customer requirements in the field of Data AI & ML. They support the Commercial Team by developing solution proposals that are both technologically sound and businesscomprehensible. Additionally they act as a Trusted Advisor for customers particularly in the media sector.

Responsibilities:

Requirements Analysis & Presales:

  • Participate in initial customer meetings to identify requirements and business objectives.
  • Structurally analyze customer briefings to extract key challenges and identify missing information.
  • Develop a rebriefing to align the enhanced understanding with the customer.

Solution Development & Architecture:

  • Develop solution approaches for Data AI & ML projects considering cloud technologies (AWS Azure GCP).
  • Define the necessary infrastructure data architecture and machine learning pipelines.
  • Create a technical solution proposal including team composition and estimated implementation timeline.

CustomerCentric Communication & Proposal Support:

  • Support the Commercial Team in preparing proposals including the technical rationale.
  • Present solutions in a clear and understandable manner for different stakeholders (both technical & business).
  • Clarify technical and commercial questions throughout the proposal process.

Implementation Experience & Media Industry Focus:

  • Experience in executing Data AI and ML projects preferably in agile teams.
  • Ability to quickly grasp challenges in the media industry and develop industryspecific solutions.

Qualifications :

Required Qualifications

Technical Skills:

  • Solid understanding of data architectures data warehouses data lakes and modern cloud technologies (AWS Azure GCP).
  • Experience with Machine Learning Operations (MLOps) data governance and AIpowered analytics.
  •  Knowledge of streaming and realtime data processing (Kafka Airflow Kinesis etc..
  • Programming languages: Python SQL (Spark or Scala is a plus).
  • Experience with AI frameworks and libraries (TensorFlow PyTorch OpenAI API etc..
  • Understanding of regulatory requirements and data security policies.

Soft Skills & Business Acumen:

  • German (Native) English (C1
  • Analytical Thinking: Ability to break down complex problems into components and derive structured solutions.
  • Communication: Ability to explain technical concepts in a simple and convincing way even to nontechnical stakeholders.
  • Structured Work Approach: Experience in methodical requirement analysis and solution development.
  • Persuasiveness: Ability to advise customers and enable wellinformed decisions.
  • Collaboration: Close interaction with internal teams to ensure a seamless transition from presales to delivery.
  • Industry Knowledge: Experience in the media sector or the ability to quickly adapt to mediarelated challenges.


Additional Information :

Preferred Experience & Education:

  • Degree in Computer Science Data Science Engineering Business Informatics or a related field.
  • 5 years of experience in Data Engineering Data Science or AI/ML consulting.
  • Experience in consulting and presales ideally with direct customer interaction.
  • Industry knowledge in media companies or other datadriven industries is a plus.

At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Company Industry

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