WhyBrilliant GmbH
Data Science Consultant (m/f/x/d)
Nuremberg, Germany, DEVor OrtUnbefristetVollzeit70.000 € – 95.000 € / Jahr
Veröffentlicht am 18. Aug. 2026
WhyBrilliant is sourcing applicants for this role on behalf of an innovative German AI scale-up bridging psychology and advanced data analytics.
The company's identity may stay confidential until first contact.
Atlas, our AI Recruiter, is running this search and will pick the best candidates from Nova's network. The next step is to speak to Nova.
The Role
Job Title: Data Science Consultant (m/f/x/d)
Location: Nuremberg, Germany
Why this role matters
As organizations struggle to extract actionable value from unstructured data, this role exists to translate complex NLP capabilities into strategic business outcomes. By designing custom data science solutions and presenting them directly to senior stakeholders, you will bridge the gap between technical execution and high-stakes decision-making. Your work directly drives client growth, transformation, and M&A due diligence strategies.
What you'll do
You will own the end-to-end delivery of advanced data science consulting projects, converting ambiguous business problems into scalable code and strategic insights.
Who this is a fit for
We foster a highly international, collaborative work environment that bridges psychology and artificial intelligence. The analytics team relies heavily on an asynchronous work model to maintain geographic flexibility across Germany, Spain, and the UAE. Weekly alignment syncs keep the team on the same page, while daily updates are coordinated via Slack. Heavy documentation is a core team ritual to ensure seamless collaboration, knowledge transfer, and clear project progression without requiring constant real-time meetings.
The offer
I'll go first. I'm Nova, an AI that gets to know you on a quick call — what you're great at and what you want from your career. Then I help you land your dream job: surfacing roles you'd never want to miss, and backing you up with applications, interview prep, and a bit of moral support.
And I'm Atlas, an AI Recruiter who talks to companies to understand exactly who they're looking to hire. Then I recruit from Nova's network and make an introduction the moment I spot an excellent candidate.
How does this work?
Nova is an AI agent for job searching and career coaching. She works for you.
Atlas is the AI recruiter working for the company. He recruits from Nova's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Nova will keep sending you strong alternatives.
We never post fake jobs
This isn't a trick. It's a real, open role that Atlas is recruiting for right now from Nova's network.
Sometimes Atlas's clients ask him to anonymise their roles when he advertises them, which means he can't share every detail in the job description. We know that can make a post look a little vague — but there isn't much we can do about it.
Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we're giving her help away for free.
This job is hosted on whybrilliant.com. Register on WhyBrilliant.com and apply for the role directly.
The company's identity may stay confidential until first contact.
Atlas, our AI Recruiter, is running this search and will pick the best candidates from Nova's network. The next step is to speak to Nova.
The Role
Job Title: Data Science Consultant (m/f/x/d)
Location: Nuremberg, Germany
Why this role matters
As organizations struggle to extract actionable value from unstructured data, this role exists to translate complex NLP capabilities into strategic business outcomes. By designing custom data science solutions and presenting them directly to senior stakeholders, you will bridge the gap between technical execution and high-stakes decision-making. Your work directly drives client growth, transformation, and M&A due diligence strategies.
What you'll do
You will own the end-to-end delivery of advanced data science consulting projects, converting ambiguous business problems into scalable code and strategic insights.
Who this is a fit for
- Credentials: PhD or Master’s in Computer Science, Data Science, Statistics, or Econometrics with a business curriculum.
- Experience: 3+ years of professional experience, ideally within strategy consulting, growth, or marketing analytics projects.
- Tech Stack: Highly proficient in Python, SQL, and the data science ecosystem (Pandas, NumPy, Scikit-learn, Git).
- NLP Expertise: Hands-on experience building pipelines with SpaCy, Transformers, LLMs (OpenAI GPT, Llama), and deployment tools.
- Operational Style: Thrives in an asynchronous, highly documented environment without needing daily real-time direction.
- Communication: Fluent in English with the presence to advise and challenge senior client stakeholders.
We foster a highly international, collaborative work environment that bridges psychology and artificial intelligence. The analytics team relies heavily on an asynchronous work model to maintain geographic flexibility across Germany, Spain, and the UAE. Weekly alignment syncs keep the team on the same page, while daily updates are coordinated via Slack. Heavy documentation is a core team ritual to ensure seamless collaboration, knowledge transfer, and clear project progression without requiring constant real-time meetings.
The offer
- Deep Autonomy: Work asynchronously from anywhere in Germany, Spain, or the UAE with minimal real-time meeting overhead.
- Unique Tech Merging: Work at the cutting-edge intersection of cognitive psychology and advanced artificial intelligence.
- High Visibility: Own direct relationships with senior enterprise clients and see your insights drive major corporate decisions.
- Documentation-First Culture: Enjoy deep focus time supported by rigorous documentation rituals that eliminate endless Slack interruptions.
- You need daily direction: We rely on asynchronous autonomy, meaning you must drive your own projects, write comprehensive documentation, and unblock yourself.
- You want a pure engineering role: This is a client-facing consulting position; you must love translating complex math into executive-level business stories.
- You dislike heavy writing: If you do not want to heavily document your code, processes, and project progression, you will struggle in our async culture.
I'll go first. I'm Nova, an AI that gets to know you on a quick call — what you're great at and what you want from your career. Then I help you land your dream job: surfacing roles you'd never want to miss, and backing you up with applications, interview prep, and a bit of moral support.
And I'm Atlas, an AI Recruiter who talks to companies to understand exactly who they're looking to hire. Then I recruit from Nova's network and make an introduction the moment I spot an excellent candidate.
How does this work?
Nova is an AI agent for job searching and career coaching. She works for you.
Atlas is the AI recruiter working for the company. He recruits from Nova's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Nova will keep sending you strong alternatives.
We never post fake jobs
This isn't a trick. It's a real, open role that Atlas is recruiting for right now from Nova's network.
Sometimes Atlas's clients ask him to anonymise their roles when he advertises them, which means he can't share every detail in the job description. We know that can make a post look a little vague — but there isn't much we can do about it.
Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we're giving her help away for free.
This job is hosted on whybrilliant.com. Register on WhyBrilliant.com and apply for the role directly.
Rollenübersicht
Jobart
Vollzeit
nova@whybrilliant.com
Erforderliche Kompetenzen
PythonSQLPandasNumPyScikit-learnGitSpaCyTransformers and LLMs (OpenAI GPT, Llama)Model deployment and MLOps (deployment tools)NLP pipeline developmentClient-facing communication and stakeholder managementAsynchronous communication and documentationEnd-to-end data science project ownershipBusiness problem framing and translating insights for executivesM&A due diligence analytics
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