Data Scientist (f/x/m) | JobSetuu

Description

Job Overview

• Source: Arbeitnow
• Location: Frankfurt am Main
• Job Type: Full-Time

Job Description

spotixx is a Frankfurt-based European FinTech building technology for the regulated financial sector. Founded in 2019, we are a 60+ people team with deep, established relationships across the German and wider European banking sector, built on years of fraud investigation and insights work delivered inside major banks.

We are bootstrapped and set our own strategy and our own policies, without the compromises of chasing investor timelines. The market is moving toward us: European regulators are opening the door to cross-institutional financial crime intelligence, and we are scaling the team rapidly to meet strong inbound demand.

Tasks

We are looking for a hands-on Data Scientist who is passionate about applying machine learning to real-world financial crime problems. You enjoy working with complex transactional data, take ownership of models from idea to production, and care about building solutions that are not only accurate but also robust, explainable, and scalable. You are comfortable working in a fast-growing scale-up and collaborating closely with engineers and product teams.

Your responsibilities

• Develop and improve ML models for fraud detection
• Work on automated rule discovery and optimization for fraud detection
• Explore transactional and behavioral data to identify suspicious patterns
• Own feature engineering, model training, validation, and monitoring
• Take models from prototype to production
• Communicate results clearly to technical and business stakeholders

Requirements

Your profile

• Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• 2–3 years of hands-on experience in machine learning and applied data science, ideally in fraud detection, banking, or financial services
• Strong proficiency in Python and SQL
• Deep understanding of classification and anomaly detection algorithms, with the ability to select, tune, and evaluate models using appropriate metrics and validation strategies
• End-to-end ownership: from exploring high-dimensional data and building models to visualizing results, deploying to cloud platforms (GCP, Azure, or AWS), and managing the full model lifecycle
• Experience with LLMs and agentic workflows
• Familiarity with model explainability tools such as SHAP and model cards
• Structured, self-directed working style and strong communication skills
• Fluent in English; professional working proficiency in German, including client-facing technical discussions

Benefits

What we offer

• Attractive compensation
• Flexible hybrid work model, allowing you to split your time between our office in Frankfurt and working from home
• High ownership and real impact in a growing fintech
• Flat structures and short paths from idea to action
• A collaborative, international team culture

We welcome applications from all qualified people, as diversity enriches us. Your perspective matters: regardless of gender, age, origin, religion, sexual orientation, or disability. Applicants with disabilities will be given preference when equally qualified.

Find more English Speaking Jobs in Germany on Arbeitnow

Expert Career Tips for Data Scientist (f/x/m) Roles

To succeed in a competitive market as a Data Scientist (f/x/m), you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Data Scientist (f/x/m) requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Frankfurt am Main and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Frankfurt am Main, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Data Scientist (f/x/m) position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.