Why NESS
We know that people are our greatest asset. Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technological companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You'll gain knowledge by working alongside other highly skilled professionals that will help accelerate your career progression.
You'll also benefit from a range of advantages, including access to training and certifications, bonuses, aids, social activities, and attractive compensation.
Salary: from 2.500-3.000 EUR/month depending on seniority, skills and experience + benefits. The final offer for the selected candidate will reflect the candidate´s comprehensive assessment, skills, and past work experience.
We are seeking a Data Scientist with an interest in Generative AI, LLMs, Machine Learning, and agentic systems. This role is part of a newly established Advanced Solutions team focused on applied AI research, rapid prototyping, and turning innovative ideas into real business solutions.
Working in a dynamic, startup-like environment, you'll receive high-level challenges and collaborate with the team to quickly design, build, test, and iterate on AI solutions. We're looking for someone who enjoys experimenting, learning new technologies, and taking ownership from idea to implementation.
- Reinvent how insights are shared and consumed by our customers.
- High-level orchestration across data ecosystems to eliminate silos.
- Hyper-personalization and natural interaction for fleet operations.
- Seamless "what if" scenario exploration and data-driven decision making for fleet managers.
- Design and build AI components that enhance predictive models for accident risk, energy consumption, tire wear, and other key indicators.
- Rapidly prototype, test, and iterate on new AI, Machine Learning, and GenAI solutions.
- Work across the full lifecycle—from understanding the problem, preparing data, building prototypes, validating results, and deploying working solutions.
- Contribute to long-term innovation by exploring emerging AI technologies, bringing new ideas, and experimenting with modern frameworks and approaches.
- Collaborate closely with a small international team to solve open-ended business challenges and deliver practical AI solutions.
- Experiment with technologies such as LangChain, LangGraph, MCP, Agentic AI, and other modern AI frameworks where appropriate.
- Evaluate different approaches and select solutions based on business value, performance, and scalability.
- Contribute across the full lifecycle—from prototype (POC) to industrialization and market launch.
- Strong analytical and problem-solving mindset with the ability to work independently and take ownership.
- Excellent communication skills for collaborating with both technical and non-technical stakeholders.
- Curiosity, adaptability, and enthusiasm for learning new technologies in a fast-paced environment.
- Data Scientist / AI Engineer / Machine Learning Engineer
- Around 2–5 years of experience in AI, Machine Learning, or Data Science (seniority is flexible—we're more interested in mindset, hands-on experience, and motivation).
- Experience with Python and data processing (PySpark and SQL are an advantage).
- Hands-on experience with Machine Learning, Generative AI, LLMs, or Agentic AI through commercial or personal projects.
- Understanding of modern AI technologies and willingness to continuously learn and experiment.
- Ability to take ownership of tasks and deliver end-to-end solutions.
- Detail-oriented with a practical, "getting things done" mindset.
- Comfortable working in a fast-moving, startup-like environment with evolving priorities.
- Strong analytical and critical thinking skills.
- English level: B2 minimum.
Skills Required
- Around 2–5 years of experience in AI, machine learning, or data science
- Experience with Python and data processing
- Hands-on experience with machine learning, generative AI, LLMs, or agentic AI through commercial or personal projects
- Understanding of modern AI technologies and willingness to continuously learn and experiment
- Ability to take ownership of tasks and deliver end-to-end solutions
- Strong analytical and critical thinking skills
- English proficiency at B2 level or higher
- Experience with PySpark and SQL
Ness Digital Engineering Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ness Digital Engineering and has not been reviewed or approved by Ness Digital Engineering.
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Healthcare Strength — Healthcare coverage is often positioned as comprehensive, with medical and dental described as strong in North America. Wellness programs are also emphasized as part of the core package.
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Flexible Benefits — Flexible or remote work options are frequently highlighted as part of the overall rewards experience. Learning and upskilling support is repeatedly framed as a meaningful benefit tied to the employee value proposition.
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Fair & Transparent Compensation — Pay is characterized as generally “okay to good,” with stronger packages appearing for certain senior roles and some U.S. positions. This suggests compensation can be market-aligned when role level and geography are favorable.
Ness Digital Engineering Insights
What We Do
Ness Digital Engineering, acquired by global investment firm KKR in 2022, is a full-lifecycle digital engineering firm offering digital advisory through scaled engineering services. Headquartered in New York, Ness serves our customers across 11 innovation hubs in the US, Eastern Europe, and India. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. For more information, visit www.ness.com
