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(Senior) Data Scientist(m/w/x)
Developing intelligent conversational agents and optimizing in-house algorithms with generative AI and LLM fine-tuning. 5+ years of data science experience required. Hybrid working, 30 days holidays plus 2 extra days for Christmas and New Year's Eve.
Requirements
- Master’s degree in Data Science, Mathematics, Computer Science or related field
- 5+ years data science, business analytics, or AI integration experience
- At least 2 years in role requiring strong communication and stakeholder management
- Generative AI & Technical Proficiency
- Hands-on experience with LLM fine-tuning and modern NLP frameworks
- Proficiency in Python
- Proficiency in SQL
- Familiarity with AWS SageMaker, Docker, and Airflow
- Experience in ML Engineering solutions (ML Ops tools)
- Experience integrating models into enterprise systems
- Ability to translate technical concepts into business language
- Ability to manage change
- Ability to drive adoption of AI solutions
- Balancing technical constraints with business priorities
- Commitment to ethical and fair AI practices
- Ensuring equitable outcomes for all users
- Ability to work with C-suite
- Ability to work with product managers
- Ability to work with engineers
- Ability to work with operational teams
Tasks
- Advance core platform areas with data-driven solutions
- Build and optimize in-house algorithms
- Work with NLP and generative AI techniques
- Develop intelligent conversational agents
- Integrate solutions into business processes and systems
- Partner with Marketing for data-driven decision-making
- Advocate AI strategy alignment with business objectives
- Communicate AI value to stakeholders
- Prioritize initiatives based on AI insights
- Lead machine learning and AI development lifecycle
- Formulate problems and explore data
- Develop, evaluate, and deploy models
- Collaborate with data engineers and developers
- Stay updated on AI/ML advancements
- Apply cutting-edge AI/ML techniques
- Design intuitive AI interfaces and workflows
- Contribute to hackathons and training
- Engage in peer-to-peer knowledge exchange
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS SageMaker
- Docker
- Airflow
- ML Ops tools
- LLM fine-tuning
- NLP frameworks
Benefits
Flexible Working
- Hybrid working model
More Vacation Days
- 30 days of holidays
- 2 extra days for Christmas and New Year's Eve
Retirement Plans
- Company pension scheme
Mental Health Support
- 24/7 Employee Assistance Programme
Other Benefits
- Life Assurance Cover
Purpose-Driven Work
- Volunteering days
Company Bike
- Job bike
Parking & Commuter Benefits
- Discounted parking or job ticket
Healthcare & Fitness
- In-house gym
Snacks & Drinks
- In-house barista
Informal Culture
- Bring your dog to the office
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(Senior) Data Scientist(m/w/x)
Developing intelligent conversational agents and optimizing in-house algorithms with generative AI and LLM fine-tuning. 5+ years of data science experience required. Hybrid working, 30 days holidays plus 2 extra days for Christmas and New Year's Eve.
Requirements
- Master’s degree in Data Science, Mathematics, Computer Science or related field
- 5+ years data science, business analytics, or AI integration experience
- At least 2 years in role requiring strong communication and stakeholder management
- Generative AI & Technical Proficiency
- Hands-on experience with LLM fine-tuning and modern NLP frameworks
- Proficiency in Python
- Proficiency in SQL
- Familiarity with AWS SageMaker, Docker, and Airflow
- Experience in ML Engineering solutions (ML Ops tools)
- Experience integrating models into enterprise systems
- Ability to translate technical concepts into business language
- Ability to manage change
- Ability to drive adoption of AI solutions
- Balancing technical constraints with business priorities
- Commitment to ethical and fair AI practices
- Ensuring equitable outcomes for all users
- Ability to work with C-suite
- Ability to work with product managers
- Ability to work with engineers
- Ability to work with operational teams
Tasks
- Advance core platform areas with data-driven solutions
- Build and optimize in-house algorithms
- Work with NLP and generative AI techniques
- Develop intelligent conversational agents
- Integrate solutions into business processes and systems
- Partner with Marketing for data-driven decision-making
- Advocate AI strategy alignment with business objectives
- Communicate AI value to stakeholders
- Prioritize initiatives based on AI insights
- Lead machine learning and AI development lifecycle
- Formulate problems and explore data
- Develop, evaluate, and deploy models
- Collaborate with data engineers and developers
- Stay updated on AI/ML advancements
- Apply cutting-edge AI/ML techniques
- Design intuitive AI interfaces and workflows
- Contribute to hackathons and training
- Engage in peer-to-peer knowledge exchange
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS SageMaker
- Docker
- Airflow
- ML Ops tools
- LLM fine-tuning
- NLP frameworks
Benefits
Flexible Working
- Hybrid working model
More Vacation Days
- 30 days of holidays
- 2 extra days for Christmas and New Year's Eve
Retirement Plans
- Company pension scheme
Mental Health Support
- 24/7 Employee Assistance Programme
Other Benefits
- Life Assurance Cover
Purpose-Driven Work
- Volunteering days
Company Bike
- Job bike
Parking & Commuter Benefits
- Discounted parking or job ticket
Healthcare & Fitness
- In-house gym
Snacks & Drinks
- In-house barista
Informal Culture
- Bring your dog to the office
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
StepStone Group
Industry
Other
Description
Das Unternehmen hat eine klare Mission, den richtigen Job für jede*n zu finden und setzt sich für faire Rekrutierung ein.
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