How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
Role Summary
We are looking for a Data Scientist to join our team and help develop machine learning and AI solutions that support our customer operations.
The role combines NLU, machine learning and experimentation, with a strong emphasis on preparing high-quality training data and understanding what drives model performance. You will develop and improve NLU models, build solutions using structured and tabular data, implement new pipelines, and evaluate emerging techniques and approaches.
This is an opportunity to work across the full machine learning lifecycle, gain hands-on experience with production AI systems, apply research to real business problems, and help bring new ideas and techniques into production.
Responsibilities
- Build, evaluate and improve machine learning models and pipelines.
- Prepare, generate, curate and validate datasets from SQL and other data sources.
- Design and run experiments to improve model performance and measure outcomes.
- Develop machine learning solutions using both text and structured data.
- Investigate new research, techniques and tools and apply them to practical business problems.
- Work with stakeholders to understand problems, deliver data-driven solutions and communicate findings.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Essential Skills & Experience
- Degree in Data Science, Statistics, Mathematics, Computer Science or a related quantitative discipline.
- Strong understanding of machine learning fundamentals, model evaluation and experimental design.
- Proficiency in Python and strong SQL skills.
- Understanding of data preparation, feature engineering and data quality.
- Ability to reason about machine learning model performance and identify the factors that affect outcomes.
- Good understanding of AI assistant tools, including their strengths, limitations and appropriate use.
- Strong analytical and problem-solving skills.
- Eagerness to learn and develop as a data scientist.
Desirable Skills & Experience
- Master's degree in a quantitative discipline.
- Experience with NLP, NLU or text classification.
- Experience developing machine learning models using structured and tabular data.
- Familiarity with cloud platforms, MLOps concepts or model deployment.
Safe and Responsible AI
Safe and responsible AI is a core value of our team. We are looking for someone who takes an evidence-driven approach to machine learning, cares about the responsible use of AI, and is interested in applying research to real-world problems.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location