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- Tasks: Design and develop cutting-edge AI systems for natural language understanding and data extraction.
- Company: Join S&P Global's innovative Collection Platforms & AI team.
- Benefits: Enjoy health coverage, flexible time off, and continuous learning opportunities.
- Other info: Dynamic work environment with excellent career growth and family-friendly perks.
- Why this job: Lead the future of AI while making a real impact in a global team.
- Qualifications: Bachelor's or Master's in a relevant field with 3+ years of ML experience.
The predicted salary is between 60000 - 80000 ÂŁ per year.
About the Role
The Collection Platforms & AI team focuses on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global and our clients. You will spearhead development of production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a global team and be encouraged for thoughtful risk-taking and self‑initiative.
Responsibilities and Impact
- Design and develop scalable machine learning models and AI systems for natural language understanding and data extraction applications.
- Build and maintain production‑ready AI pipelines and infrastructure to support real‑time data processing and model deployment.
- Lead the development of information retrieval systems that enhance data sourcing capabilities for S&P Global's platforms.
- Collaborate with cross‑functional teams to translate business requirements into technical AI solutions and product features.
- Drive innovation in ML methodologies while ensuring robust testing, monitoring, and optimization of AI models in production.
- Mentor team members and contribute to technical decision‑making processes that shape the future of AI products at S&P Global.
What We’re Looking For
Basic Required Qualifications
- Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, or related technical field.
- 3+ years of experience developing and deploying machine learning models in production environments.
- Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for ML model deployment and scaling.
- Proficiency in data processing technologies including but not limited to Apache Spark, Pandas, or similar data manipulation tools.
- Strong understanding of natural language processing techniques and information retrieval systems.
Additional Preferred Qualifications
- Experience with MLOps tools and practices such as MLflow, Kubeflow, or similar model lifecycle management platforms.
- Knowledge of containerization technologies such as Docker, Kubernetes, or OpenShift for model deployment.
- Experience with big data technologies and distributed computing frameworks for large‑scale data processing.
- Previous experience in financial services, data analytics, or enterprise software development environments.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company‑matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best‑in‑class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
Data Scientist employer: S&P Global
Contact Detail:
S&P Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to natural language processing. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of your work, especially those involving natural language processing or data extraction. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you express why you're a great fit for our team without rambling.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at S&P Global
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and ML frameworks mentioned in the job description, like Python, TensorFlow, and PyTorch. Brush up on your knowledge of natural language processing techniques and be ready to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and developed scalable machine learning models or AI systems. Think about challenges you faced and how you overcame them, especially in production environments. This will demonstrate your hands-on experience and ability to think critically.
✨Understand the Business Context
Familiarise yourself with S&P Global’s products and how AI can enhance their capabilities. Be ready to explain how your technical skills can translate into business solutions, particularly in data extraction and information retrieval. This shows that you’re not just a techie but also understand the bigger picture.
✨Be Ready to Collaborate
Since the role involves working with cross-functional teams, prepare to discuss your experience in collaborative projects. Highlight any mentoring roles you've taken on and how you’ve contributed to team decision-making processes. This will show that you’re a team player who can lead and inspire others.