American Express & Turing Hiring 2026 | Data Analyst and Data Scientist Jobs
Looking for Data Analyst and Data Scientist jobs in 2026? American Express and Turing are hiring talented candidates for exciting opportunities in data analytics, artificial intelligence, machine learning and Python-based development. These roles offer strong learning opportunities for candidates interested in building careers with top companies and working on data-driven technologies.
The American Express Analyst-Data Analytics role focuses on digital marketing analytics, audience strategy, experimentation and emerging AI capabilities, while Turing is offering a remote Data Scientist/Analyst opportunity focused on AI models, evaluations and data analysis. Both opportunities can provide valuable practical experience, industry exposure and future career opportunities in analytics and artificial intelligence.
Job Openings Overview
| Company | Role | Location | Work Mode |
|---|---|---|---|
| American Express | Analyst-Data Analytics | India | Hybrid |
| Turing | Data Scientist/Analyst | Remote | Remote |
American Express – Analyst-Data Analytics
| Company | American Express |
| Role | Analyst-Data Analytics |
| Location | India |
| Work Mode | Hybrid |
| Qualification | Bachelor’s or Master’s Degree in a quantitative field |
| Experience | As per official information |
| Salary | Not officially disclosed |
About the Role
The Analyst-Data Analytics position is part of the Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing at American Express. The team works as an analytics engine supporting commercial customer acquisition, engagement and retention through insights, data products and analytical solutions. This role supports strategy, analytics and optimization across Paid Media, Affiliates and Cobrand platforms while using data, advanced analytics and emerging AI capabilities.
Role Overview
As an Analyst, you will lead analytical work supporting strategy for Affiliates, Paid Media and Cobrand channels for commercial audiences. The role involves designing data-driven strategies, building scalable analytical solutions and collaborating with business, digital and technology teams to improve audience targeting, personalization and prospect conversion.
Key Responsibilities
- Develop analytical solutions and data products that improve targeting accuracy, personalization and digital acquisition performance for the entire digital journey.
- Own end-to-end analyses focused on audience segmentation, experimentation, funnel optimization and identification of acquisition opportunities.
- Build and enhance models and decisioning strategies using American Express first-party data and evolving digital intelligence capabilities.
- Apply emerging AI and GenAI techniques, including intelligent customer journey optimization, semantic modeling and automated insights.
- Drive experimentation, performance measurement and investment optimization.
- Design test structures, evaluate results and make actionable recommendations to improve conversion and efficiency.
- Collaborate with cross-functional partners to support the implementation of analytical solutions and business impact.
- Synthesize insights and clearly communicate findings and strategy implications to leaders and stakeholders.
- Champion innovation and continuous improvement in digital analytics, advanced modeling, GenAI use cases and scalable data automation.
Required Qualifications
- Bachelor’s or Master’s Degree in Engineering, Mathematics, Finance, Computer Science, Statistics, Economics or another quantitative field.
- Strong analytical and problem-solving skills.
- Experience building machine learning models such as XGBoost and K-Means.
- Proficiency in SQL, Python or similar analytical tools.
- Knowledge of digital analytics or experimentation frameworks is a plus.
- Experience collaborating within cross-functional teams using data-driven insights.
- Ability to manage multiple priorities in a fast-paced and dynamic environment.
Preferred Qualifications
- Experience in digital marketing analytics, personalization, website optimization or acquisition strategy.
- Familiarity with clickstream analytics platforms, identity frameworks or real-time recommender systems.
- Familiarity with and interest in applying AI and GenAI capabilities to improve digital targeting outcomes.
Salary and Benefits
American Express has not officially disclosed the salary for this position. The company offers competitive base salaries and bonus incentives, depending on applicable factors.
- Competitive base salary.
- Bonus incentives.
- Support for financial well-being and retirement.
- Comprehensive medical, dental, vision, life insurance and disability benefits depending on location.
- Flexible hybrid, onsite or virtual working arrangements based on role and business needs.
- Generous paid parental leave depending on location.
- Access to global wellness centers depending on location.
- Free and confidential counseling support through the Healthy Minds program.
- Career development and training opportunities.
Why This Role Is Valuable
This opportunity is valuable for candidates interested in combining data analytics, digital marketing, machine learning and AI. The role provides exposure to audience segmentation, experimentation, personalization and AI-driven decision-making, helping professionals build transferable analytical skills for future careers in data science, digital analytics and AI.
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Turing – Data Scientist/Analyst
| Company | Turing |
| Role | Data Scientist/Analyst |
| Employment Type | Contractor Assignment |
| Work Mode | Remote |
| Commitment | 20, 30 or 40 hours per week |
| Minimum Requirement | At least 4 hours per day and 20 hours per week |
| Contract Duration | 1 Month |
| Qualification | Bachelor’s/Master’s Degree in Engineering, Computer Science or equivalent experience |
| Salary | Not officially disclosed |
About Turing
Turing is an AI company focused on accelerating the advancement and deployment of powerful AI systems. The company works with leading AI labs to advance model capabilities across areas including reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge, while also building AI systems for real-world commercial applications.
About the Role
Turing is seeking Data Scientists and Analysts with Python proficiency to work on advanced AI projects. The role involves developing innovative solutions, writing effective Python code, analyzing datasets, evaluating AI systems and collaborating with researchers. Candidates may work on commercial and research AI solutions for companies in the United States.
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What You’ll Do
- Design, develop and maintain efficient, high-quality code to train and optimize AI models.
- Conduct evaluations to benchmark AI model performance and analyze results for continuous improvement.
- Evaluate and rank AI model responses to user queries across diverse domains.
- Develop comprehensive explanations and rationales for evaluations.
- Lead Supervised Fine-Tuning activities, including creating and maintaining high-quality task-specific datasets.
- Collaborate with researchers and annotators on Reinforcement Learning with Human Feedback and reward model refinement.
- Design innovative evaluation strategies and processes to improve model alignment with user needs and ethical guidelines.
- Create and refine optimal responses to improve AI performance with clarity, relevance and technical accuracy.
- Conduct peer reviews of code and documentation.
- Collaborate with cross-functional teams to improve model performance and product capabilities.
- Continuously explore new tools, techniques and methodologies to improve AI training processes.
Required Skills
- Bachelor’s or Master’s Degree in Engineering, Computer Science or equivalent experience.
- Strong Python and data analysis skills.
- Strong desire to contribute to the field of artificial intelligence.
- Strong data analytical abilities and business sense.
- Ability to draw appropriate conclusions from datasets and clearly communicate findings.
- Excellent problem-solving and analytical skills.
- Excellent communication abilities for working with stakeholders and researchers.
- Fluent conversational and written English communication skills.
Contract Details and Benefits
The company has not officially disclosed the compensation for this contractor assignment. The position is fully remote and provides an opportunity to work on cutting-edge AI projects with leading LLM companies.
- Fully remote working environment.
- Opportunity to work on cutting-edge AI projects.
- Minimum commitment of 4 hours per day and 20 hours per week.
- Available time commitment options include 20, 30 or 40 hours per week.
- Four hours of overlap with PST is required.
- Contract duration is 1 month.
- Expected start date is next week.
- Contractor assignment with no medical or paid leave.
Evaluation Process
The evaluation process takes approximately 75 minutes and includes two interview rounds: a 60-minute technical interview followed by a 15-minute cultural and offer discussion.
Why This Opportunity Is Valuable
This remote opportunity can be valuable for professionals looking to build hands-on experience in AI model evaluation, Python development, supervised fine-tuning and RLHF. The role provides direct exposure to modern AI workflows and can strengthen skills relevant to future careers in artificial intelligence, data science and machine learning.
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Which Job Should You Choose?
| Company | Best For | Key Skills | Work Mode |
|---|---|---|---|
| American Express | Digital Analytics and Marketing AI | SQL, Python, ML, experimentation and audience analytics | Hybrid |
| Turing | Artificial Intelligence and AI Model Training | Python, AI evaluations, SFT, RLHF and data analysis | Remote |
The American Express role may be suitable for candidates interested in digital marketing analytics, machine learning, audience targeting and business strategy. The Turing opportunity is a strong option for professionals interested in remote AI work, Python development, AI model evaluation and modern large language model training workflows.
Frequently Asked Questions
1. What is the work mode for the American Express Analyst-Data Analytics role?
The position is listed as hybrid in Gurugram, Haryana, India.
2. Is the Turing Data Scientist/Analyst role remote?
Yes. Turing has listed this as a fully remote contractor assignment.
3. Is Python required for these jobs?
Yes. Both opportunities require or strongly emphasize Python. American Express lists Python among its analytical tools, while Turing specifically requires strong Python and data analysis skills.
Final Thoughts
These two opportunities offer different paths into high-growth data and AI careers. Apply early, strengthen your Python and SQL skills, build relevant projects and prepare thoroughly for technical interviews. Continue exploring more Data Analyst, Data Scientist and AI job opportunities to find a role that matches your career goals.