Gateway

Build your career here.

Join a team of exceptional data scientists, data engineers, machine learning engineers, and AI researchers who are passionate about transforming industries through intelligent solutions across banking, insurance, asset management, marketing, and pharmaceuticals.

Market Skills Demand Analysis

2024 Data Science Skills Demand Heatmap

Banking
Healthcare
Insurance
Marketing
Pharma
Python/R
95
92
94
90
93
Machine Learning
89
95
87
91
97
SQL/Databases
85
82
88
86
79
Cloud (AWS/Azure)
83
75
78
81
84
Deep Learning
72
89
65
78
92
NLP
68
76
82
88
81
Computer Vision
45
91
58
62
87
MLOps
79
71
73
69
82
Demand Level:
40-59%
60-69%
70-79%
80-89%
90%+

Top Demanded Skills

Python/R Programming
93%
Machine Learning
92%
SQL & Databases
84%
Cloud Platforms
80%

Industry Insights

Pharma leads in ML/DL demand94%
Healthcare needs CV expertise91%
Marketing values NLP skills88%
Banking requires MLOps expertise79%

Source: Industry demand analysis based on 10,000+ job postings across Banking, Healthcare, Insurance, Marketing, and Pharmaceutical sectors.

Why Gateway?

Cross-Industry Impact

Work on diverse projects spanning financial services, healthcare, and marketing, applying cutting-edge ML techniques to solve real-world challenges across multiple industries.

Advanced Technology Stack

Work with state-of-the-art ML frameworks, cloud platforms, and emerging AI technologies including transformer models, computer vision, and federated learning systems.

Research-Driven Culture

Contribute to published research, develop novel algorithms, and shape the future of AI/ML applications while delivering immediate business value to our enterprise clients.

Internships

Business Analyst Internship

New York, Connecticut
Remote, On-Site

Join our business strategy team to analyze market trends, evaluate business processes, and support strategic decision-making for enterprise clients. Develop business intelligence reports and present actionable insights to senior management teams.

Requirements: Pursuing degree in Business Administration, Economics, Finance, or related field. Strong analytical and communication skills. Proficiency in Excel, PowerPoint, and data analysis tools. Interest in consulting and strategic business analysis.

Financial Analyst Internship

Connecticut
Remote, On-Site

Support financial analysis and reporting for investment decisions. Learn financial modeling fundamentals, assist with market research, and help prepare presentations for client meetings. Gain exposure to banking and asset management operations.

Requirements: Pursuing degree in Finance, Economics, Business, or related field. Strong analytical skills and proficiency in Excel. Interest in financial markets and investment analysis. Basic understanding of accounting principles preferred.

Accounting Internship

New York, Connecticut
Remote, On-Site

Support financial reporting, budgeting, and compliance activities for our consulting operations. Assist with client billing, expense management, and financial statement preparation. Learn corporate accounting practices in a consulting environment.

Requirements: Pursuing degree in Accounting, Finance, or Business Administration. Strong attention to detail and organizational skills. Proficiency in Excel and accounting software. Understanding of basic accounting principles and financial statements.

Data Science Internship

New York, Connecticut
Remote, On-Site

Apply advanced analytics and machine learning techniques to solve complex business problems for enterprise clients. Work with predictive modeling, statistical analysis, and data mining to uncover patterns and build data-driven solutions.

Requirements: Pursuing degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Strong foundation in Python/R, machine learning, and statistical methods. Experience with data science libraries and eagerness to learn advanced techniques.

Full-Time Positions

Senior Machine Learning Engineer

New York, Connecticut
Full-Time | On-Site, Hybrid
$140K - $180K + Equity

Lead the development of production-grade ML systems for enterprise clients across banking, healthcare, and pharmaceuticals. Drive technical architecture decisions, mentor junior engineers, and collaborate directly with client technical teams on high-impact AI solutions.

Requirements: 5+ years experience in ML engineering with production deployments. Expertise in PyTorch/TensorFlow, MLOps frameworks, and cloud platforms (AWS/Azure). Strong background in statistical modeling, deep learning, and model optimization. Experience with enterprise client consulting preferred.
Key Responsibilities: Design scalable ML architectures • Lead model development and deployment • Mentor team members • Interface with client technical stakeholders • Drive best practices for ML lifecycle management

Principal Data Scientist

Connecticut
Full-Time | Hybrid, Remote
$160K - $220K + Equity

Lead data science initiatives and research projects that shape the future of AI applications in finance, healthcare, and marketing. Work closely with C-level executives, publish cutting-edge research, and drive strategic technical decisions across multiple client engagements.

Requirements: PhD in Computer Science, Statistics, Mathematics, or related field, or 8+ years equivalent industry experience. Proven track record of leading data science teams and delivering business impact. Expertise in advanced ML/AI techniques, statistical modeling, and research methodology. Strong client-facing and presentation skills.
Key Responsibilities: Lead strategic data science projects • Develop novel ML methodologies • Present to executive stakeholders • Publish research papers • Guide technical vision and roadmap • Mentor data science team

Benefits & Perks

Compensation

  • Competitive base salary
  • Performance-based bonuses
  • Equity participation
  • Annual salary reviews

Health & Wellness

  • Comprehensive health insurance
  • Dental and vision coverage
  • Mental health support
  • Fitness membership

Time Off

  • Unlimited PTO policy
  • Sabbatical opportunities
  • Parental leave
  • Holiday schedule

Professional Development

  • Conference attendance
  • Training programs
  • Research publications
  • Continuing education

Work Environment

  • Flexible work arrangements
  • State-of-the-art technology
  • Collaborative workspace
  • Catered meals

Financial Benefits

  • 401(k) with matching
  • Life insurance
  • Disability coverage
  • Commuter benefits

Students & New Graduates

We offer comprehensive programs for students and recent graduates looking to launch their careers in data science, machine learning, and AI consulting across enterprise industries.

Summer Internship Program

10-week program for undergraduate and graduate students. Work on real client projects alongside our ML engineering and data science teams across multiple industries.

Graduate Training Program

18-month rotational program for new graduates. Gain exposure to banking, healthcare, and marketing AI applications while developing specialized expertise in your chosen domain.

Application Timeline

Summer InternshipsApplications due: February 1
Graduate ProgramApplications due: October 15
Campus RecruitingSeptember - November
Final InterviewsNovember - December

Ready to join our team?

Take the next step in your career and help us shape the future of AI and machine learning across industries.