Senior Data Scientist, Fractal
Payment Processing
AI-driven data analytics platform
Be an early applicant
AI-driven data analytics platform
1001+ employees
Be an early applicant
1001+ employees
Company mission
To reshape business through science and advanced data tools and uncomplicate decision-making, so human intelligence can be freed from the drudgery of monotonous work and committed to the pursuit of imagination and creative rewards.
Role
Who you are
- Experience in payment processing, fintech, banking, or financial services preferred
- Understanding of operational workflows like incident management, reconciliation, risk assessment, dispute handling, or merchant onboarding
- Python (NumPy, pandas, scikit-learn, PySpark, TensorFlow/PyTorch)
- SQL & distributed computing frameworks
- Clustering, Supervised & Unsupervised learning, GenAI project experience
- Time-series modelling & anomaly detection
- NLP, deep learning, statistical modelling
- Strong understanding of: Real-time ML systems, High-volume transactional data, Cloud ML platforms (Azure/AWS/GCP), Feature stores and ML pipelines
- Work with cross-functional teams: Business SMEs, Data Scientists, Developers, Platform Admins, and Product Owners
- Lead requirement discovery sessions to map business needs into scalable data-driven app and automation designs
- Mentor junior developers and provide technical leadership across projects
- Strong stakeholder management and communication capabilities
- Ability to translate business requirements into scalable data architectures
- Experience working in global, multi‑regional delivery models
- Strong analytical and problem‑solving mindset with ownership
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
What the job involves
- 12 month Fixed Term Contract
- We are seeking a highly experienced Senior Data Scientist to drive advanced analytics, machine learning, and predictive modelling initiatives for a leading global payment processing organization
- The role focuses on building scalable AI/ML solutions that enhance fraud detection, credit risk assessment, merchant analytics, customer insights, operational efficiency, and decision intelligence across global payment ecosystems
- The role requires experience working with high‑volume transactional data, real‑time analytics, and compliance-driven financial environments
- Design and develop end-to-end ML models for fraud detection, anomaly detection, risk scoring, credit decisioning, transaction classification, and chargeback prediction
- Build predictive models using supervised, unsupervised, and deep learning techniques
- Lead research, experimentation, and model benchmarking to identify optimal algorithms
- Implement real-time scoring pipelines in low-latency payment environments
- Analyse large-scale payment transaction datasets to identify trends, patterns, and actionable insights
- Perform feature engineering for structured, semi-structured, and time-series data
- Work with data engineers to optimize data pipelines feeding ML/AI workloads
- Collaborate on data quality checks, lineage tracking, and metadata governance
- Partner with Fraud Operations, Risk, and Compliance teams to refine models and rules
- Develop explainable AI approaches for regulatory and audit requirements
- Mentor junior data scientists and analysts on ML methodologies and best practices
- Lead cross-functional initiatives with Data Engineering, Platform Engineering, BI, and Product
Application process
- End Date: May 31, 2026
Our take
The analysis of business data is essential in making operational changes based on forecasting, managing supply chains, and optimizing revenue, but the mass of available data can be overwhelming. This can sometimes be combated with the power of AI-driven data analysis tools, but existing solutions are usually designed to solve specific problems within specialized industries.
Fractal develops AI-driven tools and platforms for businesses, including a conversational AI platform called Senseforth, a revenue growth AI tool called Samya, AI algorithms for medical imaging named Qure, and an all-in-one data analytics platform called Crux Intelligence. The company develops its solutions to be flexible and applicable within a wide range of industries including consumer packaged goods, healthcare, financial services, and media.
Whilst AI-driven business tools are commonplace, Fractal has taken the smart approach of developing a suite of flexible AI tools that can tackle problems in many industries, as opposed to focusing on a specific problem or industry. This strategy has positioned the company well for continued growth and impact, reflecting its broad applicability and potential in the market.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2022
$360m
GROWTH EQUITY VC
Jan 2019
$200m
GROWTH EQUITY VC
Total funding: $685m
Company HQ
World Trade Center, New York, NY
Articles
Leadership
Pranay Agrawal
(Co-Founder, CEO & EVP of Global Client Development)Pranay co-founded Fractal in 2001, serving as EV of Global Client Development since then and CEO since 2016.
Srikanth Velamakanni
(Co-Founder, Group Chief Executive & Executive Vice Chairman)After co-founding Fractal, Srikanth served as the CEO until moving into the role of Group Chief Executive & Executive Vice Chairman. He is also a Vice Chairperson at nasscom, Non Executive Chairman at ideaForge and co-founder & Trustee at Plaksha University.
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