Photon
Global AI and digital solutions provider
AI/ML Data Scientist
On-site role; US-based.
About the job
- Bachelor’s or master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.
- 3+ years of professional experience in data science, machine learning, predictive analytics, or a closely related field.
- Strong understanding of statistical analysis, probability, experimental design, and machine learning fundamentals.
- Demonstrated experience building predictive models from raw data through final evaluation.
- Deep practical expertise in regression and classification algorithms, including: Linear and polynomial regression; Logistic regression; Regularization methods such as Ridge, Lasso, and Elastic Net; Decision trees; Random forests; Gradient boosting methods; Support vector machines; k-nearest neighbors; Naive Bayes; Ensemble modeling techniques; CNN; Computervision; RNN; NLP.
- Strong knowledge of supervised learning workflows, including data splitting, cross-validation, feature selection, feature engineering, model tuning, and evaluation.
- Proficiency in Python and common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and matplotlib or Seaborn.
- Strong SQL skills and experience querying, joining, aggregating, and analyzing data from relational databases.
- Experience working with missing data, outliers, imbalanced classes, categorical variables, high-cardinality features, and data leakage risks.
- Ability to select and justify appropriate evaluation metrics based on business objectives and model use cases.
- Experience explaining model behavior using techniques such as feature importance, partial dependence, SHAP, coefficients, permutation importance, or related methods.
- Excellent written and verbal communication skills.
- Ability to present complex analytical concepts clearly to audiences with varying levels of technical expertise.
- Translate business problems into well-defined machine learning and predictive modeling objectives.
- Collect, clean, transform, and analyze structured and unstructured data from multiple sources.
- Perform exploratory data analysis to identify trends, relationships, anomalies, biases, and data-quality issues.
- Develop predictive models from scratch, including data preparation, feature engineering, training, validation, testing, and optimization.
- Build and apply regression models for forecasting, estimation, risk scoring, pricing, demand prediction, and related use cases.
- Build and apply classification models for segmentation, fraud detection, churn prediction, recommendation, anomaly detection, and other decision-support applications.
- Select appropriate algorithms based on the problem type, data characteristics, business requirements, interpretability needs, and operational constraints.
- Compare baseline, linear, tree-based, ensemble, and other appropriate modeling approaches.
- Tune model hyperparameters and use appropriate cross-validation strategies to improve generalization.
- Experience building and deploying AI solutions using NLP, Computer Vision, and sequence modeling techniques for text, image, video, and time-series data.
- Strong knowledge of deep learning architectures including RNNs, LSTMs, GRUs, CNNs, and Transformer-based models, with hands-on experience using TensorFlow or PyTorch.
- Ability to evaluate, optimize, and explain AI model performance, including model accuracy, robustness, bias detection, feature interpretation, and production monitoring.
- Evaluate model performance using metrics such as RMSE, MAE, R², accuracy, precision, recall, F1 score, ROC-AUC, PR-AUC, log loss, calibration, and lift.
- Analyze model errors and identify opportunities for improving data quality, features, sampling strategies, and model assumptions.
- Assess model robustness, explainability, fairness, stability, and sensitivity to changing data patterns.
- Clearly communicate the rationale behind model selection, including why a particular model was chosen over alternatives.
- Explain technical results, assumptions, limitations, and trade-offs to product managers, business leaders, and other stakeholders.
- Document analytical methods, data sources, assumptions, experiments, model decisions, and results.
- Collaborate with data engineers, software engineers, product teams, domain experts, and business stakeholders to operationalize models.
- Support model deployment, monitoring, retraining, and continuous improvement in production environments.
- Stay current with developments in machine learning, statistical modeling, AI techniques, and responsible AI practices.
- Experience deploying machine learning models through APIs, batch pipelines, or cloud-based platforms.
- Familiarity with MLflow, Kubeflow, Airflow, Docker, Git, CI/CD, or similar tools.
- Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
- Knowledge of time-series forecasting, survival analysis, recommender systems, or anomaly detection.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Familiarity with model monitoring, data drift, concept drift, model retraining, and performance degradation.
- Experience working with distributed data-processing tools such as Spark.
- Knowledge of responsible AI, model governance, fairness, privacy, and regulatory requirements.
- Experience working in an Agile or cross-functional product development environment.
About the company
Photon helps large enterprises accelerate AI adoption and digital growth. It delivers AI management, digital innovation, product design thinking, and engineering to implement and run AI solutions, scale products and experiences, and improve operations. By serving thousands of employees across many countries and working with a sizable portion of the Fortune 100, Photon combines global delivery with a broad skill set to handle billions of daily touchpoints. Its goal is to keep clients agile and future-ready by expanding AI capabilities and digital initiatives across industries.
Company Size
N/A
Company Stage
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Total Funding
N/A
Headquarters
London, United Kingdom
Founded
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Simplify's Take
What believers are saying
- Photon raised $16 million Series A on April 30, 2026, led by Healthier Capital.
- Photon's site says it helps clinicians route prescriptions with real-time pricing and no surprises.
- Photon's February 2026 FDB Vela deal expands national pharmacy connectivity and routing automation.
What critics are saying
- Surescripts still owns e-prescribing rails, and Photon challenges that entrenched workflow monopoly.
- Photon depends on Amazon Pharmacy, FDB, and health systems for coverage; partner terms control growth.
- If prescribers stop switching workflows, Photon becomes a thin referral layer.
What makes Photon unique
- Photon Health routes prescriptions before send-time, letting patients compare price, stock, and delivery.
- Amazon Pharmacy integration launched April 2025, and FDB Vela integration shipped February 2026.
- Photon handled over 1 million prescriptions and serves virtual clinics like Sesame and WeightWatchers.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Paid Vacation
Paid Holidays
Performance Bonus
Company News
Photon achieves CyberVadis Platinum Rating, reinforcing enterprise trust through independent cybersecurity validation. Sep 01, 2026, 10:00 ET Independent assessment score of 987 out of 1,000 validates the maturity of Photon's cybersecurity governance, operational resilience, and enterprise security program PARIS, Sept. 1, 2026 /PRNewswire/ - As enterprises accelerate investments in artificial intelligence, cloud modernization, and digital transformation, cybersecurity has become a defining measure of enterprise trust. Organizations increasingly expect technology partners to demonstrate mature security governance supported by independent validation - not simply technical capability. Against this backdrop, Photon today announced that it has achieved the CyberVadis Platinum Rating, receiving an exceptional 987 out of 1,000 in the 2026 CyberVadis cybersecurity assessment. The Platinum Rating - the highest recognition level within the CyberVadis assessment framework - provides independent, evidence-based validation of the organization's cybersecurity maturity, recognizing the strength of its governance, operational controls, risk management practices, and continuous improvement program. For organizations across banking, financial services, insurance, healthcare, retail, manufacturing, and other highly regulated industries, cybersecurity is no longer simply about protecting technology. It is fundamental to business resilience, responsible AI adoption, regulatory confidence, and sustainable digital transformation. "Trust is the foundation of every transformation we deliver," said Srinivas Balasubramanian, Co-Founder, Chairman and Chief Executive Officer of Photon. "Our clients rely on Photon to modernize mission-critical platforms, engineer AI-powered experiences, and operate secure digital ecosystems at enterprise scale. Achieving the CyberVadis Platinum Rating with a score of 987 provides independent validation of the governance, operational discipline, and security culture that underpin every engagement. As AI reshapes the enterprise, we will continue investing in the cybersecurity capabilities that enable our clients to innovate with confidence." Photon's 2026 result builds on an already exceptional prior assessment, when the company achieved a CyberVadis score of 953 out of 1,000, placing it among the top 1% of companies worldwide. Improving to 987 out of 1,000 makes this year's result especially significant, demonstrating year-over-year progress from an already industry-leading position and reinforcing Photon's standing among the top tier of global cybersecurity maturity. Independent Validation of Enterprise Cybersecurity Maturity CyberVadis provides evidence-based third-party cybersecurity assessments supported by independent cybersecurity analyst review. Rather than evaluating individual technologies or products, its methodology measures how effectively organizations establish, implement, monitor, and continuously improve enterprise cybersecurity programs through documented governance, operational controls, technical safeguards, and measurable execution. The assessment evaluates organizations across four foundational cybersecurity functions: * Identify: Governance, asset management, cybersecurity strategy, enterprise risk, regulatory compliance, and third-party oversight. * Protect: Identity and access management, infrastructure security, data protection, employee awareness, and preventive controls. * Detect: Security monitoring, vulnerability management, threat detection, and continuous visibility. * React: Incident response, recovery planning, crisis management, business continuity, and continuous improvement. Photon's assessment score of 987 out of 1,000 reflects a highly mature cybersecurity operating environment supported by disciplined governance, comprehensive security controls, and consistently executed operational practices. Security Embedded Into Every Transformation At Photon, security is not a standalone capability - it is embedded into every transformation program the company delivers. Across AI, cloud, digital commerce, customer experience, software engineering, and enterprise modernization, Photon integrates cybersecurity into strategy, architecture, engineering, deployment, and operations, enabling organizations to accelerate innovation while maintaining the governance, resilience, and operational control required for enterprise-scale transformation. Photon's enterprise cybersecurity capabilities include: * Application Security * Identity and Access Management * Governance, Risk and Compliance * Cloud Security * Threat Management * Endpoint Security * Security Operations and Monitoring * Infrastructure Security * Incident Response * Business Continuity and Operational Resilience For enterprise clients, the CyberVadis assessment provides an independent benchmark that supports supplier due diligence, third-party risk management, procurement evaluations, and governance discussions while complementing each organization's own cybersecurity assessment processes. Building the Trusted Foundation for AI Artificial intelligence is fundamentally changing enterprise risk. As organizations deploy intelligent agents, automate decision-making, and expand cloud-native operations, cybersecurity must extend beyond perimeter protection to encompass governance, identity, data protection, observability, model integrity, and operational accountability. Photon believes trust is the foundation of every transformation it delivers. By embedding security, governance, and operational resilience into every engagement, Photon helps organizations accelerate AI adoption while maintaining the transparency, control, and confidence required for enterprise-scale deployment. The CyberVadis Platinum Rating reinforces Photon's ongoing commitment to continuously strengthening the security capabilities, governance practices, and operational excellence that enable clients to transform with confidence. About CyberVadis CyberVadis provides evidence-based third-party cybersecurity assessments through a cloud-based platform supported by independent cybersecurity analyst review. Organizations worldwide use CyberVadis assessments to evaluate supplier cybersecurity maturity, strengthen third-party risk management, and improve transparency across global digital ecosystems. Its methodology produces an overall cybersecurity maturity score ranging from 0 to 1,000 together with detailed evaluations across the four core cybersecurity functions of Identify, Protect, Detect, and React. About Photon Photon is an outcome-driven AI and digital transformation company with more than 8,500 engineers serving over 40% of the Fortune 100 across Banking, Financial Services, Retail, Consumer Products, Healthcare, Automotive, and other industries. For more than 25 years, Photon has partnered with the world's leading enterprises to modernize customer experiences, engineer intelligent platforms, and accelerate business transformation through AI, data, cloud, software engineering, cybersecurity, and digital operations. Combining strategic advisory, deep engineering expertise, and enterprise-scale delivery, Photon helps organizations move from AI ambition to production with speed, security, and measurable business outcomes. With delivery centers across North America, Europe, and Asia, Photon delivers the governance, engineering discipline, and operational excellence required to build the next generation of intelligent enterprises. SOURCE Photon
Exein unveils next-generation runtime security to protect the ai-native world. * Photon blocks cyberattacks before execution across physical AI and IoT, autonomous AI agents and cloud and edge infrastructure * Kernel-level prevention sets a new standard beyond traditional user-space detection * Builds on Exein's position as the world's largest runtime security provider, protecting over two billion devices Mar 23, 2026 Prev Next 1 of 42,872 Exein, the global leader in runtime cybersecurity, unveiled Photon, a preemptive breakthrough solution that blocks cyberattacks at the point of execution. Designed for the AI-native world - where digital and physical systems are now inseparable - Photon marks a fundamental shift in how critical infrastructure protects itself. Unlike traditional cybersecurity solutions that detect threats after compromise - typically operating in user space and relying on a cloud network - Exein's Photon operates directly inside the kernel, preventing malicious execution paths before they can run. By blocking attacks before the point of execution, the technology dramatically reduces latency and eliminates entire classes of threats before damage occurs. If malicious instructions cannot execute, the attack itself cannot take place. This advancement establishes a new category of runtime security designed for systems that cannot be disconnected: physical AI and IoT environments, autonomous AI agents, and local hybrid cloud and edge infrastructure. In these environments, from industrial robotics and critical infrastructure to AI-driven platforms, downtime is not an option, and protection must be more precise and granular, blocking malicious threats without shutting down the entire process. The announcement at the RSA Conference (RSAC) comes as cyber threats increasingly target physical systems. Last month, the Munich Security Report 2026 warned that cyber operations are now engineered to cause real-world disruption, accelerating regulatory intervention after voluntary measures failed to address systemic vulnerabilities. At the same time, the speed of attacks is accelerating dramatically: recent threat intelligence shows average attacker 'breakout times' fell to just 29 minutes in 2025, 65% faster than the previous year, driven in part by AI-assisted automation. Protecting the digital and physical in the AI era Artificial intelligence is already capable of identifying vulnerabilities in software and infrastructure. In the near future, these models will not only detect weaknesses but exploit them autonomously to launch attacks at machine speed. As the scale and sophistication of these attacks grow, traditional runtime security systems that rely on detection alone will no longer be sufficient. Photon introduces a new model of preemptive runtime security designed for this AI-driven environment. Rather than detecting attacks after they begin, it prevents malicious execution paths from running in the first place, blocking threats in real time before they can impact the system. Unlike conventional security tools that operate in user space alongside the applications they protect, Photon operates directly within the kernel, the core of the operating system. By enforcing protection at this foundational layer, rather than merely detecting and stopping attacks, it prevents them from executing in the first place - all in real time. This marks a major milestone as physical and digital systems converge, positioning Photon as a new reference architecture for securing physical AI, agent AI and cloud and hybrid infrastructure. Gianni Cuozzo, Founder and CEO of Exein, said: "In a future where the world is infinitely connected with humanoid robots walking among Aithority, local LLMs powering intelligent edges, autonomous drones reshaping mobility, and billions of new autonomous systems bridging the digital and physical realms, preemptive runtime security represents the new generation of protection, built into the very DNA of every device from the ground up. "Exein was born to make this vision a reality: transforming every connected device into a fortress of security, forging the largest decentralised immune system for digital life - cross-vendor, cross-platform, and cross-system. We stand as the first line of defence between the boundless digital world and the physical one we live in, empowering manufacturers to build inherently safe innovations and already safeguarding over 2 billion devices worldwide."