James Search Group

About the Company

James Search Group (JSG) is a Recruitment Consultancy founded on 20 years of recruiting experience, specialising in Legal Services, Financial Services and Technology recruiting. At JSG, we place our word and moral integrity as paramount, having founded the company on our recruitment trinity, three basic yet vital pillars, integrity, honesty... and trust! Integrity - We have a strict ethical code here at JSG, we say what we think and we do what we say, with free consultation and honest advice. When faced with the choice of doing what is convenient and what is right, we will do what is right, even when nobody is watching, this is our promise to you. Honesty - We truly believe that honesty is the cornerstone of success. We vow to always give honest feedback to our candidates, honest consultation to our clients, and honest service no matter what. We believe honesty is our best asset and the foundation of our third pillar... trust! Trust - At JSG, your trust is our priority. You can trust us to listen, you can trust us to deliver, you can trust us to make it happen. Over and above these, you can trust us to be generous, you can trust us to be grateful, you can trust us to be kind. James Search Group.... Values you can trust!

Listed Jobs

Company Name

James Search Group

Job Title

Machine Learning Engineer

Job Description

Job Title: Machine Learning Engineer Role Summary Develop, refine, and deploy AI/ML models to enhance underwriting, claims, and customer engagement for a global P&C insurance carrier. Collaborate across data, business, and IT to translate analytical insights into scalable, impactful solutions. Expectations - Build and tune classification, forecasting, uplift, and propensity models. - Apply advanced analytics techniques such as decision trees, logistic regression, neural networks, and random forests. - Work with both structured and unstructured data. - Deliver clear, actionable insights to stakeholders of varying technical expertise. Key Responsibilities - Design, train, and validate predictive models for business use cases. - Integrate models into production pipelines and monitor performance. - Identify opportunities where data science can improve operational efficiency and business outcomes. - Collaborate with business, IT, and strategy teams to align model development with organizational goals. - Communicate findings and model performance to non‑technical stakeholders. Required Skills - Proficiency in R or Python for analytics and model development. - Experience managing large, complex datasets and end‑to‑end data modeling. - Strong written and verbal communication skills. - Ability to translate technical results into business strategy. Required Education & Certifications - Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative discipline (Ph.D. preferred).

New york, United states

Hybrid

Junior

10-09-2025

Company Name

James Search Group

Job Title

Senior Machine Learning Engineer

Job Description

Job Title: Senior Machine Learning Engineer Role Summary: Senior AI/ML Engineer role focuses on developing and deploying machine learning solutions to enhance decision-making and profitability in a global property and casualty insurance organization. Expectations: Identify AI use cases across underwriting, claims, risk evaluation, and customer experience. Collaborate with stakeholders to deliver scalable solutions and simplify technical outputs for non-technical audiences. Stay current with AI/ML trends and integrate advanced tools to enhance organizational data capabilities. Key Responsibilities: - Develop and deploy end-to-end machine learning models for classification, forecasting, uplift modeling, and foundational system fine-tuning. - Identify and implement AI applications in insurance domains such as underwriting, claims, and risk evaluation. - Collaborate with technical and business stakeholders to translate AI/ML insights into actionable strategies. - Deploy models in cloud environments and optimize large structured/unstructured datasets for integration. - Communicate complex technical concepts into clear business recommendations. Required Skills: - Proficiency in Python and SQL; experience with data science libraries (e.g., TensorFlow, scikit-learn). - Expertise in regression, decision trees, neural networks, and ensemble methods. - Experience with large language models (LLMs) and foundational AI systems. - Cloud environment experience (AWS, Azure). - Strong analytical and communication skills to interpret data and explain technical findings. Required Education & Certifications: - Master’s in Computer Science, Data Science, Mathematics, Statistics, Operations Research, or related field. - Minimum 5 years of data science/ML experience; 2+ years with LLMs/foundational AI systems.

New york, United states

Hybrid

Senior

10-09-2025