At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions.RoleAs a Senior Associate, Data Scientist, you will work alongside experienced data scientists and ML engineers to design, develop, and apply data-driven models and analyses that deliver measurable business value. Reporting to the Executive Director of AI Science, you will gain hands‑on experience working on impactful projects across the enterprise, applying advanced analytics and machine learning to areas such as financial services, insurance, and operations optimization.ResponsibilitiesContribute to the development of predictive and statistical models addressing business‑critical challenges across diverse domains.Conduct exploratory data analysis, feature engineering, and hypothesis testing to uncover patterns and support model development.Collaborate with senior data scientists and ML engineers to refine models, improve accuracy, and enhance interpretability.Support the design and evaluation of experiments and A/B tests, ensuring rigorous measurement of impact.Clean, transform, and prepare data from diverse sources, ensuring high‑quality datasets for analysis.Build dashboards, reports, and visualizations that communicate insights clearly to technical and non‑technical stakeholders.Stay current with emerging data science methods and tools (e.g., generative AI, LLMs, causal inference) and apply them through prototyping.Contribute to the team’s knowledge base by documenting workflows and sharing best practices.Requirements5+ years of experience applying data science or advanced analytics in a professional setting.Solid understanding of statistical modeling, machine learning fundamentals, and experimental design.Experience with predictive modeling techniques such as regression, classification, clustering, or time‑series forecasting.Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit‑learn, XGBoost, PyTorch, TensorFlow).Strong experience with SQL and data manipulation across large datasets.Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI).Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus.Excellent problem‑solving skills, eagerness to learn, and ability to work in fast‑paced, evolving environments.Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations.Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline.Hands‑on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments.PhD in Data Science, Statistics, Computer Science, or a related quantitative field.Publications in top data science / ML conferences or journals (e.g., NeurIPS, ICML, KDD, ACL, or similar).Open‑source contributions to the data science or ML community (libraries, notebooks, packages, or tutorials).Experience presenting research or applied work at meetups, workshops, or industry conferences.Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM application frameworks.Cloud or AI/ML certifications (e.g., AWS Machine Learning Specialty, Google Professional Data Engineer, Azure AI Engineer) are a plus.BenefitsWork at the forefront of AI/ML innovation in life insurance, annuities, and financial services.Drive AI transformation for some of the most sophisticated financial entities.Competitive compensation, benefits, future equity options, and leadership opportunities.This is a hybrid position based in the United Kingdom.We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.ApplyIf you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move. #J-18808-Ljbffr