Data Jobs

You will use data and analysis to identify and solve product development's biggest challenges. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights.

You will use data and analysis to identify and solve product development's biggest challenges. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights.

The ideal candidate will possess a strong background in data analytics/data science within financial services, strong stakeholder communication skills, and proven ability to transform data into actionable strategies. Hands-on experience in data analytics, and some exposure to data engineering.

[Applicants: Over 200 applicants | Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] Join Us!Take the next step in your journey at Inspira Financial. Check out this Inspira Financial video to learn more about our company!Inspira Financial provides health, wealth, retirement, and benefits solutions that strengthen and simplify the health and wealth journey.

This is a hands-on role involving large-scale industrial datasets and modern open-source tools to build forecasting, anomaly detection, predictive maintenance, generative, and agentic AI solutions. Key Responsibilities Translate manufacturing, quality, supply chain, and service challenges into clear ML and analytics problem statements Select appropriate modeling approaches (statistical, ML, deep learning) aligned with KPIs such as OEE, FTR, downtime, scrap, rework, and cost Analyze large datasets including time-series sensor data, quality inspection data, maintenance, and warranty data Develop: Demand forecasting models (Prophet, ARIMA) Propensity-to-buy models Anomaly detection and predictive maintenance solutions Experiment with Generative AI for: Synthetic data generation Private RAG systems Agentic AI workflows Build agentic AI solutions to automate and enhance operational processes Collaborate with AI Engineering and MLOps teams for production deployment Ensure model explainability, bias mitigation, monitoring, and performance validation Promote an innovation-driven culture through experimentation and knowledge sharing Required Skills & Experience 5+ years of experience as a Data Scientist Mandatory: Experience working in a new-age startup environment Strong hands-on expertise in: Regression, classification, clustering Time-series modeling Tree-based models and deep learning Experience with model monitoring, retraining strategies, and root cause analysis Strong exposure to Generative AI, including: Fine-tuning LLMs (e.g., Meta Llama) Synthetic data creation Agentic systems Demonstrated AI-led innovation mindset Ability to showcase code or projects (GitHub, notebooks, prototypes) Experience handling unstructured data (sensor lo...

With our historic growth, it is an exciting time to join our team of employee-owners.This opportunity entails working under close supervision to assist departments by performing basic assignments in the areas of data science, GIS, planning, and technology, with a focus on transportation and infrastructure asset data. This position is typically on a temporary, intern, or co-op basis.Relocation and housing are not provided for this position.Expected Tasks And Duties Of This Role IncludeAssist project team members with data, GIS, and analytics support tasks across planning, technology, and infrastructure projects.Conduct basic research and data collection related to transportation assets and mobility systems.Assist with compiling and maintaining asset inventories, including roads, bridges, transit stops, facilities, and signals.Help clean, standardize, and organize asset attributes such as age, condition, location, ownership, and classification.Support consistency checks between spreadsheets, GIS layers, databases, and technical reports to improve data quality and usability.Assist in the development of GIS-based maps, graphics, presentation materials, and reports to support planning and technical deliverables.Maintain organized project data files, records, and documentation in accordance with project standards.What You’ll DoAssists project team members with various support tasks.Conducts basic research and data collection.Maintains records, collections and files related to specific projects.Assist in the development of graphics, presentation materials and reports.Performs other duties assigned.What You’ll NeedEnrolled in a related undergraduate or graduate programWhat We PreferExperience working with transportation or infrastructure-related datasets.Familiarity with asset inventories, tabular-to-spatial data workflows, or GIS attribute management.Exposure to data visualization, mapping, or basic analytics through coursework or internships.Basic GIS experience, including coursework or hands-on experience using GIS software (e.g., ArcGIS, QG...

Data Science Product Specialist (12 months contract) Location Hong Kong Business Area Product Ref # 10049034 Description & Requirements What is Enterprise Data? Bloomberg's Enterprise Data Department Develops Data Offerings That Are Considered Best In Class By The Financial Markets Community.

The role involves designing and implementing data architectures, developing efficient data models, overseeing Extract, Transform, Load (ETL) processes, and creating optimized data warehousing systems. Qualifications Strong expertise in Data Modeling and Database Design Proficiency in Data Architecture and Data Warehousing Experience in implementing and optimizing Extract, Transform, Load (ETL) processes Ability to work independently in a remote environment Strong analytical thinking and problem-solving skills Knowledge of data visualization tools or cloud platforms is a plus Bachelor’s degree in Computer Science, Information Technology, or a related field Show less [{"type":"people_also_viewed","href":"https://sg..com/jobs/view/data-architect-apac-at-zurich-insurance-4367202467","jobId":"4367202467","label":"Data Architect, APAC"}]

Le persone sono il cuore pulsante della nostra azienda; il loro benessere, la loro crescita e il loro sviluppo sono la nostra priorità. Se sei pronto a far parte di una squadra che valorizza il talento, incoraggia la crescita personale e professionale e lavora in prima linea nel settore della digital transformation, JUMPIT è il posto giusto per te.Posizione Aperta: Data ScienceSede: Remoto - presenza su Piemonte e LombardiaDescrizione del Ruolo: il candidato ideale deve avere esperienza in contesti strutturati e complessi, preferibilmente nel settore cybersecurity o in ambienti regolamentati.ResponsabilitàAnalizzare i requisiti di Business traducendoli in soluzioni funzionali e analitiche coerentiSupportare decisioni strategiche attraverso analisi dati e modellazione dei processiProgettare e ottimizzare processi coinvolgendo gli stakeholder chiaveGarantire una visione end-to-end dei sistemi e delle architetture coinvolteCreare diagrammi di flusso, documentazione funzionale e tecnicaCollaborare con team tecnici (developer, architect, data engineer) e funzioni di BusinessContribuire al miglioramento continuo degli strumenti e degli asset di processoRequisitiSolido background tecnico in ambito ITEsperienza pregressa come Developer e/o Architect (fortemente desiderata)Esperienza nella raccolta e analisi dei requisiti di BusinessCapacità di modellazione e disegno dei proces...

Job Responsibilities: Support data classification and taxonomy methods and standards, understand business, cooperate with data team. Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database.

About Lantern Lantern is the specialty care platform connecting people with the best care when they need it most. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work.