Offerte Lavoro "Data Scientist" 2026 | Euspert

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

Data Scientist – ML, GenAI & Agentic AI Education Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field Strong academic foundation in statistics, probability, and machine learning Core Experience 5–8 years of professional experience in Data Science, Machine Learning, or Applied AI Hands-on experience building, training, and deploying ML models in production environments Strong understanding of data preprocessing, feature engineering, and model evaluation Experience working on end-to-end ML workflows under guidance of senior/principal team members Ability to translate business and product requirements into data-driven solutions Machine Learning & MLOps Practical experience using Amazon SageMaker for: Model training and tuning Model deployment and inference Experience with common ML algorithms using scikit-learn, TensorFlow, or PyTorch Familiarity with MLOps concepts such as: Model versioning Experiment tracking Basic monitoring and retraining workflows Working knowledge of Docker and exposure to Kubernetes-based deployments Experience collaborating with ML engineers to operationalize models Generative AI & LLMs Hands-on experience developing LLM-powered applications using Amazon Bedrock or similar platforms Experience building or contributing to Retrieval-Augmented Generation (RAG) pipelines , including: Document ingestion and chunking Embedding generation <

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

Qualifications Job Description: Minimum 4+ years of Experience required Design, develop, and deploy advanced AI/ML models , including GenAI and Large Language Model (LLM)-based solutions Develop Retrieval-Augmented Generation (RAG) systems integrating LLMs with enterprise data sources Design and execute AI/ML test frameworks to validate model accuracy, robustness, bias, and performance Excellent analytical and problem-solving skills Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks Should be able to host the models and make them Api convertible. Good communication and presentation skills in order to explain your work to people who don‘t understand the mechanics behind data analysis Responsibilities: Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment. Build AI algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Bring about Explainable and Responsible AI. Conduct research from which you‘ll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models ac

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

InCommon is hiring on behalf of a fast-growing SF/Bangalore based Voice AI Startup. About the Role This is not a typical data role. You won't be building dashboards. You won't be maintaining pipelines no one touches. You will take messy, noisy, real-world data — and turn it into something models can learn from. Think of this as running a gold mine - you take dust and convert it to gold. We work on speech, language, and real-time systems across 50+ languages. The difference between a good model and a great one is almost always data quality + data systems. That's where you come in. What You'll Work On Data Pipelines (Real-time + Batch) Build high-throughput pipelines for audio, text, and multimodal data Streaming + offline processing at scale Data Quality & Curation Cleaning, filtering, deduplication, normalization (numbers, emails, code-mix, etc.) Designing heuristics + ML-based data filtering systems Multilingual Data Systems Handling 50+ languages, accents, and code-mixed inputs Language-aware normalization and segmentation Training Data Engine Build pipelines that continuously generate better training data from production Active learning loops, data selection, sampling strategies Evaluation & Benchmarking Pipelines Create scalable eval datasets across languages and domains Automate quality tracking for ASR, TTS, and conversational systems Data Infra for Research Work closely with research team to unblock experiments fast Build systems that reduce iteration time from weeks → hours What This Role Is NOT Not a dashboard/reporting role Not a "move data from A to B" role Not a maintenance-heavy legacy pipeline role What We're Looking For Strong fundamentals in data structures, systems, and pipelines Experience with large-scale data processing (audio/text preferred) Co

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

Role and Responsibilities · Design, develop, implement, and maintain AIML products to solve specific business problems · Optimize the existing codes using advanced programming skills · Execute AIML POC projects · Collaborate with various stake holders (Data engineers, Cloud Engineers, Bas) in the practice to deliver optimal outcomes · Work on various cloud platforms includes AWS, AZURE and GCP · Work on big-data tools (PySpark) · Design and develop ML pipelines includes feature engineering, model training & testing, model health monitoring and deployments · Create reports, projections, models, and presentations to support business strategy and tactics · Exercise independent judgment and decision making on complex issues regarding job duties and related tasks, and work under minimal supervision, use independent judgment requiring analysis of variable factors and determining the best course of action. Qualifications and Education Requirements · Master‘s Degree (Data Science/statistics/Mathematics/Computer Science) 5+ years of experience, or equivalent experience with a Bachelor’s degree · Proficiency in programming, preferably Python, R, and SQL (PostgreSQL MySQL/) and NoSQL (MongoDB) · Experience of Advanced programming in python/R/Spark includes developing multi-threading and Parallel Processing · Experience in designing, developing, implementing and deploying ML products · Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions · Demonstrated experience in AI Implementation and ML modeling problems of diverse scope and complexity · Experience in Supervised and Unsupervised ML models training, testing and Validations · Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting · Experience in creating reports, projections, models, an

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

Technology & Transformation – EAD – AI/ML – Data Science- Senior Consultant Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate, and Deloitte presents an opportunity to unleash and realize your potential amongst cutting-edge leaders and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, bring your whole self to work every day. Combine that with our drive to propel with purpose, and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The Team Deloitte’s Technology & Transformation practice helps uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information for fact-driven decision-making and generating insight-driven advantage . Our practice addresses opportunities across: Business intelligence & visualization Data management Performance management Next-generation analytics and technologies, including big data, cloud, cognitive, and machine learning Your Work Profile As a Senior Consultant in our T&T Team, you will build and nurture positive working relationships with teams and clients, exceeding client expectations. Key Expectations: Senior Consultant level Locations: Hyderabad | Pune | Bangalore | Mumbai | Delhi NCR Proficient in Python development and comfortable with both theory and hands-on implementation of ML

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

Role and Responsibilities · Design, develop, implement, and maintain AIML products to solve specific business problems · Optimize the existing codes using advanced programming skills · Execute AIML POC projects · Collaborate with various stake holders (Data engineers, Cloud Engineers, Bas) in the practice to deliver optimal outcomes · Work on various cloud platforms includes AWS, AZURE and GCP · Work on big-data tools (PySpark) · Design and develop ML pipelines includes feature engineering, model training & testing, model health monitoring and deployments · Create reports, projections, models, and presentations to support business strategy and tactics · Exercise independent judgment and decision making on complex issues regarding job duties and related tasks, and work under minimal supervision, use independent judgment requiring analysis of variable factors and determining the best course of action. Qualifications and Education Requirements · Master's Degree (Data Science/statistics/Mathematics/Computer Science) 5+ years of experience, or equivalent experience with a Bachelor’s degree · Proficiency in programming, preferably Python, R, and SQL (PostgreSQL MySQL/) and NoSQL (MongoDB) · Experience of Advanced programming in python/R/Spark includes developing multi-threading and Parallel Processing · Experience in designing, developing, implementing and deploying ML products · Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions · Demonstrated experience in AI Implementation and ML modeling problems of diverse scope and complexity · Experience in Supervised and Unsupervised ML models training, testing and Validations · Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting · Experience in creating reports, projectio

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

Job Description: Lead / Senior Machine Learning Engineer (Predictive Analytics) Location: Mumbai (On-site/Hybrid) Experience: 5 – 10 Years Notice Period: Immediate Joiners Preferred Domain: Financial Services (Banking, Insurance, or Asset Management) Role Overview As a Lead Machine Learning Engineer, you will bridge the gap between complex financial data and actionable business strategy. You won't just build models; you will design the predictive engines that power credit scoring, fraud detection, churn prediction, or portfolio optimization. We need a hands-on expert who understands the "why" behind the math and the "how" of production-grade deployment. Core Responsibilities · End-to-End ML Development: Lead the design, development, and deployment of predictive models (Regression, Time-series, Random Forests, XGBoost, etc.) tailored for FS use cases. · FS-Specific Analytics: Apply machine learning to solve domain-specific problems such as Credit Risk scoring, Customer Lifetime Value (CLV), Attrition Modeling, or Claims Propensity. · Feature Engineering: Architect robust feature pipelines from disparate financial sources (transactional logs, CRM data, market feeds). · Model Governance: Ensure all models meet FS regulatory standards, focusing on interpretability (SHAP/LIME) and bias mitigation. · Strategy & Mentorship: Guide junior data scientists and collaborate with stakeholders to translate business problems into technical roadmaps. · Productionalization: Work with MLOps to deploy models into high-availability environments, ensuring scalability and performance monitoring. Technical Requirements · Advanced Analytics: 5-10 years of experience in Predictive Analytics with a proven track record in the Financial Services sector. · Tech Stack: * Languages: Expert-level Python or R. o ML Frameworks: Scikit-learn, XGBoost, LightGBM, TensorFlo

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

Job Title: AI Engineer Job Description Key Responsibilities Team Leadership & Management Lead and manage a team of 5-10 AI engineers, ML engineers, and data scientists Conduct performance reviews, provide mentoring, and support career development Foster a collaborative culture focused on innovation and continuous learning Manage team workload distribution and resource allocation Technical Leadership Design and develop AI models and algorithms from scratch. Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction Provide technical guidance on AI architecture, model selection, and implementation strategies Review code, ensure best practices, and maintain high technical standards Drive technical decision-making for AI platform architecture and tooling Stay current with AI/ML trends and evaluate new technologies for adoption Project Management & Delivery Plan, execute, and deliver AI projects from conception to production deployment Coordinate cross-functional initiatives with product, engineering, and business teams Manage project timelines, budgets, and resource requirements Ensure AI solutions meet scalability, performance, and reliability standards Implement and maintain CI/CD pipelines for ML model deployment Strategic Planning & Innovation Develop AI engineering roadmaps aligned with business objectives Identify opportunities to leverage AI for business value and competitive advantage Establish engineering best practices, coding standards, and quality assurance processes Drive innovation initiatives and research into emerging AI technologies Contribute to AI strategy discussions with senior leadership Required Technical Skills AI/ML Expertise Python Strong background in machine learning algorithms, deep learning, and neural networks Experience with M

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

We are seeking a highly skilled Data Scientist with experience of 3-5 years to join our team and lead the development of advanced models that analyze user interaction patterns and measure behavioral dynamics over time. The ideal candidate will have experience working with large-scale interaction data, behavioral analytics, and machine learning for pattern recognition and anomaly detection. This role will focus on designing, developing, and deploying ML models that leverage user interaction data (typing speed, mouse movements, touch patterns, autofill behavior, and behavioral changes over time) to generate meaningful insights and risk scores for understanding user authenticity and identifying behavioral anomalies. Responsibilities Act as a thought partner in defining data science strategy and translating it into practical execution roadmaps. Drive experimentation, validation and optimization cycles that balance innovation with real-world reliability. Design robust data representations that capture temporal, interaction, and anomaly-based patterns. Implement scalable machine learning pipelines for real-time analysis and scoring of user sessions. Collaborate with engineering teams to integrate models into production environments. Conduct research and stay updated on state-of-the-art approaches in fraud detection, anomaly detection, and behavioral biometrics. Qualifications Must-Have: Strong background in Machine Learning, Deep Learning, and Statistical Modeling . Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on experience with time-series data, anomaly detection, or fraud detection . Strong feature engineering skills, especially with high-dimensional and noisy behavioral data. Knowledge of data processing frameworks

Data Scientist

Sun, 28 Jun 2026 00:00:00 GMT

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Work closely with business teams to identify, define, collect and track key business metrics and inform strategic decisions. 2+ years of experience Data Analytics 2. Take initiatives and implement analytics projects which have scope of incremental revenue / reducing cost/increased operational efficiency. 3. Tool and fetch data required to conduct business analysis, build and automate reports and dashboards to monitor business performance and generate business insights. 4. Collaborate with business leaders for requirement gathering and presenting data insights. Requirements: 1. Bachelor’s in engineering, Mathematics Or Statistics from a reputed Institute 2. Python/SAS/R with Basic Data modelling knowledge. 3. Basic SQL with ability to fetch, Transform data from tables. 4. Any Visualization tool experience(Tableau, PowerBi. .etc) is an added advantage. 5. Knowledge on Statistical Modelling.