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LTIMindtree

<div>
 
 
 Job Title: Data Scientist &ndash; AI/ML/DL
 
 
 
 
 
 
 
 
 
 
 Location:
 
 PAN India
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML/DL models for real-world applications.
 </li>
 <li>
 Work on Generative AI solutions and multi-modal language models.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver scalable AI solutions.
 </li>
 <li>
 Optimize models for performance and accuracy across platforms.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Experience:
 
 3&ndash;6 years in Data Science and AI/ML/DL domain.
 </li>
 <li>
 Hands-on experience in
 
 Generative AI
 
 and
 
 Deep Learning
 
 .
 </li>
 <li>
 Strong programming skills in
 
 
 Python
 
 
 
 and familiarity with
 
 
 
 Linux/Windows
 
 
 
 environments.
 
 </li>
 <li>
 
 
 Proficiency with data science toolkits:
 
 
 
 TensorFlow
 
 ,
 
 Keras
 
 ,
 
 PyTorch
 
 ,
 
 Pandas
 
 ,
 
 NumPy
 
 , etc.
 </li>
 <li>
 
 
 Understanding of AI tool stack:
 
 NeMo Framework
 
 ,
 
 NIMs
 
 .
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 Preferably NVIDIA Certified Associate on GenAI.
 </li>
 <li>
 
 
 Exposure to GenAI frameworks:
 
 
 LangChain, LlamaIndex, LangGraph, CrewAI, Nemo Agent Toolkit (NAT).
 </li>
 <li>
 
 
 Knowledge of DL/GenAI algorithms:
 
 Transformers
 
 ,
 
 CNN
 
 ,
 
 RNN
 
 , etc.
 </li>
 <li>
 Experience with
 
 NLP
 
 ,
 
 Large Language Models
 
 , and multi-modal models like GPT, LLaMa, Mistral, Qwen, Nemotron.
 </li>
 <li>
 Familiarity with
 
 Cloud platforms
 
 : Azure, AWS, or GCP.
 </li>
 <li>
 Experience with
 
 Git
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on cutting-edge AI/ML projects.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Flexible location across PAN India.
 </li>
 </ul>
 
 
 
</div>

Data Scientist – AI/ML/DL

Alaan الآن

<div>
 
 
 About Alaan
 
 
 
 Alaan is the SuperCard&trade; for businesses and the most loved fintech in the Middle East. Our mission is to simplify finance for businesses so they can save time and money.
 
 
 Alaan provides everything businesses need to manage and control expenses, including the SuperCard&trade;, AI-powered automation and insights, streamlined accounting, and centralized dashboards, all in one place.
 
 
 
 
 
 Over 1500 businesses in the UAE and KSA, from startups to enterprises, use Alaan to control spending and save costs.
 
 
 
 
 
 Backed by Y Combinator and top global investors- including founders and executives of leading startups - Alaan is built by a world-class team from McKinsey, BCG, Goldman Sachs, Barclays, Zomato, Careem, Rippling, and other high-growth companies.
 
 
 
 
 
 We&rsquo;re not just building software. We&rsquo;re reimagining how finance works for modern businesses across the region.
 
 
 
 
 
 
 About the role
 
 
 
 At Alaan, we&rsquo;re building the modern financial stack for businesses across MENA&mdash;empowering companies to manage cards, payments, and expenses with intelligence and automation. A key part of this vision is our ML-powered product features, which drive smarter decisions, faster processes, and better customer experiences.
 
 
 
 
 
 We&rsquo;re looking for a strategic, senior-level Data Scientist to own the entire lifecycle of our machine learning features - from concept to production - and to act as the bridge between data science, engineering, and product. This is not just a modeling role - you&rsquo;ll be setting the vision, defining the strategy, and ensuring that every AI-driven feature in our product is impactful, robust, and continuously improving.
 
 
 
 
 
 If you&rsquo;re excited by the idea of taking a feature from 80% to 90%+ accuracy, love working cross-functionally, and want to lead high-impact AI initiatives in fintech, this is the role for you.
 
 
 
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Define the Data Science Strategy: Translate product goals into clear, testable data science problems and technical requirements. Own the &ldquo;what&rdquo; and the &ldquo;why&rdquo; for ML initiatives.
 </li>
 <li>
 Oversee the Modeling Lifecycle: Lead the team through Proof-of-Concepts (POCs), benchmarking, and productionization. Provide expert feedback on model selection, feature engineering, and validation.
 </li>
 <li>
 Set Success Criteria: Define robust metrics, benchmarks, and offline/online evaluation methods to measure success across the lifecycle.
 </li>
 <li>
 Drive Iterative Improvement: Monitor in-production performance, run A/B tests, and formulate experiments to push accuracy, efficiency, and user impact to the next level.
 </li>
 <li>
 Ensure Technical Excellence: Act as the quality gatekeeper&mdash;ensuring models are well-architected, scalable, and production-ready before deployment.
 </li>
 <li>
 Lead Cross-Functional Delivery: Collaborate with Data Scientists, ML Engineers, Analysts, and Backend Engineers to ensure seamless execution and alignment with business goals.
 </li>
 </ul>
 
 
 
 
 
 What we are looking for
 
 
 <ul>
 <li>
 5+ years of experience in data science, with a proven record of delivering ML features to production.
 </li>
 <li>
 Deep ML expertise and strong grasp of the entire ML lifecycle - model design, training, validation, deployment, monitoring, and iteration.
 </li>
 <li>
 Strategic thinking ability to connect business needs to data science solutions, and prioritize based on impact.
 </li>
 <li>
 Leadership &amp; mentorship experience of guiding teams, providing constructive technical feedback, and raising the quality bar.
 </li>
 <li>
 Communication ability to explain complex technical topics clearly to both technical and non-technical audiences.
 </li>
 <li>
 Lifecycle mastery and first-hand experience taking models from concept to production, troubleshooting failures, and leading improvements.
 </li>
 <li>
 Prior experience as a Tech Lead or Principal Data Scientist.
 </li>
 <li>
 Expertise in MLOps tools and best practices.
 </li>
 <li>
 Fintech domain experience.
 </li>
 </ul>
 
 
 
 
 
 
 ﻿
 
 What's in it for you
 
 
 <ul>
 <li>
 Contribute to building the Middle East&rsquo;s most beloved fintech brand from the ground up
 </li>
 <li>
 Benefit from a role with significant ownership and accountability
 </li>
 <li>
 Thrive in a flexible hybrid culture with ample work-life balance
 </li>
 <li>
 Participate in exciting offsite events
 </li>
 <li>
 Competitive salary and equity
 </li>
 <li>
 Enjoy additional perks like travel allowances, gym memberships, and more
 </li>
 </ul>
 
 
 
</div>

Data Scientist

Microsoft

<div>
 
 Overview
 
 
 
 
 Microsoft Research India (MSR
 
 
 India)
 
 is a leading research lab advancing innovation across the research areas like Artificial Intelligence &amp; Machine Learning, Theory, Technology &amp; Empowerment and Systems. Established two decades ago, the lab has been at the forefront of computer science research in India and has been home to world class talent and projects.
 
 
 We are seeking to hire research engineers at Microsoft Research India. We are looking for exceptional candidates with a demonstrated track record in AI/ML, including new models, scalable ML architectures, systems support for such workloads, and innovative large-scale applications of ML models. Projects in the lab are inter-disciplinary and span across research areas such as artificial intelligence, machine learning, natural language processing, information retrieval, systems, theory, and related areas.
 
 
 Interested candidates should apply on the link above.
 
 
 
 Responsibilities
 
 
 
 We are looking for engineers with strong coding and engineering skills. The candidate should be comfortable dealing with open problems, new technologies and changing requirements, and should play different roles in the project as the need arises. The candidate will be working closely with researchers, engineers and internal/external partners and take ownership of meeting project goals through building quality solutions. This also provides a great opportunity to receive mentoring as well as to mentor and lead interns and other team members.
 
 
 
 Qualifications
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. degree in Computer Science or related disciplines.
 </li>
 <li>
 Strong programming and communication skills, and ability to drive end-to-end research and development&mdash;from ideation to deployment.
 </li>
 <li>
 Minimum 5 years of industry work experience with proven track record of innovation and delivering impactful solutions.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Good understanding of deep learning, LLMs, and large-scale ML systems.
 </li>
 <li>
 Proficiency in Python, PyTorch, and familiarity with CUDA, cutting-edge agentic frameworks, etc.
 </li>
 <li>
 Experience in data preparation, pre-training, post-training, and evaluation for ML models.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Research Software Development Engineer

Trusting Social Career Page

<div>
 We are an AI Fintech company specializing in assessing credit profiles of consumers in emerging markets combining pioneering AI with large alternative data sources. In 2020 we reached our ambitious milestone of credit profiling 1bn consumers spanning 4 countries - Vietnam, Indonesia, India &amp; the Philippines - and building a platform for the wider industry and the financial services industry, in particular, to provide the 'un &amp; under' served access to credit. At the core of this initiative has been our strict and unwavering adherence to the norms of consumer data privacy and consumer data rights.
 
 
 But we're not satisfied as we embark on the next leg of our journey to deliver 100 million credit lines to consumers in our markets. Although this goal is ambitious, we truly believe that by harnessing the power of AI &amp; Big Data we can deliver financial access at an unprecedented scale.
 
 
 As a firm, we're audacious problem solvers motivated by our impact on society. We deeply espouse the values of ownership - of our actions and initiatives, integrity in all we do, and agility in execution.
 
 
 We place great importance on doing what is right, what is best, and what is innovative. And we seek people to champion these values and beliefs as we grow.
 
 
 We are seeking a Lead Data Scientist to lead the design, development, and deployment of machine learning systems that power critical FinTech workflows such as credit decisioning, fraud prevention, and intelligent document processing. This role requires deep hands-on expertise across ML modeling, OCR, NLP, and Large Language Models (LLMs), along with the ability to make sound technical decisions and mentor junior team members.
 
 
 You will work at the intersection of data science, engineering, and business, owning end-to-end model development and ensuring solutions are scalable, explainable, and production-ready.
 
 
 Come join our team if you are smart, driven, and want to make a difference in the world with the most advanced and fascinating technology. We can satisfy your desire to explore new territory and give you the runway to make big impacts.
 
 
 What you will do
 
 
 Key responsibilities include:
 
 
 <ul>
 <li>
 Own end-to-end ML solutions: problem framing, data exploration, modeling, validation, deployment, and monitoring.
 </li>
 <li>
 Make architectural and modeling decisions balancing accuracy, latency, scalability, and regulatory constraints.
 </li>
 <li>
 Review model designs and code, setting best practices for the data science team.
 </li>
 <li>
 Design and deploy advanced ML models for FinTech use cases such as credit risk, fraud detection, and behavioral analytics.
 </li>
 <li>
 Lead feature engineering, model optimization, and rigorous offline/online evaluation.
 </li>
 <li>
 Ensure models are interpretable, fair, and compliant, with clear documentation for internal and external stakeholders.
 </li>
 <li>
 Lead development of document intelligence systems, including OCR, layout analysis, document classification, and entity extraction.
 </li>
 <li>
 Architect and implement NLP and LLM-based solutions for document understanding, semantic search, and automation.
 </li>
 <li>
 Partner closely with engineering to productionize models in real-time and batch systems.
 </li>
 <li>
 Design monitoring for model performance, drift, bias, and data quality.
 </li>
 <li>
 Mentor junior data scientists and provide technical guidance across projects.
 </li>
 <li>
 Communicate complex technical concepts clearly to product, risk, and leadership teams.
 
 
 
 </li>
 </ul>
 What you will need to have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Masters preferred.
 </li>
 <li>
 6+ years of experience in data science or applied machine learning, with models deployed in production.
 </li>
 <li>
 Strong expertise in machine learning, statistics, and data modeling.
 </li>
 <li>
 Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), NLP (transformers, embeddings, sequence models), OCR, LLMs, including fine-tuning, prompt engineering, and RAG architectures.
 </li>
 <li>
 Prior experience in FinTech, financial services, or regulated industries is a plus
 </li>
 <li>
 Familiarity with MLOps (model versioning, monitoring, CI/CD, feature stores).
 </li>
 <li>
 Experience with explainability and fairness frameworks (e.g., SHAP, bias testing).
 
 
 
 </li>
 </ul>
 At Trusting Social, we deeply espouse the values of ownership, integrity, and agility in execution. We believe in doing what is right, what is best, and what is innovative. If you share our values and beliefs, we invite you to join us on our journey to deliver financial access at unprecedented scale.
 
 
 
 About Us
 
 
 
 Trusting Social, an AI Fintech pioneer, assessed 1bn consumers across 4 countries, revolutionizing credit access. Our unwavering commitment to consumer data rights drives our journey to provide 100 million credit lines in emerging markets. With AI &amp; Big Data, we aim to deliver unprecedented financial access. As audacious problem solvers, we champion ownership, integrity, and innovation. Join us if you're driven to impact society, embracing advanced technology to make a difference. We offer a platform for exploration and impactful contributions. If you're ready to innovate and drive change, come be a part of our team.
 
 
 More information about us please visit our website- https://trustingsocial.com
</div>

Lead Data Scientist/PM - India

ShareChat

<div>
 
 
 Who are we and What do we do?
 
 
 
 ShareChat (https://sharechat.com/about) is India's largest homegrown social media company, with 325+ million monthly active users across all its platforms including Moj, a leading short video app which was launched in a record 30 hours.
 
 
 Founded in October 2015, with a vision of building an inclusive community that encourages &amp; empowers each individual to share their unique journey and valuable experiences with confidence.
 
 
 We are spearheading India's internet revolution by building products through world-class AI &amp; tech to evangelize the content ecosystem for India in regional languages.
 
 
 We believe in complete ownership of problem-solving while committing to speed and integrity in everything we do. We place the utmost importance on user empathy &amp; strive to work towards creating a world-class experience for them every day. Join us to drive how the next billion users will interact on the internet!
 
 
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design and develop systems that serve ad recommendations to over 300 million users
 </li>
 <li>
 Develop and maintain scalable and efficient machine learning systems and pipelines for data processing, feature extraction, model training, and deployment
 </li>
 <li>
 Develop highly scalable feature pipelines aimed at ad prediction systems, which associate ads with users according to relevance, while maximizing revenue for ShareChat
 </li>
 <li>
 Improve system design and architecture to ensure high stability and performance
 </li>
 <li>
 Build monitoring dashboards to keep a check on healthy functioning of critical services and jobs responsible for powering suggestions across different real estates on the application
 </li>
 <li>
 Enhance team&rsquo;s productivity and efficiency by contributing to modular code development, tools, libraries and easy to follow technical documents
 </li>
 <li>
 Collaborate with other teams to build tools and platforms to enhance ML engineering productivity
 </li>
 <li>
 Partner with peers and work in an environment that support your growth
 </li>
 </ul>
 
 
 
 
 
 Who are you?
 
 
 <ul>
 <li>
 2-4 years of experience in a consumer facing large scale application
 </li>
 <li>
 Strong CS fundamentals with a track record of writing production-quality code in a modern high-level programming language
 </li>
 <li>
 Excellent coding skills in at least one of Go, Python, NodeJS, C/C++, Java, Scale
 </li>
 <li>
 Experience in automated software testing
 </li>
 <li>
 Experience using cloud-based open source tools in Linux/Unix environments (GCP is a plus)
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Experience with distributed systems, scalable data processing frameworks (e.g., Spark,Kafka) and noSQL systems (e.g., HBase, Cassandra) are a plus
 </li>
 <li>
 Experience in AI/ML and distributed systems is a plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Where will you be?
 
 
 
 Bangalore
 
 
 
 
 
 
 What's in it for you?
 
 
 
 At ShareChat, our values - Ownership, Speed, User Empathy, Integrity, and First Principles - are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development. We also offer several benefits to our employees - like ESOPs, monthly childcare allowance for women employees, insurance coverage, and more.
 
</div>

SDE-2

Intuit

<div>
 
 Overview
 
 
 
 Come join our collaborative and creative group of AI scientists and machine learning engineers for Intuit Foresight! As AI Scientist, you'll get to design and build next generation AI systems that directly impact our customers deploying machine learning models in AI-native apps, using everything from analytical
 
 
 algorithms to deep learning and generative AI. We're excited for you to join us and do some seriously awesome work.
 
 
 The team is at the heart of building next generation AI systems and algorithms using state of the art algorithms, platform infrastructure and massive datasets unique to Intuit. Building these AI and GenAI systems involve the use of large language models, reinforcement learning, human prefernce learning, forecasting, optimization and in-depth knowlege of using experimentation methods and AI evaluations.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Perform hands-on data analysis and modeling with huge data sets. Apply AI and and machine learning methods to build next generation AI Capabilities and Algorithms
 </li>
 <li>
 Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
 </li>
 <li>
 Create and refine features from the underlying data. You&rsquo;ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you&rsquo;ll lather, rinse and repeat
 </li>
 <li>
 Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in Computer Science, Mathematics, Statistics, Engineering, or related quantitative field
 </li>
 <li>
 2+ years of proven experience in building AI systems using Large Language Models and Reasoning Language Models as well as applying ML methods such as classification, regression, decision trees, deep neural nets, reinforcement learning. Hands on experience in running large scale AI Evals.
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

AI Scientist - 2

Mercedes-Benz Research and Development India

<div>
 
 
 About MBRDI:
 
 
 
 Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&amp;D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for AI Enthusiasts&mdash;applied data scientists who thrive on learning, experimenting, and building the future of AI.
 
 
 This role is perfect for someone who is curious by nature, loves exploring new models and frameworks, and wants to grow into an expert in LLMs, AI Agents, and Multi-Agentic Systems.
 
 
 If you are someone who tinkers with tools even after work hours, reads about the latest breakthroughs, or enjoys turning ideas into prototypes&mdash;you will feel at home here.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Explore and Build with LLMs
 
 
 <ul>
 <li>
 Experiment with new LLMs (GPT, Llama, Claude, Mistral, etc.).
 </li>
 <li>
 Try out new prompting patterns, fine-tuning methods, and retrieval strategies.
 </li>
 <li>
 Turn ideas into prototypes&mdash;quickly and creatively.
 </li>
 </ul>
 
 
 Play, Learn, and Create with Orchestrator Frameworks
 
 
 <ul>
 <li>
 Work with LangChain, LlamaIndex, CrewAI, or anything new that emerges.
 </li>
 <li>
 Build multi-step workflows, context managers, memory modules, and tool-based actions.
 </li>
 <li>
 Try different agent architectures and communication patterns.
 </li>
 </ul>
 
 
 Design Multi-Agentic Systems
 
 
 <ul>
 <li>
 Build agents that collaborate, debate, plan, and execute tasks autonomously.
 </li>
 <li>
 Experiment with A2A (Agent-to-Agent) interaction workflows.
 </li>
 <li>
 Convert experimental agents into enterprise-ready pipelines.
 </li>
 </ul>
 
 
 Grow into Enterprise-Scale AI
 
 
 <ul>
 <li>
 Learn how to scale your prototypes into real applications.
 </li>
 <li>
 Use Azure services&mdash;Azure OpenAI, App Service, Functions, AKS, ADLS&mdash;to deploy AI workloads.
 </li>
 <li>
 Work with Git, CI/CD, microservices, Docker, and cloud best practices.
 </li>
 </ul>
 
 
 Constant Learning &amp; Innovation
 
 
 <ul>
 <li>
 Read research papers, follow AI trends, and test new libraries.
 </li>
 <li>
 Participate in internal hackathons and AI/GenAI forums.
 </li>
 <li>
 Regularly bring fresh ideas, PoCs, and innovative techniques to the team.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in data science / applied ML / AI engineering.
 </li>
 <li>
 Strong Python development background.
 </li>
 <li>
 Experience with Git/GitHub workflows.
 </li>
 <li>
 Practical exposure to LLMs, embeddings, and RAG pipelines.
 </li>
 <li>
 Hands-on experience with orchestrators (LangChain, LlamaIndex, CrewAI).
 </li>
 <li>
 Experience building AI Agents and/or multi-agent systems.
 </li>
 <li>
 Knowledge of cloud platforms (Azure preferred).
 </li>
 <li>
 Understanding of scalable and enterprise application development.
 </li>
 </ul>
 
 
 
 
 
 Good to Have :
 
 
 <ul>
 <li>
 MCP (Model Context Protocol) experimentation.
 </li>
 <li>
 Databricks, Delta Lake, or Spark exposure.
 </li>
 <li>
 Contributions to open-source AI tools or repos.
 </li>
 <li>
 Automation experience with n8n or agent frameworks.
 </li>
 <li>
 Experience with structured + unstructured data pipelines.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 &middot; Be part of a purpose-driven organization that&rsquo;s shaping the future of mobility.
 
 
 &middot; Work on cutting-edge technologies and global projects.
 
 
 &middot; Thrive in a collaborative, diverse, and inclusive environment.
 
 
 &middot; Access world-class infrastructure and learning opportunities.
 
 
 
 
 
 
 Equal Opportunity Statement:
 
 
 
 At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.
 
</div>

Applied Data Scientist

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