chief scientist

Anonymous

<div>
 
 We are establishing the scientific foundation for enterprise AI at planetary scale. This is not
 
 
 applied research &mdash; it is the pursuit of intelligence itself as a governed substrate.
 
 
 
 
 
 We seek a Chief Scientist to lead the exploration of frontier sciences where theory meets
 
 
 platform, and platform becomes market.
 
 
 
 
 
 
 The Mandate
 
 
 
 &bull; Pioneer methodologies that allow intelligence to reason, adapt, and evolve reflexively.
 
 
 &bull; Fuse mathematics, computation, and systems science into operational frameworks.
 
 
 &bull; Establish new scientific standards that will define the next trillion-dollar enterprise.
 
 
 
 
 
 
 Who You Are
 
 
 
 &bull; A scientist of uncommon breadth, bridging machine learning, reasoning systems, and
 
 
 complex systems theory.
 
 
 &bull; Capable of transforming deep research into scalable enterprise systems.
 
 
 &bull; Motivated to shape not just papers or prototypes, but the foundations of a global
 
 
 intelligence protocol.
 
 
 
 
 
 If your work belongs not only in journals, but in the substrate of intelligence itself, this is
 
 
 your invitation.
 
 
 
 
 
 We open to Global applications.
 
</div>

Chief Scientist- Leading the Frontier of Intelligence Science

RennoWaste

<div>
 
 
 About RennoWaste
 
 
 
 RennoWaste is a next-generation cleantech company developing integrated biorefinery systems to convert agro-industrial and post-harvest residues into high-value fuels, chemicals, and materials.
 
 
 Located at SRI-TBI, Delhi, RennoWaste focuses on valorizing lignin, cellulose, and hemicellulose streams into commercially viable biofuels, thermoset binders, chelates, and bio-based intermediates through scalable pretreatment and conversion technologies.
 
 
 
 
 
 
 
 
 
 Role Overview
 
 
 
 The Chief Scientific Officer (CSO) will lead RennoWaste&rsquo;s R&amp;D and pilot development strategy&mdash;bridging fundamental biomass chemistry with scalable industrial implementation.
 
 
 This position requires a scientist-engineer hybrid mindset capable of translating bench-scale results into process engineering solutions, guiding technology validation, and establishing a high-performance multidisciplinary R&amp;D team.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the scientific direction, R&amp;D programs, and pilot plant development for lignin, cellulose, and hemicellulose valorization.
 </li>
 <li>
 Define, plan, and supervise the design, setup, and commissioning of RennoWaste&rsquo;s pilot biorefinery unit.
 </li>
 <li>
 Develop standardized process protocols for pretreatment, separation, and conversion of biomass components.
 </li>
 <li>
 Oversee analytical and characterization work to ensure quality control and material reproducibility.
 </li>
 <li>
 Co-lead proposal writing and grant acquisition (DST, DBT, BIRAC, MNRE, Innosuisse, etc.) to fund technology scale-up.
 </li>
 <li>
 Evaluate techno-economic feasibility (TEA) and guide the optimization of CapEx and OpEx for pilot and industrial systems.
 </li>
 <li>
 Build and mentor a cross-functional R&amp;D and process team (biotechnology, chemistry, and engineering).
 </li>
 <li>
 Interface with industrial partners, incubation centers, and government agencies to align R&amp;D outcomes with commercialization goals.
 </li>
 <li>
 Ensure safety compliance, environmental standards, and IP strategy development in collaboration with legal and innovation partners.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Deep understanding of lignocellulosic biomass chemistry, including lignin depolymerization, cellulose hydrolysis, and hemicellulose valorization pathways.
 </li>
 <li>
 Minimum 10 years of industrial or translational research experience in biomass, biofuels, or biochemicals.
 </li>
 <li>
 Demonstrated ability to lead teams in process design, R&amp;D strategy, or technology scale-up.
 </li>
 <li>
 Strong grasp of reactor engineering, process intensification, solvent recovery, and analytical techniques (FTIR, NMR, HPLC, GPC).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Previous leadership role in biorefinery, ethanol, or CBG project execution (pilot to commercial scale).
 </li>
 <li>
 Experience with plant commissioning, process troubleshooting, and techno-economic validation.
 </li>
 <li>
 Proven track record of grant or project leadership with agencies such as DBT, DST, MNRE, or industry-funded consortia.
 </li>
 <li>
 Publications, patents, or commercialization experience in biomass pretreatment or lignin valorization.
 </li>
 <li>
 Established professional network across academia, PSUs, and industrial biotechnology sectors.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Leadership Position: Core leadership role driving RennoWaste&rsquo;s scientific and industrial growth strategy.
 </li>
 <li>
 Autonomy: Freedom to build and direct the scientific, technical, and pilot development teams.
 </li>
 <li>
 Collaborative Ecosystem: Access to top-tier R&amp;D partners, testing facilities, and support at SRI Delhi and other national institutes.
 </li>
 <li>
 Growth Trajectory: Opportunity to evolve into CTO or Director (Technology) as the company progresses to commercial scale.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 A scientist-engineer leader who can bridge lab innovation with industrial execution.
 </li>
 <li>
 Experienced in biomass process chemistry, analytical validation, and industrial project management.
 </li>
 <li>
 Capable of building teams, partnerships, and processes from the ground up.
 </li>
 <li>
 Committed to long-term scientific and commercial vision (5+ years).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Application
 
 
 
 To apply : connect with me on LinkedIn and email your profile and a short note on relevant work and vision to
 
 hr@rennowaste.com.
 
 
</div>

Chief Scientific Officer

Adobe

Our Company
 
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
Principal Scientist – Adobe Experience Platform
 
Our Company
 At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. Adobe is listed as Fortune’s “100 Best Companies to Work For” for 20 consecutive years. You will also be surrounded by colleagues who are committed to helping each other grow. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
 Changing the world through digital experiences is what Adobe’s all about. We give global brands everything they need to design and deliver exceptional digital experiences. We’re passionate about redefining how companies interact with customers across every screen.
 We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
 
The Opportunity
 Adobe is redefining customer intelligence. We help enterprises understand their customers deeply—what they value, what they need—and translate that understanding into meaningful, personalized experiences.
 The Adobe Experience Platform (AEP) is at the heart of this mission, powering data integration, governance, advanced analytics, and intelligent services at global scale. Our next chapter focuses on agent-driven AI systems —autonomous, adaptive agents that orchestrate complex workflows, learn from data, and deliver real-time insights and actions.
 At the core lies our Enterprise Knowledge Base , a foundational platform that unifies structured, unstructured, and semi-structured data. This system fuels advanced AI and Generative AI applications across Adobe’s digital marketing ecosystem—empowering customers to unlock richer, more intelligent experiences.
 We are looking for someone who thrives on solving hard problems, scaling intelligent systems, and creating measurable impact. You’ll lead the design and development of low-latency, high-throughput services that power intelligent enterprise experiences across millions of users worldwide.
 
Job Responsibilities
 
Lead the technical design, implementation, and evolution of AEP Knowledge Base and Agentic AI systems.
 
Strong background in distributed storage (Delta Lake, Iceberg), compute (Spark), data warehousing (Snowflake, BigQuery, Redshift) and cloud services (Azure, AWS, GCP).
 
Work hands-on with foundation models (OpenAI, Anthropic, Llama, Gemini) and model adaptation techniques.
 
Architect RAG (Retrieval-Augmented Generation) pipelines and optimize vector databases (FAISS, Pinecone, Weaviate, Milvus) for enterprise-grade AI solutions.
 
Experience with foundation models (OpenAI/Anthropic/Llama/Gemini) and model adaptation techniques.
 
Design and deploy high-performance, low-latency distributed systems that scale globally.
 
Establish guidelines for evaluation, safety, and guardrails for system behaviour.
 
Collaborate with research and product teams to integrate modern capabilities into the Platform.
 
Mentor engineers, drive technical excellence, and foster a culture of continuous learning.
 
Contributions to open-source projects in the agent/LLM ecosystem is desirable.
 
What you will need to succeed
 
15+ years in design and development of large scale data intensive distributed systems.
 
3+ years as a lead / chief architect.
 
In depth work experience on technologies like Apache Spark, Delta Lake, Snowflake, Kubernetes, etc.
 
In depth work experience on one or more public clouds like Azure, AWS or GCP.
 
Strong background in Relational Stores ( PostgreSQL, MySQL ).
 
Strong experience in Vector Stores ( Pinecone, Weaviate, Milvus).
 
Strong coding skills in Java, Scala, Python.
 
Proficiency in data structures and algorithms.
 
Cost consciousness around computation and memory requirements.
 
Excellent communication and collaboration skills to work with multi-functional R&D teams.
 
BTech/MTech/MS in Computer Science, AI/ML or related fields.
 
Why Adobe
 At Adobe, you’ll work in a culture that values creativity, collaboration, and continuous learning. Our Check-In approach fosters open feedback, career growth, and shared success.
 If you’re ready to shape the future of AI-powered customer experiences and make a global impact— Adobe is the place for you.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Principal Scientist

JP Techno Park

<ul><li>JOB DESCRIPTION</li></ul>We are seeking a highly skilled Data Scientist along with strong Data Engineering expertise to join Advance Analytics and Modeling team. The ideal candidate will have a proven ability to work with diverse datasets, build machine learning models, and deploy scalable solutions. This role requires proficiency in Python, advanced analytical skills, and experience in developing machine learning models and dashboards in python. The candidate should have experience in deploying machine learning models in production using cloud platforms such as AWS or Azure and workflow orchestration tools like Airflow.Key Responsibilities:<ul><li>Develop and deploy machine learning models for classification, regression, and</li><li>clustering problems.</li><li>Perform statistical analysis to derive actionable insights from data.</li></ul><ul><li>Design and implement predictive analytics solutions to support business decision-</li></ul>making.Docker)translate them into analytical solutions.<ul><li>Design, build, and optimize data pipelines using Airflow.</li><li>Ensure data quality, integrity, and availability through robust ETL processes.</li><li>Work on model deployment using Python-based frameworks and containerization (e.g.,</li><li>Create interactive dashboards using Python libraries to visualize data and results.</li><li>Collaborate with cross functional teams to understand business requirements and</li></ul>Required Skills &amp; Expertise:Technical Skills:<ul><li>Proficiency in Python, advanced Python concepts (object-oriented programming,</li><li>multi-threading, etc.), SQL and Excel.</li><li>Hands-on experience with data visualization tools (e.g., Tableau, Power BI) is a</li></ul>plus.Analytics and Machine Learning:<ul><li>Strong analytical skills and experience in predictive modeling.</li><li>Hands-on experience with machine learning libraries like scikit-learn, TensorFlow</li><li>or PyTorch.</li><li>Ability to work with large datasets and extract meaningful insights to generate</li></ul>output<ul><li>Ability to work on ad-hoc requests to support business needs and derive</li></ul>actionable insightsData Visualization:Streamlit.<ul><li>Experience inn creating dashboards using Python libraries like Plotly, Dash, or</li></ul>Data Engineering:<ul><li>Knowledge of Airflow or similar workflow orchestration tools.</li><li>Expertise in ETL processes and pipeline automation.Model Deployment:</li><li>Familiarity with deploying machine learning models in production using Flask,</li><li>FastAPI, or similar frameworks.</li><li>Experience with containerization and orchestration tools (Docker, Kubernetes.)</li></ul>Tools and Platforms:<ul><li>Experience with version control tools like Git.</li><li>Familiarity with cloud platforms like AWS, Azure, or GCP is a plus.</li><li>Problem-Solving &amp; Communication: Strong problem-solving skills, with the ability to translate complex analytical findings into clear and actionable recommendations.</li><li>Excellent communication and presentation skills, with experience delivering</li><li>insights to senior stakeholders.Candidate Profile:</li><li>Educational Background: Bachelor&rsquo;s/Master&rsquo;s degree in Analytics, Data Science, Economics, Statistics, Engineering, or a related field.</li><li>Professional Experience: At least 5 years of experience in Data Science and Data</li></ul>Engineering.Job Type: Full-timePay: &#8377;1,500,000.00 - &#8377;1,800,000.00 per yearExperience:<ul><li>Data Scientist: 10 years (Required)</li><li>Python: 10 years (Required)</li><li>Analytical Data: 10 years (Required)</li><li>PySpark: 10 years (Required)</li><li>SQL: 10 years (Required)</li><li>Excel: 10 years (Required)</li><li>Data Visualization: 10 years (Required)</li><li>Insurance: 10 years (Required)</li><li>Tableau: 10 years (Required)</li><li>Power BI: 10 years (Required)</li><li>Data Engineering: 10 years (Required)</li><li>machine Learning: 10 years (Required)</li><li>ETL: 10 years (Required)</li><li>Automation: 10 years (Required)</li><li>Flask: 10 years (Required)</li></ul>Work Location: In person

Lead Analytical Data Scientist

ZEISS Group

<div><div>ZEISS in India</div><div></div><div>
ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports &amp; Cine Optics.</div><div></div><div>
ZEISS India has 3 production facilities, R&amp;D center, Global IT services and about 40 Sales &amp; Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS&rsquo; success story in India is continuing at a rapid pace.</div><div></div><div>
Further information at <div>ZEISS India</div>.</div><div></div><div>
In this role you will:</div><div>
Focus on communication, conceptual, and organizational work</div><ul><li>
Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases</li><li>
Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact</li><li>
Lead and mentor junior data scientists, while clearly communicating complex AI concepts to both technical and non-technical audiences.</li><li>
Drive the topic of GenAI forward together with the team and our GenAI task force &ndash; from employee training to building the GenAI architecture.</li></ul><div>
and hands-on programming</div><ul><li>
Provide practical insights into feasibility of AI use cases by rapid prototyping</li><li>
Experiment with cutting-edge technologies such as Agentic AI, Deep Learning, and Large Language Models (LLMs), while exploring their seamless integration into our existing data products and projects</li></ul><div></div><div>
You have:</div><ul><li>
Preferably Master's degree in a STEM (Science, Technology, Engineering, Mathematics) subject, such as Data Science, Computer Science, Statistics, Mathematics, or a related field.</li><li>
5+ years of experience as a data scientist, ideally in a senior or lead role.</li><li>
Solid expertise in machine learning, including supervised and unsupervised, along with experience in model evaluation, interpretability, and deployment.</li><li>
You are hands-on with deep learning and GenAI, working with transformers, LLMs, diffusion models, and multimodal AI.</li><li>
Fluency in Python and relevant libraries (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, statsforecast, LangChain)</li><li>
Experience in MCP is a plus</li><li>
You have strong skills in data handling, from preprocessing and feature engineering to advanced analytics</li><li>
Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines</li><li>
Strong communication skills in English, with the ability to explain complex topics clearly.</li><li>
A collaborative mindset, curiosity, and confidence to challenge the status quo.</li></ul><div></div><div>
Your ZEISS Recruiting Team:</div>
Upasana Sinal</div>

Lead Data Scientist – Predictive Analytics / GenAI

Salla

<div>
 Protect millions of buyers and sellers as our Senior Data Scientist for Integrity &amp; Trust. You'll lead building the AI defense systems that detect fraud, eliminate counterfeit products, and maintain marketplace quality across our platform. In MENA's high-COD environment (75% of transactions), trust is everything. Your models will be the difference between platform growth and reputation damage.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy supervised and unsupervised ML models for policy violation detection, counterfeit detection, and fraud detection
 </li>
 <li>
 Build and grow the Integrity, Safety &amp; Trust pod, mentor applied data scientists and deliver end-to-end projects with measurable business outcomes
 </li>
 <li>
 Design feature pipelines that leverage product text, images, seller behavior, and transaction data
 </li>
 <li>
 Apply NLP models for text classification, entity extraction, and multi-lingual moderation (Arabic + English)
 </li>
 <li>
 Utilize multimodal architectures (CLIP, ViT + BERT) for image-text cross-validation
 </li>
 <li>
 Develop graph-based and anomaly detection models to identify coordinated or suspicious merchant activity
 </li>
 <li>
 Collaborate with product, legal, and operations teams to define integrity policies and feedback loops
 </li>
 <li>
 Implement dashboards and monitoring for real-time detection and escalation (e.g., Elastic, Grafana)
 </li>
 <li>
 Optimize model precision/recall tradeoffs based on enforcement and user experience goals
 </li>
 <li>
 Familiarity with graph learning, anomaly detection, and multimodal data pipelines
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 5+ years of experience in applied ML, with at least 2+ years focused on Trust &amp; Safety, Integrity, or Fraud Detection systems
 </li>
 <li>
 Experience with multi-modal text-image modeling (e.g., OCR, CLIP/ViT, layout analysis), taxonomy or attribute extraction, policy classification, and Arabic/English content moderation
 </li>
 <li>
 Strong proficiency in Python, SQL, and ML libraries such as PyTorch, Transformers, Scikit-learn, and OpenCV
 </li>
 <li>
 Experience developing streaming or near-real-time detection systems (Kafka, Redis Streams, or equivalent)
 </li>
 <li>
 Knowledge of e-commerce ecosystems, product policy enforcement, and counterfeit or low-quality detection is a plus
 </li>
 <li>
 Proven experience building or growing a team of applied data scientists and delivering end-to-end projects with measurable business outcomes
 </li>
 <li>
 Excellent analytical reasoning, communication, and cross-functional collaboration skills; able to balance enforcement precision with business impact
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Others
 </li>
 </ul>
</div>

Lead Data Scientist - Integrity & Safety

Cushman & Wakefield

<div>Job Title
Principal Data Scientist | Bangalore
Job Description Summary
The Principal Data Scientist will lead predictive modeling, advanced analytics, and emerging AI initiatives such as GPT, generative AI, and NLP for the Organic Growth Team (OGT). This role involves architecting and deploying predictive and generative AI models, extracting actionable insights, and collaborating closely with stakeholders to drive strategic, data-driven outcomes. The ideal candidate has approximately 10 years of experience in data science and AI, with demonstrated expertise in predictive modeling, machine learning, NLP, generative AI frameworks, and strategic analytics leadership.
 
 
This role will collaborate closely with the Sales &amp; Pursuits team, internal stakeholders and occasionally global counterparts to build predictive models that drive strategic decision-making and optimize sales performance.
 
 
While the primary focus will be on the Asia Pacific region, this role may be required to collaborate with other regions including Europe, Middle East and Africa (EMEA) as well as the Americas, with the intent of sharing insights and best-practices.
Job Description
About The Role:<ul><li>
Data Science and AI Roadmap &ndash; Work with leadership to design and evolve the roadmap for Data Science and AI, ensuring alignment with business objectives and emerging technology trends.</li><li>
Solution Development &ndash; Lead the design, development, and deployment of predictive models, machine learning algorithms, and generative AI / NLP solutions to identify growth opportunities and inform strategic decision-making.</li><li>
Effort Estimation - Provide accurate effort and resource estimations for proposed solutions and prepare quotes for internal stakeholders to assist in decision-making</li><li>
Pipeline and Project Management &ndash; Lead a team to deliver data science and AI projects from ideation through implementation, ensuring timely delivery, clear project reporting and measurable business impact</li><li>
Stakeholder collaboration &ndash; Work closely with other streams of the OGT (Sales and Pursuits, Data Analytics, Data Architecture and Engineering) to understand business needs and define effective analytical approaches leveraging Data Science and AI</li><li>
Team Leadership &ndash; Provide technical mentorship and guidance to junior data scientists and analysts, fostering a culture of continuous learning and technical excellence</li><li>
Communication and Storytelling &ndash; Translate complex analytical and AI-driven results into clear, actionable insights and effectively communicate findings to business leaders and stakeholders</li><li>
Continuous Improvement &ndash; Drive the continuous improvement of analytical methodologies and data quality processes within the team. Regularly share best practices, lessons learned and foster a culture of continuous improvement</li><li>
Knowledge Documentation &ndash; maintain comprehensive documentation of data products, analytics methodologies and insights.
</li></ul>About You:<ul><li>
Expertise in statistical modeling, machine learning techniques, predictive analytics, NLP, and generative AI frameworks (e.g., GPT models).</li><li>
Expert Level Proficiency in programming languages such as Python, R, and SQL.</li><li>
Experience with data visualization tools (e.g., Power BI)</li><li>
Strong understanding of data processing frameworks, ETL pipelines, data warehousing, and data lake concepts.</li><li>
Deep knowledge of deep learning frameworks and libraries (e.g., PyTorch, TensorFlow, HuggingFace).</li><li>
Demonstrated ability to lead complex analytical and AI projects from inception through deployment.</li><li>
Excellent communication and interpersonal skills, with a proven track record of articulating complex analytical and AI concepts clearly to non-technical stakeholders.</li><li>
Familiarity with both unstructured and structured data sources, especially cloud services and platforms (Azure, AWS) and exposure to big data technologies.</li><li>
Proven ability to innovate and develop novel analytical and AI-driven solutions, influencing strategic direction and promoting innovation within the organization.</li><li>
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.</li><li>
Approximately 10-15 years of professional experience in data science, predictive modeling, AI, NLP, or related fields.</li></ul>
Why join Cushman &amp; Wakefield?
As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman &amp; Wakefield means you will benefit from;<ul><li>
Being part of a growing global company;</li><li>
Career development and a promote from within culture;</li><li>
An organisation committed to Diversity and Inclusion</li></ul>
We're committed to providing work-life balance for our people in an inclusive, rewarding environment. 
We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.<div>
We have a vision of the future, where people simply belong. 
That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status.
</div>We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us. 

INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Principal Data Scientist | Bangalore

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