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data scientist

Rockwell Automation

<div>
 Rockwell Automation is a global technology leader focused on helping the world&rsquo;s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
 
 
 We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that&rsquo;s you we would love to have you join us!
 
 
 
 Job Description
 
 
 
 Data Scientist
 
 
 Pune
 
 
 
 Role Purpose
 
 
 
 The DA&amp;I Data Scientist is a multi-skilled engineer who helps to estimate work, accept stories into delivery increments and complete tasks to deliver the work. Develops advanced AI / ML models to support IoT Foundation infrastructure and Connected Enterprise projects.
 
 
 We are open to hire at Pune, Bangalore, Noida location
 
 
 You will report to ENGINEERING MANAGER IT.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Designs, codes and tests AI / ML and enterprise-wide applications
 </li>
 <li>
 Supports cross-functional development activity in various IoT and Connected Enterprise related projects, for internal and external customers
 </li>
 <li>
 Collaborates with Data Engineer to promote AI / ML to production release
 </li>
 <li>
 Supports Data Analytics and IoT foundation architecture design with AI/ML models and interfaces
 </li>
 <li>
 Assists in the support of a community of Citizen Data Scientists within our Business Units
 </li>
 <li>
 Leverages containerization models and writes high-quality code compliant with regulations
 </li>
 <li>
 Analyzes and improves the efficiency of various systems and services
 </li>
 <li>
 Creates and executes required test scenarios/plans to ensure complete testing
 
 
 </li>
 </ul>
 
 The Essentials - You Will Have
 
 
 
 <ul>
 <li>
 Bachelor's degree in data analytics, software engineering, management information systems, or related field
 </li>
 <li>
 Advanced degree in Data Science, AI/ML or related discipline required (optional or a "plus" if attained with undergraduate)
 </li>
 <li>
 Strong understanding and experience in descriptive through prescriptive level analytics
 </li>
 <li>
 Experience with Agile development methodologies
 </li>
 <li>
 Experience with systems development lifecycle and system/process documentation
 </li>
 <li>
 Experience with server-side architectures
 </li>
 <li>
 Experience with ML Libraries, R, Python, Scala, or related programming languages
 </li>
 <li>
 5+ years of experience implementing data science models in production
 </li>
 <li>
 Familiarity with Edge and Container compute concepts
 </li>
 <li>
 Effectively manage multiple projects simultaneously
 </li>
 <li>
 Excellent understanding of business complexity and project interdependencies
 
 
 </li>
 </ul>
 
 The Preferred - You Might Also Have
 
 
 
 <ul>
 <li>
 To and assist colleagues to work through change and support change management processes
 </li>
 <li>
 Strong team orientation and ability to collaborate with the business and IT organizations
 </li>
 <li>
 Retain and convey a positive attitude in challenging circumstances
 </li>
 <li>
 Act courageously by sharing viewpoints openly and directly with others, providing relevant and timely information and feedback
 </li>
 <li>
 And obtains results through others within Rockwell in a respectful way
 
 
 </li>
 </ul>
 
 IPC - Information Processing Capability
 
 
 
 <ul>
 <li>
 Work on issues of moderate scope where analysis of situations or data requires a review of relevant factors
 </li>
 <li>
 Exercise judgment within defined procedures and practices to determine appropriate action
 </li>
 <li>
 Seek out and embrace relevant perspectives when assessing a situation or making a decision; demonstrate clear understanding of multiple viewpoints
 </li>
 <li>
 Leverage business insights in proposing solutions and facilitating change
 </li>
 <li>
 Manage competing demands, accept criticism and constructive feedback, while being extremely
 </li>
 <li>
 Strong analytical skills; ability to distill information from disparate data sources and the capability to tell the "story" behind it, as well as recommendations for next steps
 
 
 </li>
 </ul>
 
 Accepts Role Requirements
 
 
 
 <ul>
 <li>
 Unwavering commitment to, and the ability to model the standards of behavior set out in our Code of Conduct
 </li>
 <li>
 Enthusiasm for relationship building and partnership across the organization at all levels
 </li>
 <li>
 Values working in a team-oriented culture and building consensus with stakeholders before making key decisions
 </li>
 <li>
 Actively pursues personal continuous learning, development of skills
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 Our benefits package includes &hellip;
 
 
 <ul>
 <li>
 Comprehensive mindfulness programs with a premium membership to Calm
 </li>
 <li>
 Volunteer Paid Time off available after 6 months of employment for eligible employees
 </li>
 <li>
 Company volunteer and donation matching program &ndash; Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Personalized wellbeing programs through our OnTrack program
 </li>
 <li>
 On-demand digital course library for professional development
 </li>
 <li>
 and other local benefits!
 
 
 </li>
 </ul>
 
 At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
 
 
 
 Rockwell Automation&rsquo;s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.
 
 
</div>

Data Scientist

KNAV US

<div>
 
 About KNAV
 
 
 
 KNAV is a global accounting and consulting firm experienced in all phases to offer a complete suite of public accounting services including set-up, accounting, assurance, taxation, international transfer pricing and business advisory services, as also to facilitate seamless business growth through mergers &amp; acquisitions. The workplace is rapidly evolving in the age of Industry 4.0. The emergence of new technologies like Robotics Process Automation and Artificial Intelligence has a consequential impact on the services that KNAV gives its end clients and how we choose to harness new technologies in our quest to boost the quality and cost of our services. To help improve our performance and add more value to our clients, KNAV endeavours to use the most advanced AI, machine learning, and analytics technologies. KNAV offers challenging work with potential to grow your career.
 
 
 
 Position Overview
 
 
 
 We are seeking a highly motivated
 
 Data Analyst / Data Scientist
 
 with
 
 2&ndash;4 years of experience
 
 in analytics and applied AI/ML. The role requires both independent ownership of analytical tasks and effective collaboration with finance, IT, and cross-functional teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Apply data analytics and machine learning techniques to solve business problems and support decision-making.
 </li>
 <li>
 Write optimized SQL queries and work with relational databases to extract, transform, and analyze data.
 </li>
 <li>
 Use data analytics and visualization tools to perform data cleaning, synthetic data generation, modelling, analysis, and visualization.
 </li>
 <li>
 Design, develop, and maintain dashboards and reports using Power BI and similar tools.
 </li>
 <li>
 Analyse large datasets to identify trends, patterns, and anomalies to support insights generation.
 </li>
 <li>
 Collaborate with finance and IT stakeholders to gather reporting requirements and convert them into analytical solutions or dashboards.
 </li>
 <li>
 Document analytical processes, insights, and project outcomes clearly and concisely.
 </li>
 <li>
 Support embedding of analytical reports into full-stack applications.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in SQL (MS SQL /MySQL/ PostgreSQL).
 </li>
 <li>
 Strong Python programming skills with experience in libraries such as NumPy, Pandas, Matplotlib, Scikit-learn and Random Forest.
 </li>
 <li>
 Hands-on experience with Power BI dashboard creation.
 </li>
 <li>
 Knowledge of MS Excel, Recharts library for React (nice to have).
 
 
 </li>
 </ul>
 
 Analytical &amp; Professional Skills
 
 
 
 <ul>
 <li>
 Strong analytical thinking and problem‑solving abilities.
 </li>
 <li>
 High attention to detail with the ability to detect data patterns and anomalies.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Strong communication skills for working effectively with finance, IT, and business stakeholders.
 </li>
 <li>
 Ability to translate business requirements into technical solutions.
 </li>
 </ul>
</div>

Data Analyst / Data Scientist

Deutsche Telekom

<div>
 
 Deine Aufgabe
 
 
 
 Wir suchen einen
 
 Data Scientist
 
 mit 6-9 Jahren Erfahrung f&uuml;r die Entwicklung und Implementierung fortschrittlicher Machine-Learning-Modelle zur Reduzierung von Kundenabwanderung und Stornierungen. Diese Rolle beinhaltet die enge Zusammenarbeit mit funktions&uuml;bergreifenden Teams, um pr&auml;diktive L&ouml;sungen zu entwickeln, die gef&auml;hrdete Kunden vor Stornierungsereignissen identifizieren und proaktive Bindungsstrategien erm&ouml;glichen.
 
 
 Der Data Scientist spielt eine Schl&uuml;sselrolle bei der End-to-End-Modellentwicklung, von der Datenexploration und Feature-Engineering bis hin zum Training, der Evaluierung und dem Deployment von Modellen in der GCP-Umgebung. Die Arbeit umfasst die Nutzung gro&szlig;er Datenpipelines mit PySpark, die Entwicklung von ML- und Deep-Learning-Modellen mit Python und PyTorch sowie die Zusammenarbeit mit Data Engineering und Fachbereichen, um Produktionsreife und messbaren Gesch&auml;ftserfolg sicherzustellen.
 
 
 W&auml;hrend der anf&auml;ngliche Fokus auf der Reduzierung von Breitband-Auftragsstornierungen liegt, wird das zugrundeliegende ML-Framework so konzipiert, dass es zuk&uuml;nftige Anwendungen wie Kundenlebenszyklusmanagement, Upsell/Cross-Sell-Prognosen und Servicequali&auml;tsanalysen in verschiedenen Gesch&auml;ftsbereichen unterst&uuml;tzt.
 
 
 
 Aufgaben
 
 
 
 <ul>
 <li>
 Durchf&uuml;hrung von Datenexploration und Feature-Engineering auf gro&szlig;en strukturierten und unstrukturierten Datens&auml;tzen
 </li>
 <li>
 Aufbau und Bewertung pr&auml;diktiver ML- und Deep-Learning-Modelle zur Vorhersage von Kundenverhalten, einschlie&szlig;lich Customer Lifetime Value (CLV), Abwanderung und Konversionsneigung
 </li>
 <li>
 Zusammenarbeit mit Data-Engineering-Teams zur Entwicklung skalierbarer Datenpipelines auf Google Cloud Platform (GCP)
 </li>
 <li>
 Zusammenarbeit mit Produkt- und Engineering-Teams, um Datenmodelle und analytische Frameworks mit Gesch&auml;ftszielen abzustimmen
 </li>
 <li>
 &Uuml;bersetzung analytischer Erkenntnisse in umsetzbare Einsichten zur Unterst&uuml;tzung von Marketing- und Bindungsstrategien
 </li>
 <li>
 Beitrag zu MLOps-Praktiken f&uuml;r kontinuierliche Modellverbesserung und -bereitstellung
 </li>
 <li>
 Unterst&uuml;tzung weiterer datengetriebener Initiativen &uuml;ber die Stornierungsvorhersage hinaus, wie Personalisierung, Kundenbindung und Service-Analytik
 
 
 </li>
 </ul>
 
 Dein
 
 Profil
 
 
 
 
 Wir suchen einen erfahrenen
 
 Data Scientist/ML Engineer
 
 mit 6-9 Jahren Erfahrung zur Entwicklung fortschrittlicher Machine-Learning-Modelle f&uuml;r Kundenabwanderungsreduzierung und Bestellstornierungsvorhersage.
 
 
 
 Muss-Kriterien
 
 
 
 <ul>
 <li>
 6-9 Jahre Erfahrung in Data Science oder Machine Learning
 </li>
 <li>
 Erfahrung mit Datenexploration und Feature Engineering auf gro&szlig;en Datens&auml;tzen
 </li>
 <li>
 Kompetenz im Aufbau und der Evaluierung von pr&auml;diktiven ML- und Deep-Learning-Modellen
 </li>
 <li>
 Erfahrung mit Python f&uuml;r Machine-Learning-Entwicklung
 </li>
 <li>
 Erfahrung mit PyTorch f&uuml;r Deep-Learning-Modelle
 </li>
 <li>
 Kenntnisse in PySpark f&uuml;r umfangreiche Datenpipelines
 </li>
 <li>
 Erfahrung in der Arbeit mit Google Cloud Platform (GCP)
 </li>
 <li>
 F&auml;higkeit zur Zusammenarbeit mit funktions&uuml;bergreifenden Teams
 </li>
 <li>
 Erfahrung mit Modellen zur Vorhersage von Kundenverhalten (Churn, CLV, Conversion-Neigung)
 </li>
 <li>
 F&auml;higkeiten, analytische Erkenntnisse in umsetzbare Gesch&auml;ftseinblicke zu &uuml;bersetzen
 
 
 </li>
 </ul>
 
 
 &Uuml;ber uns
 
 
 
 Unternehmensvorstellung &ndash; T-Systems ICT India Pvt. Ltd.
 
 
 
 
 T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.)
 
 ist ein zertifizierter Great Place To Work&reg;, der f&uuml;r seine starke mitarbeiterorientierte Kultur und sein Engagement f&uuml;r Mitarbeiterexzellenz anerkannt ist.
 
 
 Als hundertprozentige Tochtergesellschaft der T-Systems International GmbH ist T-Systems India in Pune und Bangalore t&auml;tig, mit einem dynamischen Team von &uuml;ber 4.200 Fachleuten, die weltweit hochwertige IT-Dienstleistungen f&uuml;r Konzernkunden erbringen.
 
 
 T-Systems India spielt eine Schl&uuml;sselrolle in dieser globalen Vision, indem es integrierte, ganzheitliche IT-L&ouml;sungen und branchenspezifische Software liefert, um die Transformation in verschiedenen Branchen voranzutreiben, darunter:
 
 
 <ul>
 <li>
 Automobilindustrie
 </li>
 <li>
 Fertigung
 </li>
 <li>
 Logistik
 </li>
 <li>
 Transport
 </li>
 <li>
 Gesundheitswesen
 </li>
 <li>
 &Ouml;ffentlicher Sektor
 
 
 </li>
 </ul>
 Seit &uuml;ber 25 Jahren steht
 
 T-Systems International GmbH
 
 an der Spitze der digitalen Innovation, treibt den Fortschritt voran und f&ouml;rdert digitalen Optimismus. Als f&uuml;hrender europ&auml;ischer IT-Dienstleister und stolzer Teil der Deutschen Telekom liefert T-Systems transformative Digitalisierungsprojekte, gest&uuml;tzt auf tiefgreifende Expertise in:
 
 
 <ul>
 <li>
 Beratung
 </li>
 <li>
 Cloud
 </li>
 <li>
 KI
 </li>
 <li>
 Cybersicherheit
 </li>
 <li>
 Konnektivit&auml;t
 
 
 </li>
 </ul>
 Mit einer globalen Belegschaft von 26.000 Mitarbeitern in 26 L&auml;ndern setzen wir Branchenma&szlig;st&auml;be in Effizienz, Souver&auml;nit&auml;t, Sicherheit und Zuverl&auml;ssigkeit &ndash; und bef&auml;higen Organisationen, ihr volles digitales Potenzial zu entfalten.
 
 
 Mit einem Jahresumsatz von &uuml;ber 4,0 Milliarden EUR (2024) ist
 
 T-Systems einer der f&uuml;hrenden Partner f&uuml;r digitale Transformation in Europa
 
 , der sich der Gestaltung der Zukunft der Unternehmenstechnologie verschrieben hat.
 
 
 
 Informationen zur Bewerbung
 
 
 
 Bitte beachte: Betr&uuml;gerische Stellenangebote/Jobbetr&uuml;gereien werden immer h&auml;ufiger. Sei vorsichtig bei irref&uuml;hrenden Anzeigen und betr&uuml;gerischer Kommunikation, die im Namen von T-Systems "Angebotsschreiben" gegen eine Geb&uuml;hr ausstellen. Achte auf eine authentische T-Systems-E-Mail-Adresse - XYZ@t-systems.com .
 
 
 Bleib wachsam. Sch&uuml;tze dich vor Rekrutierungsbetrug!
 
 
 Um mehr zu erfahren, besuche: Betrugswarnung
</div>

Data Scientist (m/w/d)

Capco

<div>
 
 Job Title: Data Analyst
 
 
 
 
 About Us
 
 
 
 
 &ldquo;Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by
 
 
 Avtar &amp; Seramount
 
 
 . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
 
 
 
 
 WHY JOIN CAPCO?
 
 
 
 You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
 
 
 
 MAKE AN IMPACT
 
 
 
 Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
 
 
 
 #BEYOURSELFATWORK
 
 
 
 Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
 
 
 
 CAREER ADVANCEMENT
 
 
 
 
 With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
 
 
 
 
 DIVERSITY &amp; INCLUSION
 
 
 
 
 We believe that diversity of people and perspective gives us a competitive advantage.
 
 
 
 MAKE AN IMPACT
 
 
 
 Number of Positions: 2
 
 
 
 
 Job Location: Pune, Hyderabad, Bangalore
 
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Support the delivery of complex transformation program development within data portfolio.
 </li>
 <li>
 Work within agile multi-skilled teams to create world class products to serve our customer&rsquo;s needs.
 </li>
 <li>
 Perform the elicitation and analysis of business change, functional and non-functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
 </li>
 <li>
 Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
 </li>
 <li>
 Understand the "user" journey end to end which goes beyond the "system&rdquo;.
 </li>
 <li>
 Provide advanced business knowledge and technical support for requirements development.
 </li>
 <li>
 Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
 </li>
 <li>
 Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
 </li>
 <li>
 Create and maintain the data models.
 
 
 </li>
 </ul>
 
 To be successful in this role, you should meet the following requirements:
 
 
 
 <ul>
 <li>
 Strong Data Analysis and/or Data Modeling experience of 8-12 years.
 </li>
 <li>
 Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
 </li>
 <li>
 Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards.
 </li>
 <li>
 Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
 </li>
 <li>
 Should be an individual contributor with good understanding of the SDLC &amp; Agile methodologies.
 </li>
 <li>
 A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment.
 </li>
 <li>
 Excellent communication &amp; stakeholder management skills and should be capable of building rapport and relationships.
 </li>
 <li>
 Act as a liaison between business and technical teams to bridge any gaps and assist the business teams &amp; technical teams to successfully deliver the projects.
 </li>
 <li>
 Other Skills &amp; Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable).
 </li>
 </ul>
</div>

Data Analyst

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3 - 10 years of hands-on experience in technology Consulting experience
 </li>
 <li>
 Experience developing Classes, OOPS, exception handling, parallel processing.
 </li>
 <li>
 Strong knowledge of DB connectivity, data loading, transformation, calculation.
 </li>
 <li>
 Concurrency and error handling data pipeline batch of size [1-10 gb].
 </li>
 <li>
 Ability to understand business requirements and translate them into technical requirements.
 </li>
 <li>
 Ability to design architecture of data pipeline for concurrent data processing.
 </li>
 <li>
 Familiar with creating/designing RESTful services and APIs.
 </li>
 <li>
 Familiar with application unit tests.
 </li>
 <li>
 Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services.
 </li>
 <li>
 Debugging application.
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Good Understanding of fundamental design principles behind a scalable application
 </li>
 <li>
 Good Understanding of accessibility and security compliance
 </li>
 <li>
 Familiarity with event-driven programming in Python
 </li>
 <li>
 Proficient understanding of code versioning tools (Git, Mercurial or SVN)
 </li>
 <li>
 Knowledge of PowerShell and SQL Server
 </li>
 <li>
 Good Knowledge of user authentication and authorization between multiple systems, servers, and environments
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 
 Location:
 
 
 
 Bengaluru/Hyderabad/Pune/Chennai
 
 
 
 #AIE2026
 
 
 
 #AI&amp;Data2026
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 322086
</div>

Python Data Engineer-Hyderabad,Bengaluru,Pune,Chennai

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Data Analysts (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
 <ul>
 <li>
 Analyze structured and unstructured datasets generated from
 
 ML training, inference, and evaluation pipelines
 
 .
 </li>
 <li>
 Define, compute, and validate
 
 metrics
 
 used to evaluate model performance and behavior.
 </li>
 <li>
 Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
 </li>
 <li>
 Write and run
 
 Python and SQL
 
 code to analyze data, create reports, and support evaluation workflows.
 </li>
 <li>
 Validate data quality, consistency, and correctness across datasets and experiments.
 </li>
 <li>
 Create clear, well-documented analytical artifacts and reproducible analysis workflows.
 </li>
 <li>
 Collaborate with ML engineers and researchers to design
 
 challenging, real-world evaluation scenarios
 
 for MLE Bench.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum
 
 3+ years
 
 of experience as a
 
 Data Analyst or Analytics-focused Engineer
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data analysis.
 </li>
 <li>
 Solid experience with
 
 SQL
 
 and relational datasets.
 </li>
 <li>
 Experience analyzing
 
 ML outputs and evaluation metrics
 
 .
 </li>
 <li>
 Strong understanding of statistics and analytical reasoning.
 </li>
 <li>
 Ability to work with
 
 large, complex datasets
 
 and draw reliable insights.
 </li>
 <li>
 Experience writing
 
 clean, readable, and well-documented analytical code
 
 .
 </li>
 <li>
 Excellent spoken and written
 
 English communication skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
 </li>
 <li>
 
 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
 </li>
 <li>
 
 Duration of Contract:
 
 3 months (adjustable based on engagement)
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Data Analyst - 60736

Johnson & Johnson MedTech

<div>
 At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
 
 
 As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
 
 
 
 Job Function
 
 
 
 Data Analytics &amp; Computational Sciences
 
 
 
 Job Sub Function
 
 
 
 Business Intelligence
 
 
 
 Job Category
 
 
 
 Professional
 
 
 
 All Job Posting Locations:
 
 
 
 Pune, Maharashtra, India
 
 
 
 Job Description
 
 
 
 
 Job Description- Sr. Analyst - Data &amp; Analytics
 
 
 
 We are seeking a highly motivated Sr Analyst to join our team of analytics experts in the MedTech Commercial Data &amp; Analytics team. The candidate will primarily work on shaping the data architecture, implement data engineering solutions and support data quality/management for global commercial data lake. This role is also responsible for operations and driving efficiencies. Candidate should be a strong team player and have a consultative approach to problem solving.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Engage and collaborate with business stakeholders to gather and analyze their requirements and translate them into technical specifications for data solutions.
 </li>
 <li>
 Design and construct effective and reliable data engineering solutions with end-to-end project responsibility by closely liaising with business analytics and visualization team
 </li>
 <li>
 Implement data quality checks and testing protocols to ensure the accuracy and reliability of data. Perform integration tests for data pipelines and frameworks, ensuring all elements are rigorously vetted prior to deployment
 </li>
 <li>
 Collaborate with data management teams to ensure right metadata management and data lineage
 </li>
 <li>
 Manage and own weekly, monthly and quarterly data operations activities with necessary due diligence; develop solutions to improve data quality
 </li>
 <li>
 Identify continuous improvement opportunities for the data solutions with focus on performance, scalability and maintainability
 </li>
 <li>
 Maintain high standards for insight generation, data quality, reporting, and timely project execution
 </li>
 <li>
 Communicate, at scale, through multiple mediums &ndash; presentations, dashboards, data-sets and more
 </li>
 <li>
 Maintain documentation on data architecture, solutions and processes
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 A Bachelors&rsquo; degree in computer science, engineering or equivalent is required
 </li>
 <li>
 5+ years working experience in any data engineering and analytics related roles
 </li>
 <li>
 5+ Years of advanced SQL skills
 </li>
 <li>
 2+ Years of Python development experience
 </li>
 <li>
 3+ years experience with Data Modeling
 </li>
 <li>
 Experience analyzing data to discover opportunities and address gaps independently.
 </li>
 <li>
 5+ years experience in custom ETL design, implementation and maintenance.
 </li>
 <li>
 Experience working with cloud platform (i.e. AWS, Azure, or similar)
 </li>
 <li>
 Experience with SQL performance tuning and E2E process optimization.
 </li>
 <li>
 Experience managing cloud infrastructures is preferred
 </li>
 <li>
 Exposure to data science landscape is a plus.
 </li>
 <li>
 Global experience a plus
 </li>
 <li>
 Proven ability to work collaboratively with colleagues across functional areas to deliver results
 </li>
 <li>
 Effective communication &amp; presentation skills. Growth mindset to learn across breadth and depth of technology stacks.
 
 
 </li>
 </ul>
 Johnson &amp; Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
 
 
 
 Required Skills
 
 
 
 
 Preferred Skills:
 
 
 
 Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Integration, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Management Systems Implementation, Problem Solving, Process Oriented, Project Management, Statistical Analysis Systems (SAS) Programming, Workflow Analysis
</div>

Sr. Analyst - Data & Analytics

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