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Tata Communications Transformation Services (TCTS)

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Location: Pune
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 We are seeking a visionary and execution oriented Senior Manager to lead customer centric projects focused on AI powered and Autonomous Network Solutions, spanning wireless (4G/5G), wireline (fiber, broadband), and Fixed Wireless Access (FWA) domains.
 </li>
 <li>
 This role connects business strategy, technical innovation, and operational delivery, ensuring customer success through intelligent network transformation.
 </li>
 <li>
 Key Responsibilities AI and Autonomous Network Solutions Lead e2e engagement for AI enabled, closed loop autonomous network solutions across wireless, wireline, and FWA technologies.
 </li>
 <li>
 Translate customer requirements into delivery roadmaps featuring AI/ML models, LLM prompting, network self-healing, and predictive analytics.
 </li>
 <li>
 Oversee deployment of automation use cases like alarm correlation, anomaly detection, traffic prediction, and zero touch optimization.
 </li>
 <li>
 Sales Enablement and Solution Engineering Partner with sales, product, and pre sales engineering teams to design scalable, AI driven solutions for both wireless (4G/5G NSA/SA) and wireline networks (FTTx, xDSL, GPON, DOCSIS).
 </li>
 <li>
 Create and present business cases and proof of concepts (PoCs) tailored to hybrid network environments, including FWA deployment strategies. Develop proposals that address customer pain points using AI driven KPI insights, RF/wireline performance analytics, and capacity modelling.
 </li>
 <li>
 Project Leadership and Delivery Execution Manage cross functional delivery of multi technology engagements, from FWA rollout automation to AI driven fiber network analytics. Track timelines, budgets, risk mitigation plans, and outcomes using Agile or hybrid methodologies, ensuring high impact delivery aligned with customer goals.
 </li>
 <li>
 Drive adoption of autonomous workflows and AI based decisioning across planning, optimization, provisioning, and fault management. Customer Relationship and Stakeholder Management Act as the primary interface with customers for sales aligned project delivery, status updates, and solution expansion discussions.
 </li>
 <li>
 Conduct technical deep dives, workshops, and strategy sessions with telecom operators and enterprise clients.
 </li>
 <li>
 Foster long term client relationships by consistently demonstrating value through network intelligence, automation, and performance improvement. Innovation and Ecosystem Leadership Champion the use of generative AI, prompting, and large language models (LLMs)for automation and proactive network management.
 </li>
 <li>
 Collaborate with internal RandD, product management, and operations teams to evolve the service portfolio across wireless, wireline, and converged network domains. Influence the design and adoption of self-optimizing networks (SON), FWA performance platforms, and fiber diagnostics using AI.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Qualifications Bachelor/Master degree in Telecommunications, Computer Science,
 
 Data Science,or related fields.
 </li>
 <li>
 12 plus years of experience in telecom network services with 5 plus years in AI/automation leadership roles. Strong understanding of 4G/5G, FWA, and wireline network technologies (e.g. fiber broadband, GPON, DOCSIS, xDSL).
 </li>
 <li>
 Expertise in AI/ML (supervised/unsupervised learning), prompt engineering, automation scripting (Python, SQL), and analytics tools (Tableau, Power BI). PMP, Agile, or relevant delivery certifications preferred. Key Skills AI/ML in Network Optimization Prompt Engineering and LLM Integration Autonomous Wireless/Wireline Network Architectures Fixed Wireless Access (FWA) Deployment and Analytics RF and Fiber Network Planning and Performance Customer Engagement and Technical Presales Automation Frameworks and Closed Loop Operations Program Management and Cross Functional Leadership
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Uplers

<div>
 
 
 Senior Data Scientist + Instructor
 
 
 
 
 
 
 
 Experience:
 
 4 - 10 Years Exp
 
 
 
 Salary:
 
 Competitive
 
 
 
 Preferred Notice Period:
 
 Upto 30 Days
 
 
 
 Opportunity Type:
 
 Office (Pune)
 
 
 
 Placement Type:
 
 Full-time
 
 
 
 
 
 
 Note: This is a requirement for one of Uplers' Clients Newton School
 
 
 
 
 
 
 
 Must have skills:
 
 Machine Learning
 
 AND
 
 K-means
 
 AND
 
 Clustering
 
 
 
 
 
 
 About Newton School:
 
 
 
 Come be part of a rocket ship that&rsquo;s creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CRED&rsquo;s Kunal Shah, Flipkart&rsquo;s Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaan&rsquo;s Sujeet Kumar among others.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 <ul>
 <li>
 Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", &ldquo;Big Data&rdquo;, and &ldquo;Data Analytics&rdquo; courses, covering the full syllabus from foundational concepts to advanced techniques.
 </li>
 <li>
 Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.
 </li>
 <li>
 Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detection.
 </li>
 <li>
 Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.
 </li>
 <li>
 Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).
 </li>
 <li>
 Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).
 </li>
 <li>
 Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.
 </li>
 <li>
 Contribute to the academic and research environment of the department and the university.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
 </li>
 <li>
 Demonstrable 4-10 years of expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.
 </li>
 <li>
 Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
 </li>
 <li>
 Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.
 </li>
 <li>
 Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Experience in mentoring student teams for data science competitions or hackathons.
 </li>
 </ul>
 
 
 
 
 
 Perks &amp; Benefits:
 
 
 <ul>
 <li>
 Competitive salary packages aligned with industry standards.
 </li>
 <li>
 Access to state-of-the-art labs and classroom facilities.
 </li>
 <li>
 To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education!
 </li>
 </ul>
 
 
 
 
 
 How to apply for this opportunity?
 
 
 
 
 
 
 
 Easy 3 Step Process:
 
 
 <ul>
 <li>
 Click On Apply and register or log in to our portal
 </li>
 <li>
 Upload updated Resume &amp; complete the Screening Form
 </li>
 <li>
 Increase your chances of getting shortlisted &amp; meet the client for the Interview!
 </li>
 </ul>
 
 
 
 
 
 About Uplers:
 
 
 
 Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
 
 
 (Note: There are many more opportunities apart from this on the portal.)
 
 
 So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
 
</div>

Senior Data Scientist + Instructor

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

Data Scientist

Schaeffler

<div>
 Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
 
 
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Research and define analytical models based on given data/information as part of analytical ad hoc feasibility cases, proofs of concepts or with a focus on software development towards deployable analytics solutions.
 </li>
 <li>
 Collaborate with internal and/or external clients to understand business requirements.
 </li>
 <li>
 Compile, sort and organize function-specific information and data in preparation for subsequent analyses.
 </li>
 <li>
 Conduct both routine and instant data cleaning and testing, identify and resolve data quality issues in cooperation with the team.
 </li>
 <li>
 Analyze data for instant feasibility cases and proofs of concepts.
 </li>
 <li>
 Actively contribute in the research and definition of analytical models that will be transferred in the products eventually.
 
 
 </li>
 </ul>
 
 Your Qualifications
 
 
 
 <ul>
 <li>
 Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning
 </li>
 <li>
 5 to 6 years
 
 
 </li>
 </ul>
 As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
 
 
 Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
 
 
 www.schaeffler.com/careers
 
 
 
 Your Contact
 
 
 
 Schaeffler Technology Solutions India Pvt. Ltd.
 
 
 Kalyani More
 
 
 For technical questions, please contact this email address: technical-recruiting-support-AP@schaeffler.com
 
 
 Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization &amp; Information Technology;
</div>

Data Scientist - Junior

<div>
 
 Position Summary
 
 
 
 We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You&rsquo;ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation.
</div>

Assistant Manager-Data Science-Gen AI Engineer

Tata Communications

<div>
 
 About The Company
 
 
 
 Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications
 
 
 
 Position Summary
 
 
 
 We are seeking a highly motivated and experienced
 
 Process Consultant
 
 to drive efficiency and effectiveness across our IT organization&rsquo;s core business processes. This pivotal role requires a unique blend of process design expertise, rigorous business analysis, data analytics capabilities and experience on CRM tools. The successful candidate will be responsible for identifying critical process gaps, designing optimized future states, and measuring the quantifiable impact of those improvements to ensure maximum return on investment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Process Design and Optimization (The Core Function)
 </li>
 <li>
 Process Gap Analysis: Conduct deep-dive assessments using techniques like Value Stream Mapping (VSM) to analyze current state (As-Is) processes, identify bottlenecks, inefficiencies, and non-value-add steps.
 </li>
 <li>
 Future State Design: Design and document optimized target state (To-Be) processes utilizing industry standards and best practices.
 </li>
 <li>
 Solution Implementation: Collaborate with IT Development teams to translate optimized process flows into technical requirements for system implementation (e.g., in platforms like Salesforce, ServiceNow, etc.).
 </li>
 <li>
 CRM Focus: Lead optimization efforts across key CRM processes, including Lead-to-Cash, Sales Cloud, Service Cloud, and Marketing Automation workflows.
 </li>
 <li>
 Change Management: Lead workshops and training sessions to secure organizational buy-in and facilitate the adoption of new processes and tools.
 </li>
 <li>
 Business &amp; Data Analysis (Analytical Expertise)
 </li>
 <li>
 Requirements Elicitation: Function as a Senior Business Analyst, conducting stakeholder interviews, facilitating requirements gathering sessions, and translating complex business needs into clear, actionable functional specifications.
 </li>
 <li>
 Data Measurement &amp; Baselining: Establish baseline metrics and Key Performance Indicators (KPIs) for current processes, utilizing data extraction and analysis tools to quantify current state performance (e.g., cycle time, error rates, throughput).
 </li>
 <li>
 Impact Quantification: Develop and execute post-implementation measurement plans, providing data-driven reports on the realized business value and Return on Investment (ROI) of optimized processes to executive leadership.
 </li>
 <li>
 Stakeholder Engagement &amp; Leadership
 </li>
 <li>
 Act as the primary subject matter expert (SME) on process efficiency, advising senior management on strategic process improvements.
 </li>
 <li>
 Manage a pipeline of process improvement initiatives, prioritizing work based on strategic alignment and potential business impact.
 </li>
 <li>
 Document comprehensive Standard Operating Procedures (SOPs) and training materials for new processes.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Experience: Minimum of 7+ years of progressive experience in process design, business analysis, management consulting, or process improvement roles within an IT or Technology organization.
 </li>
 <li>
 Process Methodology: Proven proficiency and practical experience with industry methodologies such as Lean, Six Sigma, or Business Process Management (BPM).
 </li>
 <li>
 Analytical Skills: Demonstrated ability to analyze large datasets, identify trends, measure performance against KPIs, and present clear, data-driven conclusions.
 </li>
 <li>
 CRM Expertise: Deep practical experience and functional knowledge of Salesforce Sales Cloud and/or Service Cloud and related business processes (Lead-to-Cash lifecycle).
 </li>
 <li>
 Technical Proficiency: Advanced proficiency in process mapping tools (e.g., Visio, Lucidchart, Miro) and strong hands-on experience with data analysis and reporting tools (e.g., Excel, SQL, Power BI, or Tableau).
 </li>
 <li>
 Communication: Exceptional written and verbal communication skills, with a demonstrated ability to present complex technical concepts to non-technical executive audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Certification: Certified Lean Six Sigma Green Belt or Black Belt, CBAP (Certified Business Analysis Professional), or PMP (Project Management Professional) certification.
 </li>
 <li>
 Platform Knowledge: Direct experience working on process improvements related to large enterprise platforms (e.g., Salesforce, ServiceNow, SAP, Oracle).
 </li>
 <li>
 Experience operating within an Agile or DevOps environment.
 </li>
 </ul>
</div>

Manager - Global Sales Enablement

Future Market Insights, Inc.

<div>
 
 
 About FMI:-
 
 
 
 Future Market Insights (FMI) is a next-generation provider of syndicated research, customized research, and consulting services. FMI&rsquo;s global and regional market intelligence coverage includes industries such as pharmaceuticals, chemicals and materials, technology and media, food and beverages, and consumer goods, among others.
 
 
 Each FMI research report provides clients with a 360-degree view of the market with
 
 statistical forecasts, competitive landscape, detailed segmentation, key trends, and strategic recommendations.
 
 
 
 
 Company Websites:
 
 
 
 🔹 https://www.futuremarketinsights.com
 
 
 🔹 https://www.transparencymarketresearch.com
 
 
 🔹 https://factmr.com
 
 
 We are customarily engaged by
 
 Fortune 500 companies
 
 to support their strategic business decisions such as:
 
 <ul>
 <li>
 Penetrating a new market
 </li>
 <li>
 Identifying white spaces
 </li>
 <li>
 Launching a new product/service
 </li>
 <li>
 Tactical M&amp;As
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:-
 
 
 <ul>
 <li>
 Conduct in-depth
 
 market research and analysis
 
 across engineering, mechanical, and chemical domains.
 </li>
 <li>
 Collect and interpret data from primary and secondary research sources to prepare detailed market reports.
 </li>
 <li>
 Develop
 
 quantitative and qualitative insights
 
 &mdash;market sizing, forecasting, and trend analysis.
 </li>
 <li>
 Support report writing with data-driven insights, company profiling, and competitive benchmarking.
 </li>
 <li>
 Analyze supply chains, pricing trends, and product developments across industrial markets.
 </li>
 <li>
 Collaborate with senior analysts and consultants to deliver high-quality syndicated and custom research studies.
 </li>
 <li>
 Contribute to project timelines, maintain research accuracy, and ensure client-ready output.
 </li>
 <li>
 Present findings and insights clearly using structured data and visualization tools.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:-
 
 
 <ul>
 <li>
 
 Education:
 
 M.E./M.Tech/B.Tech in Mechanical, Chemical, or related Engineering disciplines, or M.Sc. in relevant fields ONLY.
 </li>
 <li>
 
 Experience:
 
 1&ndash;2 years of hands-on experience in
 
 market research or industry analysis
 
 (cross-domain exposure preferred).
 </li>
 <li>
 
 Must Have:
 
 Strong understanding of
 
 Market Estimation (ME) &amp; Forecasting methodologies done Individually
 
 .
 </li>
 <li>
 Excellent analytical, numerical, and problem-solving skills.
 </li>
 <li>
 Proficiency in data collection, validation, and secondary research techniques.
 </li>
 <li>
 Strong communication and report-writing skills.
 </li>
 <li>
 Advanced MS Excel and PowerPoint knowledge; familiarity with statistical tools is a plus.
 </li>
 <li>
 Ability to work under tight deadlines while maintaining data accuracy.
 </li>
 </ul>
 
 
</div>

Research Analyst

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