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senior data scientist

Techversant Infotech

<div><div>What&rsquo;s important to us:

We are seeking an experienced Senior Data Scientist Engineer to lead the design and development of advanced data systems that drive analytics, machine learning, and business intelligence. The ideal candidate has deep expertise in both data engineering and data science&mdash;skilled in handling complex datasets, building scalable predictive models, and delivering actionable insights that shape strategic decisions across the organization.

Key Responsibilities:
<ul>
<li>Data mining or extracting usable data from valuable data sources</li>
<li>Using machine learning tools to select features, create and optimize classifiers</li>
<li>Carrying out the preprocessing of structured and unstructured data</li>
<li>Enhancing data collection procedures to include all relevant information for developing analytic systems</li>
<li>Processing, cleansing, and validating the integrity of data to be used for analysis</li>
<li>Analyzing large amounts of information to find patterns and solutions</li>
<li>Developing prediction systems and machine learning algorithms</li>
<li>Presenting results in a clear manner</li>
<li>Propose solutions and strategies to tackle business challenges</li>
<li>Collaborate with Business and IT teams</li>
</ul><h3 class="jobSectionHeader">Preferred Skills</h3>
<ul><li>Programming Skills &ndash; knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.</li>
<li>5+ yrs of experience as a data scientist.</li>
<li>Familiarity with Scala, Java, or C++ is an added advantage.</li>
<li>Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.</li>
<li>Proficiency in statistics is essential for data-driven companies.</li>
<li>Machine Learning &ndash; good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.</li>
<li>Strong Math Skills (Multivariable Calculus and Linear Algebra) &ndash; understanding the fundamentals of multivariable Calculus and Linear</li>
<li>Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.</li>
<li>Data Wrangling &ndash; proficiency in handling imperfections in data is an important aspect of a data scientist job description.</li>
<li>Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data</li>
<li>Excellent Communication Skills &ndash; it is incredibly important to describe findings to a technical and non-technical audience.</li>
<li>Strong Software Engineering Background.</li>
<li>Hands-on experience with data science tools.</li>
<li>Problem-solving aptitude.</li>
<li>Analytical mind and great business sense.</li>
<li>Degree in Computer Science, Engineering or relevant field is preferred.</li>
<li>Proven Experience as Data Analyst or Data Scientist.</li>
</ul>
What Company Offers:

Excellent career growth opportunities and exposure to multiple technologies. 
Fixed weekday day schedule, meaning, you&rsquo;ll have your weekends off! 
Family Medical Insurance. 
Unique leave benefits and encashment options based on performance. 
Long term growth opportunities. 
Fun family environment surrounded by experienced developers. 
Various internal employee rewards programs based on Performance. 
Opportunities for various other Bonus programs &ndash; for training hours taken, certifications, special value to business through idea and innovation. 
Work life Balance &ndash; flexible work timings, early out Fridays, various social and cultural activities etc.

Company Sponsored International Tours.
</div>
<div><div><div><div>Job Category: Data Science
</div><div>Job Type: Full Time
</div><div>Job Location: Kochi Trivandrum</div></div></div></div></div>

Senior Data Scientist

Prodapt Solutions

Overview: 
We are looking for a seasoned Senior Data Scientist with 12+ years of experience in advanced analytics, machine learning, and strategic data initiatives. This role demands deep technical expertise, leadership in experimentation, and the ability to influence cross-functional teams through data-driven insights. Industry experience in financial services or eCommerce is highly desirable.
 
Location: Chennai, India
 
Responsibilities: 
bachelor’s or master’s degree in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience.
 
Analytical Expertise: 12+ years in an analytical role with a proven record as a data scientist, or applied ML. Strong knowledge of data matching, record linkage, or entity resolution techniques. Comfortable performing statistical validation of models or rule-based outputs (e.g., sampling strategies, calculating precision/recall/coverage).
 
Technical Skills: Proficiency in databases, spreadsheets, and statistical tools, with advanced expertise in SQL, Python, data mining, and BigQuery analytics (Google Cloud).
 
Requirements: 
Data Storytelling: Ability to synthesize complex data into clear, actionable insights and compelling narratives.
 
Large-Scale Data Handling: Experience working with large, multi-dimensional datasets and solving complex analytical challenges.
 
Problem-Solving: Strong analytical and problem-solving abilities, with the capability to translate findings into actionable recommendations.
 
Industry Knowledge (Preferred): Experience in payments, eCommerce, or financial services is a plus. Experience designing or maintaining rule-based systems (fuzzy matching, regex, lookup tables, etc.). Familiarity with MDM tools/platforms or prior experience with master data systems.
 
Experimentation & Insights (Preferred): Extensive experience in designing, executing, and analyzing experiments for product and feature launches.
 
Communication & Influence: Strong written and verbal communication skills, with the ability to distill complex concepts into clear, persuasive insights

Microsoft

<div>We are seeking a passionate and technically skilled Senior Data Scientist to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
As a Senior Data Scientist in PDX, you will be responsible for conducting applied research and development in the areas of anomaly detection, forecasting, recommendation systems and privacy preserving AI and build prototypes as well as take the algorithms all the way to production &ndash; this covers all the ML engineering aspects end-to-end including algorithm development, coding and building prototypes as well as the production-grade ML sub-systems.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Conduct original research into the areas of forecasting, anomaly detection, recommendation systems as well as privacy preserving ML/AI and agentic AI. Disseminate the research findings by publishing in top conferences such as NeurIPS, AAAI, CVPR, ICML, ICLR, etc.</li><li>
Build scalable machine learning models as part of the Commerce Platform that would act as the foundation for insights across the Commerce Platform.</li><li>
Define the scientific vision for ML/AI in the commerce platform.</li><li>
Partner with engineering and product teams to deliver business impact powered by ML Models, ensuring the models built are operable, scalable, extensible and performant.</li><li>
Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.</li><li>
Lead experimentation efforts to evaluate new features, forecasting, data quality, and anomaly detection systems.</li><li>
Be a champion of responsible AI development and ensure the necessary guardrails are put in place to ensure fairness, accountability and transparency of AI/ML models</li><li>
Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree (PhD preferred) in Computer Science, Statistics, Mathematics, or related field from top institutes in India or abroad.</li><li>
12 years of experience (for Bachelor&rsquo;s degree) in applied machine learning R&amp;D or in allied areas such as statistics, andAI, 9 years for Masters and 5 years for PhD.</li><li>
Top tier publications in ML &ndash; conferences such as NeurIPS, AAAI, ICML, ICLR, CVPR etc.</li><li>
Experience with ML frameworks, cloud platforms (Azure preferred) and big data technologies.</li><li>
Strong understanding of statistical modeling, predictive analytics, and experimentation design.</li><li>
Excellent communication and stakeholder management skills.</li><li>
Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.</li></ul><div></div><div> 
#CPXJOBS</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Hiringplug

Job DescriptionWe are seeking a highly skilled Senior Data Scientist to join our digital transformation team. The ideal candidate will have hands-on experience with model development and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale.This role blends analytical rigor with innovative model building and maintenance, ensuring both operational excellence and strategic customer growth.Key Responsibilities1. Model Development<ul><li>Design, build, and deploy machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction &amp; retention, campaign performance and other business use cases.</li></ul>Contribute to building models for various use cases such as Revenue Management System, Customer 360, etc.<ul><li>Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to business stakeholders.</li><li>Translate model insights into actionable marketing strategies that enhance ROI and customer experience.</li><li>Collaborate with cross-functional teams including Martech, digital, and commercial teams to operationalize models into platforms and workflows.</li><li>Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and business value.</li></ul>2. Deep QA Model Validation<ul><li>Validate existing models applying end-to-end QA checks before sign-off.</li></ul>Assess data ingestion, schema integrity, feature engineering, and label quality for business alignment.Evaluate model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration.<ul><li>Document all findings, anomalies, and improvement opportunities.</li><li>Support development of dashboards and reports to track validation progress, outcomes, and risks.</li><li>Ensure every module is accurate, reliable, and business-aligned prior to deployment.</li></ul>Required QualificationsMaster&rsquo;s degree in Data Science, Statistics, Computer Science, or related field.4 to 6 years of experience in data science, model validation, and applied machine learning.Proven expertise in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch).Experience with QA and drift monitoring frameworks for ML models.Familiarity with big data platforms and cloud ecosystems such as Databricks, Spark, Snowflake/AWS/Azure/GCP.<ul><li>Strong communication skills to convey complex insights to both technical and business stakeholders.</li></ul>Experience leading junior data scientists.<ul><li>Detail-oriented with a structured approach to QA, documentation, reporting, and dashboarding.</li></ul>Job Types: Full-time, PermanentPay: &#8377;2,500,000.00 - &#8377;3,500,000.00 per yearWork Location: In person

Acronotics

BriefWe are seeking a Data Scientist to lead the predictive analytics and forecasting in our projects The candidate will design, build, and deploy machine learning models that predict financial KPIs, simulate market scenarios, and generate forward-looking insights by merging internal financial and external market data sources. Top candidates will also be excellent leaders and communicatorsThis role involves working with Azure AI Foundry, OpenAI, RAG pipelines, and enterprise datasets (Structured like Power BI and unstructured like Legal contracts) to deliver solutions.Responsibilities&middot; Develop and implement forecasting and simulation models for financial KPIs (e.g., EBITDA, revenue, cost drivers, FX exposure).&middot; Integrate and preprocess structured (Power BI datasets, OLAP cubes) and semi-structured (FastMarkets, Excel, PPTs) data.&middot; Design what-if analysis frameworks to assess the impact of external market changes (e.g., commodity prices, FX rates, carbon credit prices).&middot; Work closely with AI engineers to embed predictive models into the Copilot interface (web and Teams).&middot; Evaluate and fine-tune model performance using appropriate metrics and business validation.&middot; Collaborate with financial analysts and business SMEs to interpret predictions and ensure model explainability.&middot; Document model architecture, data pipelines, and assumptions for audit and reproducibility.Requirements&middot; 4&ndash;6 years of experience as a Data Scientist, ideally in financial analytics, forecasting, or risk modelling.&middot; Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or a related quantitative field.&middot; Strong command of Python (NumPy, Pandas, scikit-learn, statsmodels, PyTorch or TensorFlow).&middot; Proven experience with time-series forecasting models (ARIMA, Prophet, LSTM, regression-based forecasting).&middot; Experience working with Power BI datasets and SQL/OLAP data sources.&middot; Proficiency in data cleaning, feature engineering, and model evaluation for numeric KPIs.&middot; Experience in Azure ecosystem (Azure Machine Learning, Azure AI Foundry, Data Lake, or Synapse) preferred.&middot; Experience in Azure ML pipeline deployment.&middot; Understanding of financial KPIs, statements, and variance analysis (preferred from manufacturing or commodities domain).&middot; Familiarity with LLM-integrated analytics (RAG, Azure OpenAI) is a plus.&middot; Excellent communication and documentation skills; ability to explain technical results to business users.Job Types: Full-time, PermanentPay: &#8377;2,000,000.00 - &#8377;2,500,000.00 per yearBenefits:<ul><li>Flexible schedule</li><li>Paid time off</li><li>Provident Fund</li></ul>Work Location: In person

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>

<div>
 Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!
 
 
 The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
 
 
 We work closely with our customers&rsquo; engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
 
 
 We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
 
 
 As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will acquire the data necessary for your project plan and develop usable data sets for modeling. You&rsquo;ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.
 </li>
 <li>
 You will evaluate your team&rsquo;s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You&rsquo;ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
 </li>
 <li>
 You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You&rsquo;ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.
 </li>
 <li>
 You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You&rsquo;ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations.
 </li>
 <li>
 You will embody our culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications (RQs/MQs)
 
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR equivalent experience.
 </li>
 <li>
 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results
 </li>
 <li>
 OR equivalent experience.
 </li>
 <li>
 Enjoy travel and are comfortable with travel up to 25%
 
 
 </li>
 </ul>
 Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
 
 
 At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.  It&rsquo;s an informal and flexible work environment and you&rsquo;ll be welcome to work in the way that best enables you to get your job done.
 
 
 We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
 
 
 #ISEngineering
 
 
 #WSS
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

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