data science

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Data Science GenAI, NLP, Azure Foundry
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Analyst</div>
</div><div><div><b>Job Id</b></div>
<div>390266</div>
</div><div><div><b>Desired Skills</b></div>
<div>Data Science</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Data Science

Skill floor solutions

<p><b>Job Description: Data Science Trainer(Experienced candidate preferred)</b></p><p><b>Position Overview</b></p><p>We are seeking a passionate and knowledgeable Data Science Trainer to join our team. The ideal candidate will have extensive experience in the field of data science, including practical knowledge of data analysis, machine learning, and statistical modelling. The trainer will be responsible for designing and delivering comprehensive training programs that cater to the needs of students or professionals looking to enhance their skills in data science.</p><p><b>Key Responsibilities</b></p><ul><li><b>Training Delivery:</b> Conduct engaging and interactive training sessions on various data science topics, including but not limited to Python, R, SQL, machine learning, data visualization, and statistical analysis.</li><li><b>Curriculum Development:</b> Design and update course materials, including presentations, assignments, projects, and assessments to ensure they are current and relevant.</li><li><b>Hands-on Projects:</b> Develop practical, real-world projects and case studies to provide hands-on experience to learners.</li><li><b>Assessment &amp; Feedback:</b> Evaluate students&rsquo; progress through assignments, projects, and exams, providing constructive feedback to help them improve.</li><li><b>Stay Updated:</b> Keep abreast of the latest trends and technologies in data science to ensure the training content remains cutting-edge.</li><li><b>Mentorship:</b> Provide guidance and support to students, helping them with career advice, resume building, and interview preparation.</li><li><b>Collaboration:</b> Work closely with other trainers and team members to ensure a cohesive learning experience.</li></ul><p><b>Qualifications</b></p><ul><li><b>Educational Background:</b> Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field. Ph.D. is a plus.</li><li><b>Experience:</b> At least 1-3 years of hands-on experience in data science roles. Prior experience in teaching or training is highly desirable.</li><li><b>Technical Skills:</b> Proficiency in Python, R, SQL, and familiarity with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and Keras. Knowledge of data visualization tools like Tableau or Power BI is a plus.</li><li><b>Soft Skills:</b> Excellent communication and presentation skills. Ability to explain complex concepts in a simple and clear manner.</li><li><b>Certifications:</b> Relevant certifications (e.g., Certified Data Scientist, Microsoft Certified: Azure Data Scientist Associate) are an advantage.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹30,000.00 - ₹40,000.00 per month</p><p>Work Location: In person</p>

Data Science Trainer

L&L AI Solutions

<p><b>company</b><br/>L&amp;L AI Solutions operates as a trusted AI automation and technology partner for enterprises across industries like Retail, BFSI, Real Estate, Healthcare, and Telecom.<br/>We develop intelligent voice, chat, and workflow automation systems that help organizations scale seamlessly&mdash;reducing manual workloads by up to 70% and operating costs dramatically.<br/>also working on staffing</p><p><b>We're Hiring: DATA SCIENCE/Genai Trainer - AI &amp; Data Science - 50 position PAN INDIA</b></p><p><b>Transform Education. Shape the AI Future.</b></p><p>We're seeking an exceptional <b>Master Trainer</b> to lead cutting-edge AI &amp; Data Science training programs across engineering and non-engineering institutions nationwide.<br/><b>What You'll Do</b></p><p><b>Deliver World-Class Training:</b></p><ul><li>Teach AI, Machine Learning, Deep Learning, Computer Vision, NLP &amp; Generative AI</li><li>Cover Python, Power BI, Excel, ChatGPT, Copilot, and AI Ethics</li><li>Mentor students and faculty through hands-on projects, live coding, and real-world case studies</li></ul><p><b>Make Real Impact:</b></p><ul><li>Empower technical &amp; non-technical learners with industry-ready skills</li><li>Build AI literacy from foundations to advanced topics (LLMs, transformers, AI security)</li><li>Guide learners on AI integration, data analytics, and responsible AI practices</li></ul><p><b>What We're Looking For</b></p><p><b>Education:</b></p><ul><li>B.E/B.Tech/M.Tech/MCA/Ph.D in CS, IT, Data Science, or related field</li></ul><p><b>Experience (1-4 years):</b></p><ul><li>Python (NumPy, Pandas, TensorFlow, Streamlit, Flask)</li><li>ML/DL (classification, CNN, RNN, model deployment)</li><li>Data Analytics (Excel, Power BI dashboards)</li><li>AI Tools (ChatGPT, Gemini, Copilot, Hugging Face)</li><li>Teaching/mentoring technical &amp; non-technical audiences</li></ul><p><b>Technical Stack:</b></p><ul><li>Programming: Python, SQL, Django, Streamlit</li><li>AI/ML: TensorFlow, PyTorch, Scikit-learn, OpenCV, NLP</li><li>Analytics: Power BI, Excel advanced visualization</li><li>Tools: VS Code, Jupyter, Anaconda, MySQL Workbench</li></ul><p><b>Soft Skills:</b></p><ul><li>Exceptional communication &amp; presentation</li><li>Classroom management &amp; learner engagement</li><li>Ability to simplify complex AI concepts for diverse audiences</li></ul><p>*</p><ul><li><b>Bonus Points</b></li><li>AI/ML/Power BI certifications</li><li>MLOps, Docker/Kubernetes experience</li><li>Instructional Design or LMS delivery exposure</li></ul><p><b>Location &amp; Travel</b></p><ul><li>Multiple locations as per program requirements</li><li>Willingness to travel for workshops and training sessions</li></ul><p><b>What Makes This Role Unique</b></p><ul><li>Shape the next generation of AI professionals</li><li>Work on <b>Generative AI, LLMs, Computer Vision &amp; NLP</b> at scale</li><li>Deliver programs covering <b>AI Ethics, Security &amp; Business Applications</b></li><li>Collaborate with curriculum designers and industry experts</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹350,000.00 - ₹900,000.00 per year</p><p>Benefits:</p><ul><li>Commuter assistance</li><li>Health insurance</li><li>Internet reimbursement</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul><p>Work Location: On the road</p>

Envision Employment Solutions

<p><b>Envision Employment Solutions</b> is currently hiring a <b>Data Science Manager</b> on behalf of one of our partners, a leader in the retail Motor Vehicles field.</p> Job Summary <p>As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.</p> Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a <b>PLUS</b>.</li> </ul>

Data Science Manager

Reckitt

<div></div><div><div><div><div>Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.</div></div><div><div><h2 class="jobSectionHeader"><b>
Sales
</b></h2></div><div><p>Our Sales &amp; E-Commerce teams help to deliver Reckitt's purpose by building shared success with our customers, making access to the highest quality hygiene, wellness, and nourishment possible in-stores and online. Within Sales, we're focused on achieving outperformance across all of our channels, operating in highly competitive categories. This focus results in a dynamic, fast paced environment where cross functional teams are encouraged to collaborate to achieve success. We have around 10,000 sales people across the world, within market roles and ranging in areas like Field Sales, Key Accounts, Trade Marketing and Category Development.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
</div><div><p>
We are a data-first organization, placing analytics at the heart of decision-making to empower business leaders with the insights they need to drive growth and performance. In this role, you will be part of a dynamic, cross-functional team focused on transforming data into strategic advantage across our eCommerce ecosystem.<br>
Your leadership will be instrumental in embedding data and AI into everyday business processes, enabling smarter decisions and delivering measurable impact. You will collaborate closely with business leaders, data scientists, and engineers to ensure seamless integration across the data value chain&mdash;from data collection and modeling to analysis, reporting, and experimentation.<br>
We position consumer data and insights at the core of our ways of working, and this role will be pivotal in shaping how we use data to understand consumer behavior, optimize digital marketing investments, and drive commercial outcomes. You will lead a team of analysts and developers, using the full suite of AI and analytics capabilities to solve real business problems with a strong focus on ROI.<br>
This is an exciting opportunity for someone who is inquisitive, entrepreneurial, and passionate about using data to unlock growth in a fast-moving, consumer-centric industry.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your responsibilities</b></h2>
</div><div><ul><li>Deliver complex insight use cases through compelling visualizations and narratives, translating analytical findings into actionable business outcomes.</li>
<li>Analyze consumer sales patterns and digital marketing performance to optimize spend and recommend data-driven actions that improve ROI.</li>
<li>Build and optimize machine learning models using regression and gradient boosting techniques (e.g., XGBoost, LightGBM), with a strong grasp of explainable ML to interpret model drivers and parameter weights.</li>
<li>Design and deploy elasticity and price optimization models to inform pricing and promotional strategies across digital channels.</li>
<li>Create innovative AI use cases that solve business problems and deliver measurable impact.</li>
<li>Design, implement, and manage experimental frameworks (e.g., A/B testing) to validate new ideas and guide continuous improvement.</li>
<li>Lead the development and enhancement of eCommerce dashboards, ensuring they remain the central hub for decision-making across teams.</li>
<li>Manage and mentor a team of data analysts and BI developers, ensuring clear task ownership, domain expertise, and timely delivery of high-quality insights.</li>
<li>Develop and execute a BI and digital transformation strategy, integrating internal and external data sources to build a comprehensive market model and scalable insights channels.</li>
<li>Champion a culture of data-driven decision-making, empowering teams with the tools, insights, and mindset needed to drive performance.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>The experience we're looking for</b></h2>
</div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.</li>
<li>Minimum 6+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.</li>
<li>Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.</li>
<li>Hands-on experience in building and deploying elasticity and price optimization models.</li>
<li>Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.</li>
<li>A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.</li>
<li>Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>The skills for success</b></h2>
</div><div>Ecommerce, Analysing sales and Ecommerce data.</div></div><div><div><h2 class="jobSectionHeader"><b>
What we offer</b></h2>
</div><div>With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.</div></div><div><div><h2 class="jobSectionHeader"><b>
Equality</b></h2>
</div><div>We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.</div></div></div></div>

Bully Pulpit Interactive

<div><p>Bully Pulpit International is an outcomes agency made up of strategists, data scientists, and artists. We come from politics, brands, and government and we communicate without barriers and measure what matters. We have more than 350 team members in six countries and thirteen offices &mdash; Berlin, Brussels, Chicago, D.C., London, Los Angeles, New York, Oslo, San Francisco, and Z&uuml;rich. We apply our unique expertise across strategic communications, public affairs, research, and digital marketing to create sophisticated and customized strategies that make change possible for both American and European clients.</p><p></p><ul>
<li><b>
Salary range: $125,000 - $165,000</b></li>
<li><b>Location: Expectation to work from DC, New York, Chicago, SF or LA offices at least 3 days a week</b></li>
</ul><p></p><p><b>
The Impact You Will Make</b></p><p>
In this role, you&rsquo;ll oversee analytics and data science work across some of our biggest clients and help develop new data-driven solutions to power more effective campaigns across advertising and strategic communications.</p><p>
You&rsquo;ll lead targeting and measurement work across the entire lifecycle of campaigns, managing the work from our data science team and serving as a strategic counselor to both internal teams and our clients. You&rsquo;ll use audience data to define the right audiences for media campaigns to target, integrate findings from message research into our analytics approach, use survey data from our Vantage product to understand what works to persuade people in those campaigns, and work with Decibel, our competitive tracking product, to help our clients understand what their peers and competitors are doing and saying.</p><p>
You&rsquo;ll also lead projects that bring new capabilities or advance existing capabilities using analytics like predictive analytics and modeling. You&rsquo;ll evaluate new data sources, map them to business problems, and use them to find new ways to power our work across advertising and strategic communications. Alongside that work, you&rsquo;ll help set the pace for our team on using LLMs and other AI tools to help us work smarter and faster.</p><p></p><p><b>
What the Day-to-Day Looks Like</b></p><ul>
<li>
Manage and oversee targeting, measurement, and competitive intelligence work across multiple clients, overseeing the team members executing the work and driving a clear, actionable perspective on how to improve campaigns</li>
<li>Act as a strategic partner to our clients and internal teams, synthesizing data from our work and other sources to set, measure, and optimize campaign strategy and translating complex methodologies and insights into digestible client-ready deliverables</li>
<li>Lead projects that use machine learning / predictive modeling and other analytics tools to improve our product offering, working with our Labs team</li>
<li>Evaluate new data sources and tools and work with our Labs team to implement them to improve our work</li>
<li>Experiment with new tools like generative AI to responsibly improve the depth and efficiency of our current workflows and identify opportunities to improve them</li>
<li>Partner with other internal teams to make our work more actionable and interpretable</li>
</ul><p></p><p><b>
Requirements</b></p><p><b>
What You Bring</b></p><ul>
<li>
8+ years of analytics and data science experience. Experience with corporate public affairs or political campaigns strongly preferred.</li>
<li>Demonstrated expertise using R or Python to analyze datasets and present them in memos / decks and using SQL to analyze data at scale in data warehouses like Snowflake. You have strong opinions about how to write an effective analysis script because you&rsquo;ve written a lot of them to solve business problems and you can teach others to work at that level.</li>
<li>Experience with paid media or strategic communications campaigns. You&rsquo;ve seen communications work up close and you have a perspective on what good campaigns look like in the 2026 media environment.</li>
<li>A keen eye for detail and visual polish to build client-facing decks and memos that translate complicated data and analytics for non-technical clients and other stakeholders</li>
<li>Expertise leading projects that use statistical modeling, predictive analytics, and/or causal inference. You can find the right statistical or analytical tool for the job at hand, work through the data with that approach, and then explain the results in client-facing language.</li>
<li>Proficiency in explaining and translating analytics results for non-technical audiences to help improve their day-to-day work and optimize campaigns</li>
<li>Intellectually curious with a strong sense of data intuition and critical thinking. You think in first principles and are able to spot discrepancies in a data set from a mile away.</li>
<li>A product-focused mindset. After you&rsquo;ve done a task for the first time, you can articulate a plan to scale and systematize it across a team and you&rsquo;re excited to work with other teams to lay out the blueprint for systems that scale.</li>
</ul><p><b>
Benefits</b></p><p>
BPI offers a wide range of benefits to U.S.-based employees, including <b>100% company-paid medical, dental, and vision insurance, a 401(k) program with employer match up to 4%, generous time off for vacation, $50 monthly phone reimbursement, unlimited sick time, and 16 weeks of paid leave for new parents</b>. BPI&rsquo;s benefits prioritize employee wellness and progressive support to our diverse workforce.</p><p><b><i>
We&rsquo;re looking for all kinds of people.</i></b></p><p><i>
BPI Group is an integrated public affairs agency that delivers outcomes for the top organizations and leaders around the world. With expertise in strategic communications, digital marketing, creative, research, and measurement, we offer a cohesive approach across corporate, policy, and public affairs strategy in today&rsquo;s interconnected world. By combining incisive strategy and deep tactical expertise, we make change possible. Our transatlantic presence includes offices across eleven markets in the US and Europe.</i></p><p><i>
We are an equal opportunity employer and make employment decisions based on individual commitment to excellence. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</i><br>
<br>
<i>BPI is dedicated to building an inclusive, diverse, equitable, and accessible workplace that fosters a sense of belonging &ndash; so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, </i><i>we encourage you to still consider submitting an application</i><i>. We consider applications holistically and you may be just the right candidate for this role or another one of our openings!</i></p><p><i>
Let&rsquo;s keep in touch. Follow us on </i>LinkedIn<i> and </i>Twitter <i>at </i>bpigroup.com</p></div>

Director, Data Science

ProcDNA

<div><div><p><b>Job Overview
</b></p><p>As a Data Scientist, you will play a key role in delivering end-to-end data science solutions across pharmaceutical and healthcare engagements. The role demands a blend of technical depth, business acumen, and scientific curiosity. You will translate complex business problems into analytical frameworks, develop scalable machine learning and statistical solutions, and generate actionable insights that drive commercial, clinical, and operational impact for clients and patients worldwide. Beyond technical execution, you are expected to think strategically, framing business challenges, designing analytical approaches, and guiding clients toward the most effective data-driven decisions.<br>
</p><div></div><p><b>Key Responsibilities
</b></p><ul><li>Own day-to-day execution of data science projects from problem definition to deployment, ensuring methodological rigor, business relevance, and timely delivery
</li><li>Build, tune, and validate advanced machine learning and statistical models, including supervised techniques (classification, regression, uplift), unsupervised methods (clustering, PCA, GMM), transformer models, and analytical frameworks (hypothesis testing, causal inference, survival analysis) using industry-standard libraries
</li><li>Develop clean, modular, and production-ready code with reusable components, adhering to best practices in version control, documentation, and scalable pipeline design for deployment in production or client-facing environments
</li><li>Synthesize insights from diverse data sources, including claims, prescription (LAAD), lab, EMR, and unstructured text, into clear narratives driving client decisions tailored to patient, HCP, and market contexts
</li><li>Collaborate with consultants, domain experts, and engineers to structure analytical workflows that answer complex commercial or clinical questions.
</li><li>Present findings and insights to internal and client stakeholders in a clear, structured, and actionable manner.
</li><li>Actively participate in client discussions, supporting solution development and storyboarding for business audiences
</li>Contribute to internal capability building through reusable ML assets, accelerators, and documentation to strengthen the team&acirc;&euro;&trade;s solution portfolio.<br>
<li>
</li></ul><div></div><p><b>Required Skills
</b></p><ul><li>Strong hands-on experience in Python, PySpark, and SQL for manipulating and handling large structured and unstructured datasets.
</li><li>Strong foundation in machine learning algorithms, feature engineering, model tuning, and evaluation techniques
</li><li>Proficiency in <b>data visualization </b>(Power BI, Tableau, MS Office suite or equivalent) and in translating analytical results effectively.
</li><li>Ability to structure ambiguous business problems, design analytical roadmaps, and communicate insights effectively to both technical and non-technical stakeholders.
</li>Strong collaboration and project-management skills for coordinating across multi-disciplinary teams.<br>
<li>
</li></ul><div></div><p><b>Preferred Skills
</b></p><ul><li>Prior experience in the pharmaceutical or life sciences industry, with familiarity across structured data sources such as LAAD, Lab, Sales, and unstructured datasets (e.g., market research, physician notes, publications).
</li><li>Experience with R, Rshiny, and data platforms such as Databricks, AWS, Azure, or Snowflake is an advantage.
</li><li>Exposure to MLOps frameworks, including MLflow, Docker, Airflow, or CI/CD pipelines, to automate model training, deployment, and monitoring in scalable production environments.
</li><li>Experience mentoring junior analysts or collaborating in cross-functional data science teams.
</li><li><b>Qualifications
</b></li></ul><ul><li>Bachelor&acirc;&euro;&trade;s or Master&acirc;&euro;&trade;s degree in Computer Science, Statistics, Mathematics, Data Science, or related fields.
</li><li>4-6 years of professional experience in data science, analytics, or advanced modeling roles
</li><li>Proven ability to balance analytical rigor with business understanding, delivering models that are explainable, actionable, and production-ready</li></ul></div></div>

Data Science - II

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