data analyst

associate consultant

analyst

senior ai scientist

analyst engineer

associate scientist analytical team sarc pd

Syngene International Limited

<div>
 Date: 1 Dec 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Dedicated Centre
 
 
 
 Job Title: Process Analytics (Analytical Team &ndash; SARC PD)
 
 
 
 
 Job Location: Bangalore
 
 
 
 
 About Syngene :
 
 Syngene (www.syngeneintl.com) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply.
 
 
 
 At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures, and SOPs, in letter and spirit
 
 
 
 
 Mandatory expectation for all roles as per Syngene safety guidelines
 
 
 
 <ul>
 <li>
 Overall adherence to safe practices and procedures of oneself and the teams aligned
 </li>
 <li>
 Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company&rsquo;s integrity &amp; quality standards
 </li>
 <li>
 Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times.
 </li>
 <li>
 Ensuring safety of self, teams, and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace.
 </li>
 <li>
 Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self
 </li>
 <li>
 Compliance to Syngene&rsquo; s quality standards at all times
 
 
 </li>
 </ul>
 
 Core Purpose Of The Role
 
 
 
 Analytical development activities supporting process development.
 
 
 
 Role Accountabilities
 
 
 
 <ul>
 <li>
 Method development, Method evaluation and validation of analytical methods.
 </li>
 <li>
 Handling of HPLC, GC, GCMS and LCMS instruments for allotted projects.
 </li>
 <li>
 Handling of KF instrument for check the moisture content for raw materials, solvents, and product.
 </li>
 <li>
 Record the observations of experiment/ activities, results, utilization of resources and other analytical activities related to the experiment in LNB or ELNB following guidelines and in timely manner and ensure that the same is handled safely and confidentially.
 </li>
 <li>
 Adherence to all good documentation procedures and data integrity policies.
 </li>
 <li>
 Ensure there is no violation of any environment, health, safety, and sustainability (EHSS) requirements always in the workplace ensuring individual and lab / plant safety.
 </li>
 <li>
 As an employee of Syngene, must understand that besides functional deliverables also responsible for ensuring safe operations, and adherence to standards of quality and integrity set by Syngene from time to time. Considering the above, accountable for the following.
 </li>
 <li>
 Understanding and demonstrating responsibility for safety of self &amp; colleagues by following all safety protocols provided by Syngene
 </li>
 <li>
 Adherence to all environment, health, and safety (EHS) policies &amp; standards at all times in the workplace
 </li>
 <li>
 Wearing all PPE as required.
 </li>
 <li>
 Adherence to all procedures related to Syngene data integrity policies
 </li>
 <li>
 Compliance to Syngene&rsquo; s quality standards at all times.
 </li>
 <li>
 To acknowledge that carefully read the above and fully understand the requirements set forth herein. Should adhere to the terms and conditions stated above failing which agreed to take responsibility for my actions / lack of it.
 
 
 </li>
 </ul>
 
 Syngene Values
 
 
 
 All employees will consistently demonstrate alignment with our core values
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Integrity
 </li>
 <li>
 Professionalism
 
 
 </li>
 </ul>
 
 Demonstrated Capability
 
 
 
 
 Specific requirements for this role
 
 
 
 <ul>
 <li>
 Good knowledge in Analytical chemistry
 </li>
 <li>
 Analytical data interpretation skills
 </li>
 <li>
 Good written and verbal communication skills.
 </li>
 <li>
 Experience in handling pXRD, and PSD.
 
 
 </li>
 </ul>
 Education: MSc. / M. Pharm with experience in Analytical development activities supporting process development in an industry setting.
 
 
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.
</div>

Associate Scientist (Analytical Team – SARC PD)

Definitive Healthcare

<div>
 Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what&rsquo;s now to what&rsquo;s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we&rsquo;d love to hear from you.
 
 
 
 Role
 
 : Data Scientist / Senior Data Scientist
 
 
 
 Reports to
 
 : Associate Principal / Principal
 
 
 
 Profession
 
 : Data Science
 
 
 
 Office Location
 
 : Bangalore
 
 
 
 Job Description
 
 
 
 This position requires strong coding skills and experience in data handling and wrangling using Python. The candidate will work hands-on with projects in areas such as advanced analytics, generating reports and metrics from large, complex datasets, and solution workbenches. The role involves using a wide range of quantitative and analytical techniques to support clients in improving their business decisions.
 
 
 Additionally, the candidate will be involved in sales and marketing projects, including multi-channel marketing effectiveness, campaign performance analysis, marketing mix modeling, attribution, conversion rate optimization, segmentation, response modeling, and designing experiments (test/control analysis).
 
 
 The ideal candidate should have the ability to understand business contexts and apply relevant statistical and AI/ML tools and techniques to assigned projects. They should also have a keen aptitude for deriving insights from data, a willingness to learn data-handling tools and methods, and an openness to working within the healthcare domain. Familiarity with, or the ability to quickly learn, quantitative and analytical techniques to aid client decision-making is essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise in custom projects focused on prescription and claims-based reporting and modeling using
 </li>
 <li>
 Partner with the Product and Customer Success teams to deliver informed analyses to customers.
 </li>
 <li>
 Create deliverables to assist with customer engagements.
 </li>
 <li>
 Collaborate with fellow team members to implement optimized solutions.
 </li>
 <li>
 Contribute to internal projects and processes.
 </li>
 <li>
 Collaborate with global team to create deliverables.
 </li>
 <li>
 Mentor junior analysts and help drive best practices.
 </li>
 <li>
 Independently scope client requests
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Experts with approximately 2 - 5 years of experience specializing in Python
 </li>
 <li>
 Educational background in Engineering, Operations Research, Econometrics and/or Statistics
 </li>
 <li>
 Hands-on experience with Python is mandatory.
 </li>
 <li>
 Must possess good interpersonal skills along with excellent presentation and communication skills.
 </li>
 <li>
 Proficient in Microsoft Excel and SQL.
 </li>
 <li>
 Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement.
 </li>
 <li>
 Knowledge of Pharma datasets is good to have.
 
 
 </li>
 </ul>
 
 ISMS Responsibilities
 
 
 
 <ul>
 <li>
 Comply with information security policies and processes
 </li>
 <li>
 Report security weaknesses, events or potential events, or other security risks, to the organization
 </li>
 <li>
 Execute all tasks related to information security management system as appropriate
 
 
 </li>
 </ul>
 
 Why we love Analytical Wizards, and why you will too!
 
 
 
 <ul>
 <li>
 Industry leading products
 </li>
 <li>
 Work hard, and have fun doing it
 </li>
 <li>
 Incredibly fast growth means limitless opportunity
 </li>
 <li>
 Flexible and dynamic culture
 </li>
 <li>
 Work alongside some of the most talented and dedicated teammates
 </li>
 <li>
 A collaborative and friendly culture with very high employee engagement
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 <ul>
 <li>
 Company Name: AnalyticalWizards Services Pvt. Ltd.
 </li>
 <li>
 Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.
 </li>
 <li>
 Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning
 </li>
 <li>
 Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068
 </li>
 <li>
 Industry: Software Development and Data Science
 </li>
 </ul>
</div>

Data Scientist/Sr. Data Scientist-Data Science-AA&I

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Data, Analytics &amp; AI
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
 
 
 
 
 *Why PWC
 
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more
 
 &nbsp;
 
 
 
 
 about us
 
 
 
 .
 
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
 
 
 Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 Responsibilities:
 
 
 Data Scientist (AI/ML) / Senior Associate Experience: 3- 6 Years Location: Bangalore Type: Full Time Certifications: NA About the Role: We are seeking an experienced Data Scientist (AI/ML) with over 3-6 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. This is a position with hybrid work environment, providing flexibility and collaboration opportunities. The successful candidate will play a pivotal role in shaping and leading AI/ML initiatives within our organization. Key Responsibilities: &middot; Lead and manage AI/ML projects from inception to completion, ensuring alignment with business goals and timelines. &middot; Collaborate with cross-functional teams to design and implement AI/ML solutions. &middot; Drive innovation by identifying opportunities to leverage AI/ML technologies for business improvement. &middot; Establish best practices and frameworks for AI/ML development and deployment. &middot; Manage and mentor team members, fostering a culture of learning and excellence. &middot; Monitor and evaluate project performance, ensuring the delivery of high-quality results. Required Skills: &middot; At least 3+ years of total &amp; relevant experience in AI/ML or a related field. &middot; Proven track record of successfully managing AI/ML projects and teams. &middot; Strong technical expertise in AI/ML models, algorithms, and tools. &middot; Experience working in hybrid work environments is a plus. &middot; Experience with building highly scalable, secure, and fault tolerant microservices.
 
 
 Preferred Qualifications: &middot; prior experience in industries leveraging AI/ML technologies would be advantageous.
 
 
 
 Mandatory skill sets:
 
 
 &middot; AI/ML &middot; Agentic AI &middot; Machine Learning
 
 
 preferred skill sets:
 
 
 &middot; AI/ML &middot; Machine Learning
 
 
 Years of experience required:
 
 
 Experience: 3 - 6 Years
 
 
 Education qualification:
 
 
 B.Tech / M.Tech / MCA/MBA
 
 
 
 <ul>
 <li>
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Machine Learning Algorithms
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning (ML) {+ 25 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
</div>

IN_Senior Associate_ Data Scientist (AI/ML) __ Data & Analytics _ Advisory _Bangalore

Visa

<div>
 
 
 Job Description
 
 
 
 
 What a Data Scientist , Visa Consulting &amp; Analytics does at Visa:
 
 
 
 
 
 
 The Data Scientist will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa&rsquo;s Bangalore office.
 
 
 
 
 
 The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
 
 <ul>
 <li>
 Hands-on development of detailed project scopes and methodologies, as well as designing, and implementing solutions using appropriate tools and techniques.
 </li>
 <li>
 Own project outcomes by proactively identifying and mitigating risks, managing dependencies, and communicating status and timelines to meet delivery expectations.
 </li>
 <li>
 Ensuring quality control and maintaining up-to-date documentation for all data science projects.
 </li>
 <li>
 Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques.
 </li>
 <li>
 Translate analytical findings into clear, actionable business insights.
 </li>
 <li>
 Work closely with cross-functional teams (consultants, data science, data engineers) to ensure successful project delivery.
 </li>
 <li>
 Contribute to the development of internal frameworks, templates, and accelerators for data science consulting.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.
 
 
 &bull; 5+ years&rsquo; experience plus a bachelor&rsquo;s degree in computer science, information science, mathematics, or similar/related streams. Graduate master&rsquo;s degree is a plus.
 
 
 &bull; Hands-on in delivering end-to-end data science projects, developing machine learning solutions, and scaling up data solutions. Demonstrated expertise in the core machine learning workflow, including data handling (cleaning, wrangling, feature engineering) and modeling with algorithms like Linear Regression, Decision Trees, and XGBoost.
 
 
 &bull; Experience in card payments and/or retail banking domain.
 
 
 &bull; Hands-on experience across the data analytics lifecycle: programming and querying (Python, SQL, Pyspark), big data platforms (Hadoop, Hive), and business intelligence/visualization (Tableau).
 
 
 &bull; Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
 
 
 &bull; Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.
 
 
 &bull; Familiar/Skilled in identifying and implementing GenAI solutions is desirable.
 
 
 &bull; Self-motivated, results oriented individual with ability to handle multiple projects concurrently.
 
</div>

Data Scientist

Amazon

<div>
 
 Description
 
 
 
 Amazon&rsquo;s Last Mile Team is looking for a passionate individual with strong machine learning and GenAI engineering skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world.
 
 
 Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)&rsquo;s success and the sustainable growth of Amazon.
 
 
 Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.
 
 
 Key job responsibilities
 
 
 Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Machine Learning or Large Language Models. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of data scientist experience
 </li>
 <li>
 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
 </li>
 <li>
 Experience applying theoretical models in an applied environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Python, Perl, or another scripting language
 </li>
 <li>
 Experience in a ML or data scientist role with a large technology company
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3108909
</div>

Date Scientist II, Last Mile

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

Data Analyst - AI & ML

Data Scientist, Product Analytics

Explore 542+ Associate scientist analytical team sarc pd in Mangaluru this December. Find roles across top companies and apply now to boost your career.