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python developer associate data analytics engineering

Morgan Stanley

<div>
 
 Python Developer - Associate- Data &amp; Analytics Engineering
 
 
 
 We&rsquo;re seeking someone to join our CDRR Technology team as a Python Developer, in Non-Financial Risk Technology to We are seeking a skilled and proactive Mid-Level Backend Developer to join our dynamic team. The ideal candidate should have a strong foundation in real-time applications, microservices, and be comfortable supporting production environments, including troubleshooting and resolving production issues promptly. You will work collaboratively in an Agile environment and contribute to building, deploying, and maintaining robust backend systems.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
 
 
 This is Associate position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Develop, maintain, and support scalable real-time applications.
 </li>
 <li>
 Build and manage microservices using Python (3+) within Docker and Kubernetes (MKS) environments.
 </li>
 <li>
 Monitor, troubleshoot, and support production systems, including incident response and root cause analysis.
 </li>
 <li>
 Implement and configure logging and monitoring solutions, especially Grafana and Loki.
 </li>
 <li>
 Participate in the Software Development Life Cycle (SDLC) following AGILE methodologies.
 </li>
 <li>
 Develop and manage CI/CD pipelines and contribute to auto deployment tools for seamless releases.
 </li>
 <li>
 Write optimized SQL queries and manage relational databases (MSSQL and other RDBMS systems).
 </li>
 <li>
 Utilize basic Big Data concepts and tools where applicable.
 </li>
 <li>
 Collaborate with other team members, stakeholders, and cross-functional teams to understand requirements and resolve issues.
 </li>
 <li>
 Ensure quality and reliability of services through code reviews and best practices.
 </li>
 <li>
 Communicate effectively and document solutions, especially around production support tasks.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 Experience in developing and supporting real-time applications.
 </li>
 <li>
 Python skill set is key; strong experience in Python 3+ development.
 </li>
 <li>
 Experience with RESTful APIs and microservices.
 </li>
 <li>
 Proficiency with Docker and Kubernetes (preferably MKS).
 </li>
 <li>
 Experience implementing logging and monitoring, particularly with Grafana and Loki.
 </li>
 <li>
 Good understanding of the SDLC and experience working in AGILE teams.
 </li>
 <li>
 Familiarity with CI/CD and deployment automation tools.
 </li>
 <li>
 Strong SQL knowledge, with hands-on experience using MSSQL and other RDBMS systems.
 </li>
 <li>
 Basic awareness of Big Data technologies and principles.
 </li>
 <li>
 Experience supporting and troubleshooting production environments.
 </li>
 <li>
 Good interpersonal and communication skills with proactive problem-solving abilities.
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Python Developer_Associate_Data & Analytics Engineering

Anyscale

<div>
 
 About Anyscale
 
 
 
 At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We&rsquo;re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
 
 
 With Anyscale, we&rsquo;re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
 
 
 Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a
 
 Docs Engineering Lead
 
 to own the end-to-end systems, tooling, and infrastructure that power Anyscale&rsquo;s documentation experience &mdash; including both the Anyscale product documentation and the open-source Ray documentation.
 
 
 Documentation is one of the most important surfaces for how developers experience Anyscale. In this role, you will architect, build, and operate the platform that enables technical writers, engineers, and contributors across the company to produce clear, accurate, and high-quality content at scale. You&rsquo;ll combine deep engineering skills with an obsession for information architecture, contributor experience, and technical content delivery.
 
 
 This is a
 
 Lead IC role
 
 with high autonomy, broad visibility, and significant cross-functional influence. You&rsquo;ll collaborate closely with technical writers (your primary internal customers), engineers, designers, product managers, and marketing to deliver a best-in-class docs experience.
 
 
 
 What You&rsquo;ll Own
 
 
 
 <ul>
 <li>
 End-to-end ownership of documentation tooling, build systems, and infrastructure for both Anyscale and Ray.
 </li>
 <li>
 Architecture and implementation of the front-end documentation experience, including dynamic elements, UI components, and contributor workflows.
 </li>
 <li>
 All developer-focused aspects of documentation hygiene: CLI/SDK reference generation, code example CI, versioning, testing, and automation pipelines.
 </li>
 <li>
 Contributor experience tooling that enables technical writers and engineers to work efficiently, accurately, and confidently.
 </li>
 <li>
 Documentation hosting, deployment strategy, CDN configuration, observability, analytics, and SEO fundamentals.
 
 
 </li>
 </ul>
 Technical implementation of
 
 AI-augmented documentation tooling
 
 in collaboration with internal AI/ML and product teams.
 
 
 
 What You&rsquo;ll Work On
 
 
 
 <ul>
 <li>
 Build and maintain the full docs engineering stack using Python and JavaScript.
 </li>
 <li>
 Implement dynamic components, automated documentation workflows, and extensions for Docusaurus (Anyscale docs) and tooling improvements around Sphinx (Ray OSS docs).
 </li>
 <li>
 Design systems that generate dynamic CLI and SDK reference docs, pulling from code, schemas, or OpenAPI-like definitions.
 </li>
 <li>
 Create custom plugins and tooling for authoring, validation, versioning, and content automation.
 </li>
 <li>
 Develop tests and validation pipelines for code examples, tutorials, walkthroughs, and other executable content.
 </li>
 <li>
 Define and enforce patterns, style guidelines, and branding across documentation surfaces, with collaboration from Design and Marketing.
 </li>
 <li>
 Partner with AI/ML teams to explore or integrate chatbot assistants, generative content workflows, LLM-based quality checks, or other intelligent doc systems.
 </li>
 <li>
 Improve documentation discoverability through analytics, structure, metadata, and lightweight SEO improvements.
 </li>
 <li>
 Drive contributor UX across engineering, product, field teams, and the OSS Ray community &mdash; enabling fast, safe, and scalable content contributions.
 
 
 </li>
 </ul>
 
 What Makes This Role Unique
 
 
 
 <ul>
 <li>
 Docs as a first-class product surface: You&rsquo;ll shape a developer-facing experience that is critical to how users learn, adopt, and scale with Anyscale.
 </li>
 <li>
 High leverage: By empowering contributors and writers, you multiply the productivity of the entire engineering organization.
 </li>
 <li>
 Hybrid strategic + hands-on: You&rsquo;ll set technical direction and architecture while also building systems end-to-end.
 </li>
 <li>
 Cross-company visibility: Your work impacts product, DevEx, marketing, OSS, and the AI platform itself.
 
 
 </li>
 </ul>
 
 Freedom to innovate:
 
 Our Docusaurus-based system supports arbitrary JS integrations, enabling deep customization and experimentation.
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong software engineering background with Python and JavaScript (both mandatory).
 </li>
 <li>
 Experience building or maintaining documentation platforms, content engineering systems, or developer-facing web properties.
 </li>
 <li>
 Familiarity with at least one major docs ecosystem: Docusaurus, Sphinx, MkDocs, Next.js/SSG, or similar.
 </li>
 <li>
 Experience with CI/CD, build pipelines, deployment automation, and versioning systems.
 </li>
 <li>
 Understanding of CDNs, caching strategy, hosting architectures, and doc site observability.
 </li>
 <li>
 Experience integrating analytics tools (Google Analytics, Search Console, Pendo, etc.).
 </li>
 <li>
 Strong grasp of information architecture and UX considerations for technical audiences (DevOps, ML engineers, data engineers, data scientists).
 </li>
 <li>
 Ability to design contributor-friendly workflows and collaborate closely with technical writers.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience supporting or migrating large-scale documentation systems.
 </li>
 <li>
 Experience building reusable components with React and CSS modules.
 </li>
 <li>
 Familiarity with the Ray ecosystem, distributed computing, or AI/ML infrastructure.
 </li>
 <li>
 Exposure to containerized development workflows (Docker) or Kubernetes.
 </li>
 <li>
 Experience integrating or enabling AI-assisted documentation workflows.
 </li>
 <li>
 Experience working on developer tools at a SaaS or enterprise technology company.
 </li>
 <li>
 Contributions to open-source docs or content tooling.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 You care deeply about documentation as a product, and you understand how much great docs impact developer adoption and success.
 </li>
 <li>
 You are excited about shaping and delivering a best-in-class documentation experience &mdash; both for end users and for internal contributors.
 </li>
 <li>
 You see technical writers as your core stakeholders and design systems that amplify their impact.
 </li>
 <li>
 You have a product mindset, strong UX intuition, and an instinct for how developers learn.
 </li>
 <li>
 You enjoy collaborating with technical and non-technical partners, and you thrive in highly cross-functional environments.
 </li>
 <li>
 You take end-to-end ownership, from architecture to implementation to ongoing maintenance.
 </li>
 <li>
 You&rsquo;re comfortable working in a fast-moving environment with high autonomy and high expectations.
 
 
 </li>
 </ul>
 
 Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
 
 
 
 
 
 Anyscale Inc. is an E-Verify company and you may review the
 
 
 
 
 Notice of E-Verify Participation
 
 
 
 
 and the
 
 
 
 
 Right to Work posters in English and Spanish
 
 
</div>

Docs Engineering Lead

PwC Acceleration Center India

<div>
 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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 The Opportunity
 
 
 When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you&rsquo;ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You&rsquo;ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
 
 
 As part of the AI Engineering team you will design and deliver scalable AI applications while conducting applied research in Generative AI and深度学习. As an Associate you will focus on learning and contributing to projects, developing your skills and knowledge to deliver quality work while building meaningful client connections and navigating complex situations. This role offers the chance to work with advanced technologies and be part of a impactful team dedicated to driving enterprise innovation.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement scalable AI applications
 </li>
 <li>
 Conduct applied research in Generative AI and advanced learning
 </li>
 <li>
 Collaborate with team members to enhance project outcomes
 </li>
 <li>
 Develop technical skills to support project tasks
 </li>
 <li>
 Build and maintain relationships with clients
 </li>
 <li>
 Analyze data to derive insights and inform decisions
 </li>
 <li>
 Adapt to evolving technologies and methodologies
 </li>
 <li>
 Contribute to a significant team focused on innovation
 
 
 </li>
 </ul>
 What You Must Have
 
 
 <ul>
 <li>
 Master's Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, Informatics
 </li>
 <li>
 2 years of experience
 </li>
 <li>
 Oral and written proficiency in English required
 
 
 </li>
 </ul>
 What Sets You Apart
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Engineering preferred
 </li>
 <li>
 Proficiency in Python and data science libraries
 </li>
 <li>
 Experience with Generative AI and prompt engineering
 </li>
 <li>
 Knowledge of NLP techniques and transformer architectures
 </li>
 <li>
 Familiarity with cloud platforms, preferably Azure
 </li>
 <li>
 Understanding of production-level AI systems
 </li>
 <li>
 Experience with Docker and containerized deployments
 </li>
 <li>
 Desire to innovate and automate processes
 </li>
 <li>
 A mindset of continuous learning and technical curiosity
 </li>
 </ul>
</div>

Data Scientist- Associate 2

<div>
 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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 The Opportunity
 
 
 When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you&rsquo;ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You&rsquo;ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
 
 
 As part of the AI Engineering team you will design and deliver innovative AI applications that transform business operations. As a Senior Associate, you will collaborate with cross-functional teams to develop scalable solutions, driving enterprise innovation while staying at the forefront of emerging technologies and industry trends.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement innovative AI applications to improve business operations
 </li>
 <li>
 Collaborate with cross-functional teams to develop scalable solutions
 </li>
 <li>
 Stay abreast of emerging technologies and industry trends
 </li>
 <li>
 Analyze business requirements to inform application development
 </li>
 <li>
 Provide technical guidance and support to team members
 </li>
 <li>
 Drive enterprise innovation through successful project execution
 </li>
 <li>
 Confirm solutions meet quality standards and client expectations
 </li>
 <li>
 Contribute to knowledge sharing and practices within the team
 
 
 </li>
 </ul>
 What You Must Have
 
 
 <ul>
 <li>
 Bachelor's Degree
 </li>
 <li>
 3 years of experience in Data Science/ML/AI roles
 </li>
 <li>
 Oral and written proficiency in English
 
 
 </li>
 </ul>
 What Sets You Apart
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Engineering
 </li>
 <li>
 Hands-on experience with Generative AI solutions
 </li>
 <li>
 Proficiency in Python and data science libraries
 </li>
 <li>
 Familiarity with cloud platforms like Azure
 </li>
 <li>
 Understanding of production-level AI systems
 </li>
 <li>
 Experience with Docker and containerized deployments
 </li>
 <li>
 Knowledge of NLP techniques and transformer architectures
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions
 </li>
 <li>
 Experience in deploying AI models via APIs
 </li>
 </ul>
</div>

Data Scientist- Sr Associate

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

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

Ceres Environmental Services, Inc.

<div>
 
 
 About Ceres India
 
 
 
 Ceres India (Ceres Environmental India Pvt. Ltd.) serves as the Global Capabilities Centre for
 
 Ceres Global
 
 , embodying strategic value, innovation, and operational excellence. With a highly skilled and diverse team, Ceres India drives efficiency and delivers exceptional support services across global operations
 
 
 
 
 
 
 Driven by Purpose, Powered by People
 
 
 
 At Ceres India, you&rsquo;re more than just an employee your part of a mission-driven team helping communities recover and rebuild after disasters. We value initiative, diversity, and ownership. You&rsquo;ll find opportunities for growth, travel, and impact in a culture that thrives on teamwork and resilience.
 
 
 
 
 
 
 What We Are Looking For
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 to drive data-driven decision-making for our bids, operations, and financial modelling functions.
 
 
 You will leverage advanced analytics and predictive modelling to help Ceres management optimize bid pricing, operational productivity, and margin forecasting by analysing large volumes of historical and operational data.
 
 
 This is a
 
 hands-on, high-impact role
 
 interfacing with global stakeholders, particularly in
 
 pricing strategy, operational forecasting, and business performance analytics
 
 .
 
 
 
 Key Analytical Focus Areas:
 
 
 <ul>
 <li>
 
 Bid Win Model:
 
 Develop predictive models estimating win probability by client, region, scope, and competitor profile.
 </li>
 <li>
 
 Pricing Engine:
 
 Build elasticity-based pricing guidance to support competitive bid decisions.
 </li>
 <li>
 
 Operations Forecasting:
 
 Model production rates by debris type, weather, crew mix, and logistics routes.
 </li>
 <li>
 
 Margin Forecast:
 
 Create financial simulation models to assess cost drivers and scenario outcomes.
 </li>
 <li>
 
 MLOps Foundation:
 
 Implement automated retraining, monitoring, and governance frameworks for deployed models.
 </li>
 </ul>
 
 
 
 
 
 What You Will Do
 
 
 <ul>
 <li>
 Design and develop
 
 data models, pipelines, and predictive systems
 
 using Python and SQL across multiple data sources (Salesforce, ERP, GIS, and weather data).
 </li>
 <li>
 Conduct
 
 feature engineering
 
 on operational and geospatial datasets.
 </li>
 <li>
 Build, validate, and deploy models for:
 </li>
 <li>
 Classification (Win/Loss predictions)
 </li>
 <li>
 Regression (Price and cost forecasts)
 </li>
 <li>
 Time Series (Throughput and demand projections)
 </li>
 <li>
 Optimization (Crew and equipment routing, shift planning)
 </li>
 <li>
 Evaluate models using
 
 AUC, RMSE, MAE, and uplift
 
 metrics.
 </li>
 <li>
 Deploy models into dashboards or applications (Power BI, Salesforce, Google Sheets).
 </li>
 <li>
 Present
 
 actionable insights
 
 and executive narratives to senior management.
 </li>
 <li>
 Maintain
 
 reproducibility and governance
 
 through version control and auditability.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Postgraduate degree in
 
 Data Science, Statistics, Applied Mathematics, Engineering, Operations Research
 
 , or related fields (IITs, NITs, IIITs, ISI, or Tier-1 universities preferred).
 </li>
 <li>
 
 7&ndash;12 years
 
 of applied data science experience in pricing, forecasting, or financial modelling.
 </li>
 <li>
 Proficiency in
 
 Python
 
 (pandas, scikit-learn, stats models, XGBoost/LightGBM) and
 
 SQL
 
 .
 </li>
 <li>
 Hands-on experience building
 
 data pipelines
 
 (Airflow, DBT).
 </li>
 <li>
 Exposure to
 
 geospatial analytics
 
 (GeoPandas, ArcGIS, QGIS) and weather data.
 </li>
 <li>
 Understanding of
 
 A/B testing
 
 , causal inference, and experiment design.
 </li>
 <li>
 Familiarity with
 
 MLOps
 
 frameworks for model versioning and monitoring.
 </li>
 <li>
 Excellent communication and storytelling skills.
 </li>
 </ul>
 
 
 
 
 
 What to Expect
 
 
 
 You&rsquo;ll work in a
 
 dynamic, data-driven environment
 
 , collaborating with U.S. stakeholders on real-world analytics problems that shape pricing and operations strategy. Expect exposure to
 
 large-scale operational data
 
 ,
 
 rapid prototyping of models
 
 , and opportunities to
 
 own analytics products end-to-end
 
 from concept to deployment.
 
 
 
 
 
 
 Why Join Ceres India?
 
 
 
 At Ceres India, you won&rsquo;t just have a job &mdash;
 
 you&rsquo;ll have a mission.
 
 
 
 Your work directly impacts the speed and strength of community recovery after disasters.
 
 
 We offer:
 
 <ul>
 <li>
 A
 
 collaborative, mission-driven culture
 
 .
 </li>
 <li>
 
 Opportunities for professional growth and advancement.
 
 </li>
 <li>
 The
 
 chance to make a lasting difference
 
 for communities worldwide.
 </li>
 </ul>
 
 
</div>

Data Scientist – Operations & Financial Modelling

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