11+ SciPy Jobs in Pune | SciPy Job openings in Pune

• Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
• Own the end-end process, from recognizing the problem to implementing the solution.
• Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
• Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

• 12 to 15 yrs of experience.
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language
• Understanding and Neural Language Modeling.
• Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
• Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.

Requirements:

• Minimum 2 Years of Experience: Demonstrated experience in visual communication design, with at least 2 years of professional experience.
• Portfolio: A compelling portfolio showcasing a diverse range of visual communication work, including packaging design, digital graphics, and print collateral.
• Consumer Brand Experience: Prior experience in designing for consumer brands is advantageous, indicating an ability to connect with target audiences effectively.
• Creativity: A flair for creative thinking and the ability to translate concepts into visually appealing designs.
• Software Proficiency: Proficient in design software such as Adobe Creative Suite (Illustrator, Photoshop, InDesign) and a willingness to adapt to emerging design tools.
• Detail-Oriented: Meticulous attention to detail, ensuring that all designs are accurate and aligned with brand guidelines.
• Collaborative Spirit: Strong interpersonal and communication skills, enabling effective teamwork and client collaboration.

B1 – Data Scientist  -  Kofax Accredited Developers

Requirement – 3

Mandatory –

• Accreditation of Kofax KTA / KTM
• Experience in Kofax Total Agility Development – 2-3 years minimum
• Ability to develop and translate functional requirements to design
• Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
• Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
• Application development using Kofax and KTM modules
• Good/Advance understanding of Machine Learning /NLP/ Statistics
• Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
• Excellent communication skills and collaborative attitude
• Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
• Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

• Previous experience of working on Agile & Hybrid delivery environment
• Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

Qualification -

• Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

We're hiring an experienced SAP IBP Consultant with 6+ years of expertise in Demand and Supply Planning. The ideal candidate should have strong skills in key figure modeling, time series planning, and integration with S/4HANA or ECC. Prior experience with planning operators, forecast models, and Excel Add-in is required.

1. End to end accounts Pay Order management / Invoicing / Billing in systems (QuickBooks, Tally or any other ERP)
2. Execution of orders -  starting from receiving Purchase Order to service deployment (Enabling the cloud platform for client)
3. Documentation, understanding of compliance.
4. Client Communication  - Written and verbal communication (Deal with clients, Sales team and other employees. 
5. Reporting  - Various reports (Governance/Monthly/quarterly review reports).
6. Deal with clients, management, suppliers and other employees professionally at all times
7. Complete all the  tasks on time, timelines are critical.
8. Open for new tasks and ready to accept the challenges since this is a dynamic profile.

Is Education overrated? Yes. We believe so. But there is no way to locate you otherwise. So we might look for at least a Bachelors degree in commerce from an accredited university and prefer a Bachelors or Masters in finance. A higher degree, CA, CA inter or MBA/PGDBA in Finance will be an added advantage.

1. 1 – 3 years of prior experience working in billing, invoicing and order management.
2. Experience of working in IT industry would be preferred
3. Strong analytical skills
4. Passion for quality control and productivity
5. Ability to perform advanced computing functions
6. Familiarity with databases
7. Familiarity with Google Workspace
8. Strong communication skills
9. Ability to solve problems
10. Ability to work well in groups
11. Ability to multitask
12. Knowledge of the Cloud based products is an additional advantage.

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint

Have at least 2 years of experience with two or more development languages. Experience

working on Python is a MUST and that on JAVA is nice to have.

• Experience in building web platform with Angular 9+ (React could be an alternative) is a MUST
• Experience in building applications with containerization like Docker and Kubernetes
• Experience in writing relatively complex DB queries (preferably SQL Server, MySQL). Experience working on No-SQL DB is nice to have.

• Experience in building RESTful APIs using Python and web frameworks such as Spring MVC, Flask
• Experience in working in any of the ORM tools like SQLAlchemy, SQLObject, Storm, Django
• Skillful in writing high-quality, well-tested code
• Proficient in Object-Oriented programming
• Comfortable with Agile methodologies, such as Scrum, Kanban
• Experience in working with JavaScript frameworks (such as ag-Grid, D3) to build in-app reports is nice to have

• Key competencies required: Problem-Solving, Analytical, Collaboration, and Accountability
• An influencer by always advocating for technical excellence and innovation while being open to change when needed

• Resilient in ambiguous situations and can approach challenges from multiple perspectives
• Advantage if has a working knowledge of cloud technology such as AWS, Azure
• Efficiently utilize DevOps tools and practices to build and deploy software
• Have knowledge of Test Driven Development