11+ Advanced analytics Jobs in Pune | Advanced analytics Job openings in Pune
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EarlySalary is an instant line of credit to young working Indians. EarlySalary is a pioneer in introducing
instant loans & salary advances and has disbursed over Rs.5,000Cr worth of loans on its platform and
currently disbursed nearly 100,000 loans a month and is considered one of the largest Digital
Consumer FinTech Lender in the country. EarlySalary is a series C funded start-up and has raised
multiple rounds of investment from global investors including Eight Roads (Fidelity) Ventures &
Chiratae (IDG) Ventures and is considered one of the fastest-growing FinTech start-ups in India. With
a clear focus to disrupt the finance and banking domain, EarlySalary has built a strong team focused
on build Technology, mobile platform, Risk & AI/ML models to better decisioning and real-time
lending. As a full-stack lender we manage both sides of the business building better technology and
products for powering our lending platform and build ML models for better risk mitigation and giving
real-time decisions to our customers.
Our ML & Risk Analytics Stack & Practice is focused on building a better Risk Score Card & building a
high amount of automation. EarlySalary is considered one of the fastest & most automated lenders
in the Industry
Job Title : Collections Strategy Manager
Experience : 5 - 7 years
Job location : Pune
Core Responsibilities :
• Strong in process development and policy development.
• To simplify and define processes and think over traditional collections practises to evaluate
the right strategy to collect from each account.
• Plugging gaps in the collection process to mitigate loss.
• To manage and understand collection system and optimise the productivity.
• Track payment pattern of customers, do behavioural segmentation, compare past
repayment and identify push strategies to enhance customer experience and optimise
productivity.
• Bring in new age technology , advanced analytics and best practises and keep changing the
way successful collections shops operate.
• To automate and create process that is also cost effective.
• To make use of new digital channels to engage with customer and create a more engaging
experience and scale up connectivity.
• Work closely with collection team on strategy implementation and execution.
Preference and Experience :
• System development & policy development experience from collections background from NBFC or Banking
Academic qualifications :
• Graduate /MBA preferred
Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.
2
Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.
3
Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.
4
Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.
5
Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.
6
Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.
7
Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.
8
Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.
9
Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.
10
Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered
11
Mandatory (Age) - Candidate's Age should be below 37 years.
We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.
KEY RESPONSIBILITIES
End-to-End ML Development
• Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.
• Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.
• Validate model performance using appropriate statistical techniques and domain knowledge.
MLOps & Production Deployment
• Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.
• Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.
• Ensure model reliability, observability, and performance in live production environments.
Language Models & LLM Applications
• Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.
• Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.
• Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.
• Support exploratory work around LLM integration and prompt engineering for internal tooling.
Domain-Driven Analytics
• Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.
• Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.
• Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.
REQUIRED QUALIFICATIONS
Education
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.
Experience
• 2–4 years of hands-on experience in a data science or machine learning role.
• Demonstrable experience deploying ML models in production environments (not just prototyping).
Technical Skills
• Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).
• Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.
• Hands-on experience with BERT-family models and Hugging Face Transformers library.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.
• Solid understanding of SQL and working with large structured/unstructured datasets.
• Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).
GOOD TO HAVE
• Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).
• Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.
• Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.
• Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).
• Contributions to open-source ML projects or published research.
THIS ROLE IS NOT FOR YOU IF…
• You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.
• Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.
Job Description
Role: Video Editor + Graphic Designer
Experience: 1 year +
Location: Pune — Work From Office
Company: Nirmitee.io
About the Role
We are looking for a creative Video Editor + Graphic Designer with at least 1 year of hands-on experience in content creation, editing, and visual design. You will work closely with the marketing and content team to produce high-quality videos, reels, graphics, and social media creatives.
Responsibilities
- Edit videos, reels, and promotional content for marketing campaigns
- Create professional graphics, banners, social media creatives, thumbnails, and presentations
- Work with brand guidelines to maintain a consistent visual identity
- Collaborate with the marketing team to brainstorm creative content ideas
- Add animations, transitions, motion graphics, and typography
- Manage multiple projects with timely delivery
- Optimize videos for YouTube, LinkedIn, Instagram & other channels
Required Skills
- 1+ year experience in video editing & graphic designing
- Strong knowledge of tools like Adobe Premiere Pro, After Effects, Photoshop, Illustrator, Figma, Canva
- Understanding of color grading, sound editing & motion graphics
- Ability to convert ideas into visually appealing designs
- Good sense of storytelling, visual aesthetics, and trending formats
Good to Have
- Experience in short-form content (reels, shorts)
- Basic animation/motion graphics skills
- Creative mindset with attention to detail
Why Join Nirmitee.io?
- Work on exciting healthcare & tech projects
- Learn advanced branding, UI/UX, and content strategy
- Fast-paced, creative, and growth-oriented environment
|
.Minimum of 5 yeares expereince in .NET development Knowledge and drive to ensure quality by implementing unit tests Passion for quality, speed, and optimisation within the development process Experienced with agile development using Scrum/Kanban Experience with dependency injection and domain driven architectural styles Experience with the following technologies and concepts: .Net, MVC, Web api, React or Angular, SQL Experience with Git-based source control products (GitHub, Bit-bucket) |
Channel Partner Executive / Manager JD
Key Responsibilities
- To develop Channel as a separate entity with defined Sales Target
- Identify and Onboard new channel partners
- Collaborate with sales team
- Manage the performance of existing partners and develop strategies to improve revenue
- Develop and maintain relationships with partners
- Identify and resolve conflicts
- Developing new sales channels
- This assignment begins with Channel development in India and USA
Qualification
- MBA Marketing / IB
- Experience of SAAS product company preferred
- Channel development and management experience
- Proficiency in Customer Relationship Management (CRM)
- Strong problem solving and negotiation skills
2. Data structure (HashMap, treemap, arraylist, linklist),
3. Streaming concepts (partitioning), Junit
4. Exception handling and workflow, Test coverage (why its important, how it gets handled at
java and spring layer, morckito library if the candidate knows that would be great),
5. OOPS concepts (inheritance),
6. Threading (mutex, threadpool, threading implementation, singleton factory, builder pattern,
abstract)
7. Real world problems (atleast 1 to be asked in IAAS interview) (movie ticket booking, parking
booking), To be asked to only selected candidates: Puzzle (probability/)
8. Memory management: Garbage Collection (GC), Heap dump, Thread dump, apache, google
library.
9. Spring frameworks and database. Data lakes, star lakes, schemas, indexing, partitioning,
optimize query, hibernate.
10. Data warehouse vs nosql vs time series database (KDB, DB2), data storage patterns.
11. Types of transaction control. Column level.
12. Query formation, grouping, nested queries, joints (inner joints, outer joints)
13. If candidate has spring exp: Architecture and various layers of Spring, coupling concepts,
dependency injections, inheritance, Bean level, JMS connection pooling concepts, Lambda,
Annotation vs XML, Kafka, Hibernates.
14. Good to have AI/ML inclination.
Bifurcation of Must have and good to have skills:
Must have skills Good to have skills
Core java (60%), spring (15%), and databases
(15%).
Mockito library
Data structure (HashMap, tree map, array list,
link list)
Threadpool
Streaming concepts (partitioning) Memory management
Exception handling Lambda, Annotation vs XML, Kafka, Hibernates
OOPS GCP or any cloud technology
Threading (singleton factory, builder pattern) AI/ML inclination
Real world problems (movie ticket booking,
parking booking)
Spring frameworks and database (indexing,
partitioning, layers of Spring, JMS connection)
Data warehouse vs NoSQL vs time series
database
Junit
As an experienced Data Scientist you’ll join a team of data scientists, analysts, and software engineers
working to push the boundaries of data science in health care. We like to experiment, iterate, and
innovate with technology, from developing new algorithms specific to health care’s challenges, to
bringing the latest machine learning practices and applications developed in other industries into the
health care world. We know that algorithms are only valuable when powered by the right data, so we
focus on fully understanding the problems we need to solve, and truly understanding the data behind
them before launching into solutions – ensuring that the solutions we do land on are impactful and
powerful
Essential functions
• Research, conceptualize, and implement analytical approaches and predictive modeling to
evaluate scenarios, predict utilization and clinical outcomes, and recommend actions to impact
results.
• Manage and execute on the entire model development process, including scope definition,
hypothesis formation, data cleaning and preparation, feature selection, model implementation
in production, validation and iteration, using multiple data sources.
• Provide guidance on necessary data and software infrastructure capabilities to deliver a scalable
solution across partners and support the implementation of the team’s algorithms and models
• Contribute to the development and publication in major journals, conferences showcasing
leadership in healthcare data science.
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT teams and
Business stakeholders spread out across various locations in US and India to achieve business
goals
• Provide guidance to other Data Scientist and Machine Learning Engineers






