Data Scientist RightProfile Mumbai (Hybrid) Full-time 23 yrs
Syntellect is building the intelligence layer for lending in markets where bureau data stops. RightProfile our field AI platform is live across India and East Africa, and expanding into new geographies fast. We need a Senior Data Scientist who operates in two modes simultaneously: driving continuous innovation across our existing suite of AI capabilities, and going out into the field literally sitting with lenders, loan officers, and borrowers to surface the insights that become our next generation of products.
Drive innovation across our existing AI modules image intelligence, voice-to-structured-data, document pre-underwriting, and multi-signal triangulation identifying accuracy gaps, introducing new model architectures, and pushing performance benchmarks Conduct on-ground customer immersions: accompany field officers, observe loan origination in real conditions, and convert unstructured field knowledge into hypotheses for new product capabilities Refine and expand our surrogate income and creditworthiness classification logic across trade segments and geographies, calibrating models to loan officer ground truth rather than bureau proxies Act as the primary data science liaison with active clients lead performance reviews, explain model behaviour to credit heads and CXOs, and translate field feedback into a clear improvement roadmap Monitor live deployments across geographies; detect model drift early and ship fixes fast this is an environment where days matter, not sprints Build evaluation frameworks precision/recall, NPA lift, Gini, KS and convert them into ROI narratives that resonate with credit risk and product leaders Contribute to research and outcome measurement deliverables for development finance and grant partners, with rigorous, audit-ready data outputs
3+ years in applied ML/data science with shipped, production models not just research
Deep expertise in at least one of: computer vision, NLP/ASR, or document intelligence
Proven ability to present complex model outputs to non-technical audiences credit committees, CXOs, regulators
Strong Python and
SQL
; fluency with cloud-based data pipelines and experiment tracking
Experience with low-resource or multilingual models
Prior experience in an early-stage startup you built from scratch, not inherited Awareness of AI regulatory and data privacy norms in financial services
You will work directly with the Founder-CEO who brings nearly three decades of lending experience and the CTO. This role involves both screen time and field time, sometimes in the same week. If you want a clearly scoped data science function inside a large org, this is the wrong role. Python SQL FastAPI
AWS / GCP
Excel (for clients)
We particularly welcome candidates with lived or professional experience in the markets we serve.. The role is hybrid, based in Mumbai, with periodic travel to client and field sites. have minimum 3 years of experience Probation: Duration: Salary during probation: After probation: Annual CTC: Competitive salary Sign up/ Login with Google Sign up/ Login with Google
... Experience with cloud-native data platforms and services such as: AWS: S3, Kinesis, DynamoDB, RDS, Glue, EMR, Redshift Azure: ADLS, ADF, Event Hubs, Synapse, Databricks, Azure SQL Strong programming skills in Python, Scala, or Java . Experience in Fraud Analytics, data lakes, ML pipelines, and modern data platform architectures.
... for an experienced Data Engineer to design, develop, and maintain scalable data platforms and pipelines using AWS, Apache Spark, Python, SQL, Kafka, and modern data engineering frameworks . The role will focus on building reliable data solutions for high-volume batch and real-time workloads, including data ingestion, transformation, ...
... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...
... obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will work ...
... for retraining Requirements - Experience: 6+ years data engineering focused on ML data pipelines - Python: Strong — pandas, pyarrow, JSONL processing at scale - ML Data Libraries: HuggingFace Datasets, Arrow-based storage - Data Formats: Multi-turn conversation/chat data structures and tokenizer-specific formatting - Deduplication: ...
... Requirements : - 3+ years of professional AI/ML engineering experience with a track record of delivering production-grade AI systems.- Strong programming skills in Python and SQL, with hands-on experience in ML libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow).- Hands-on experience building ...
... Requirements : - 3+ years of professional AI/ML engineering experience with a track record of delivering production-grade AI systems.- Strong programming skills in Python and SQL, with hands-on experience in ML libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow).- Hands-on experience building ...
... workflows. Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench. Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ...
... mapping, and change detection. - Ensure annotation accuracy, consistency, and adherence to defined quality standards (QA/QC frameworks) across all delivered datasets. - Define and continuously improve annotation guidelines, taxonomies, and labeling protocols in collaboration with Data Science and ML teams. - Stay current ...
... improve platform performance and resilience. Integrate with customer data platforms and pipelines, including bespoke data frameworks. 4–8 years of experience in data engineering or backend development in data-intensive environments. Proficient in Python and SQL; Strong experience with cloud-native data tools and services (S3, ...
... technical authority on internal data contracts and API schemas in cross-functional discussions with backend, product, and AI/ML teams 5+ years of experience in data engineering, with a proven track record delivering production-grade pipelines, data models, and storage architectures - Deep SQL expertise; hands-on experience ...
... delimited), APIs, XML, JSON). - Experience implementing data integration techniques such as event/message based integration (Kafka, Google Pub/Sub). - Advanced SQL skills; solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources. - Strong understanding ...
Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...
... demonstrated track record of delivering production-grade AI systems in real-world environments.- 3. Mandatory (Tech skill 1) : Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API design.- 4. Mandatory ...
... and implement effective solutions.- Participate in design discussions, code reviews, technical documentation, and architecture decisions.- Work closely with Data Scientists, AI/ML Engineers, Architects, QA, DevOps, and Product teams.- Follow Agile/Scrum practices and contribute across the complete software development ...
... in NLP (clustering, summarization, sentiment analysis). Hands-on with AWS AI/ML stack. Familiarity with MongoDB & NoSQL/SQL. Experience with speech/multimodal AI. Exposure to data visualization tools. Build an AI-first SaaS platform solving real-world problems. Work with cutting-edge AI/ML and cloud-native architecture.
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...
... understanding of event-driven architecture and real-time data streaming patterns Familiarity with Avro/JSON schema management and Schema Registry Experience integrating data between legacy and modern platforms Strong SQL/Python skills and experience working with relational databases Understanding of data mapping, data quality, and ...