150 Data Scientist jobs in Coimbatore

PLEASE READ THROUGH THE Job Description CAREFULLY. APPLY ONLY IF YOU MEET THE REQUIREMENTS.

Position: Data Analyst / Data Scientist (Operations Focus)

Experience: 3.00 - 8.00 years

Working Location: Gurgaon

Job Mode: Work From Office

Job Type: Full-time

Working Days: 6

Industry: Fintech

About the Company

We're a dynamic fintech revolutionizing India's collections landscape. Through AI-driven intelligence, automation, and an integrated field force, we've built next-gen recovery infrastructure that improves lender outcomes and expands financial inclusion.

What You’ll Do

• Design end-to-end data pipelines for operational data from diverse sources
• Develop advanced propensity models (e.g., payment likelihood, risk segmentation) to solve core business problems
• Create real-time dashboards (Power BI/Tableau) for operational performance tracking
• Perform statistical analysis to optimize field force efficiency and collection strategies
• Lead A/B testing of operational interventions and repayment solutions
• Ensure data integrity across high-volume transactional systems
• Mentor junior team members on operational analytics best practices

What We’re Looking For

• 3-8 years in Data roles at operations-heavy startups (fintech, logistics, e-commerce, or similar)
• For Senior Candidates (4-8 yrs): Proven propensity modeling experience is mandatory
• Degree in Statistics, CS, Economics, or related quantitative field
• Expertise in:
• SQL + Python (Pandas, NumPy, Scikit-learn)
• Power BI/Tableau
• Statistical modeling for operational decision-making
• Startup-ready mindset: Adaptable, proactive, and comfortable with ambiguity

Preferred Qualifications

• Built data solutions for field operations or high-frequency workflows
• Hands-on propensity modeling for customer behavior prediction
• Cloud platforms (AWS/Azure/GCP) + Big Data tools (Spark/Hadoop)
• Fintech/financial services background (especially collections/lending)
• Experience with CRM/operational BI platforms

Why Join Us?

• Ownership culture: Drive analytics for India's next-gen recovery infrastructure
• Operational impact: Your models directly optimize field force actions
• Growth environment: Lean startup where you’ll shape data strategy
• Flexible productivity: Work when you’re most effective
• Build the blueprint: Pioneer solutions for democratizing credit

"We seek builders who thrive in operations trenches. If you’ve scaled data systems at startups where every % efficiency gain mattered, you’ll find a home here."

he candidate should at minimum show proficiency in:

• Strong Python and intermediate SQL skills
• Experience building, deploying, and evaluating ML/NLP/GenAI systems.
• Experience with ML system design
• Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies
• Software engineering best practices, including testing, OOP, etc.
• Knowledge of cloud systems, especially azure preferred.
• A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters

Must Have:

• Experience working closely with other data scientists, data engineers’ software engineers, data managers and business partners.
• Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
• Can carry out data analyses to yield actionable business insights.
• Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
• Applied knowledge of data science tools and approaches across all data lifecycle stages.
• Thorough understanding of underlying mathematical foundations of statistics and machine learning.
• Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
• Advanced SQL knowledge.
• Knowledge of experimental design and analysis.
• Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.

Location - Bangalore/ Gurgaon

Skills/ Qualifications Required:

• Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation
• Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling) , NLP
• Expertise in Demand Forecasting
• Proficient in tools / languages like SQL, Python & PySpark
• Good understanding of Probability & Statistics
• Hands-on experience in Azure
• Good communication skills

Job Responsibilities

• Data collation, processing, cleaning & transformation along with feature engineering and model development.
• Hands-on with model training, evaluation & fine tuning.
• Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s)
• Develop & implement various customer segmentation, LTV & marketing campaign optimization models.
• Actively own & manage client deliverables.
• Effectively engage with client & translate client business requirements into equivalent analytical problems.
• Understand data and different platforms used by the client.
• Actively contribute towards design methodology for problem solving.
• Analyze large & complex data sets to derive valuable insights.

ABOUT LITTLE PLACE LABS 

Little Place Labs is reimagining how satellites process and deliver intelligence from orbit. We specialize in satellite edge computing, developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs. Our vision is to turn satellites into autonomous, intelligent systems that don’t just capture data, but interpret it instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.

Based across the US, Europe, and India, our team works on solving complex challenges in earth observation, space situational awareness, and autonomous satellite operations. Our rapidly growing team of mission-driven, space enthusiasts is passionate, innovative, and committed to a better future for planet Earth, the little place that we all call home.

POSITION SUMMARY 

For candidates based in India only.

As the Data Scientist and reporting to the Head of Data Science, you will be a part of the India development team of the LPL’s space data analytics product Orbitfy, explore different use cases for the technology, and work closely with the CTO to strategize the product and the company's roadmap for the next 3-4 years.

Little Place Lab's data science team is the heart and the brain of our product development, offering space-derived analytics as the source of truth for key stakeholders so they can make critical and timely decisions.

We’re looking for someone who is hands-on, embraces AI tools in day-to-day workflows, and leverages them to boost productivity and accelerate results. You will work closely with engineering, product, and the CTO to apply sophisticated modeling techniques to a modern data stack and build the future of Space Edge Computing.

This is a remote-first role, requiring excellent communication skills to coordinate with global teams and external partners. Some travel within India or internationally may be required.

RESPONSIBILITIES

• AI-Driven Development: Proactively use modern AI tools to enhance productivity across the data science lifecycle (data wrangling, model design, testing, documentation, etc.).
• Algorithm Development: Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).
• Model Optimization: Train and fine-tune deep learning models for edge deployment (on-board satellites), balancing performance with efficiency, power, and computational constraints.
• Provide MLOps, orchestration, and workflow best practices.
• Cross-Functional Collaboration: Work with GIS engineers, software teams, and product managers to integrate ML solutions into Orbitfy’s broader pipeline.
• Innovation & Research: Stay ahead of emerging trends in Edge AI, ML, and remote sensing, and translate them into practical solutions for space applications.
• Data Handling: Process large, complex datasets from diverse sensors; design robust preprocessing, augmentation, and feature extraction workflows.
• Communication & Reporting: Clearly articulate technical concepts, results, and trade-offs to both technical and non-technical stakeholders in a distributed team.
• Quality & Validation: Ensure robustness, reliability, and reproducibility of solutions through systematic testing, benchmarking, and validation.
• Documentation and Reporting: Maintain detailed documentation of algorithms, models, and processes; prepare reports and presentations for technical and non-technical audiences.

SUCCESS METRICS

• Delivery of LPL’s machine learning modules on schedule for satellite missions or user trials.
• Work on the deployment of LPL’s products for multiple satellite missions.
• Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools.
• Effective collaboration and communication across distributed teams.
• Contributions that shape the product roadmap and strengthen Little Place Labs’ position in edge-based space intelligence.

REQUIREMENTS

• Education: Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Experience: 3–8 years in data science, with demonstrated hands-on experience in computer vision, image processing, or machine learning.
• Technical Skills:

> Strong in Python; experience with frameworks like TensorFlow, PyTorch, OpenCV.

> General Software engineering: cloud infrastructure, Docker, git best practices, etc.

> Exposure to C/C++, CUDA, ONNX, TensorRT, OpenVINO, or FPGA acceleration is a plus.

> Experience with architectures such as CNNs, ViTs, GANs and foundational models etc

> Experience with model compression is a plus.

• Domain Knowledge: Familiarity with satellite imagery and remote sensing preferred (but not mandatory if strong ML background).
• Good understanding of embedded systems from the perspective of deploying AI.
• Edge AI Focus: Experience or keen interest in deploying models in constrained environments (e.g., embedded systems, on-board devices).
• Experience or understanding of FPGAs is desirable, not mandatory.
• Experience working with NVIDIA Jetson and Xilinx Versal will be a big plus. Candidates with such experience will be preferred.
• Soft Skills:

> Ability to work independently in a remote-first setup.

> Excellent communication skills to bridge technical and product conversations across geographies.

> Curiosity, creativity, and a problem-solving mindset.

EQUAL OPPORTUNITY EMPLOYMENT INFORMATION

Individuals seeking employment at Little Place Labs are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries.

At Kovai.co , we're rewriting the B2B landscape by empowering over 2, businesses worldwide with our award-winning SaaS solutions.

Our Products:

• Biztalk
• Turbo
• Document

“UK headquarters. Indian innovation. Global impact.”

Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception.

We are on track towards $30 million in annual revenue – and we're just getting started.

Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys.

Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose.

What's the job:  Data Scientist

What you’ll do on the job:

• Understand business problems and formulate hypothesis
• Collecting and interpreting data, analyzing results, identifying patterns and trends in large data sets
• Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data
• Build custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so on
• Performing data quality checks for quality assurance
• Build data pipelines to supply quality data to machine learning model in production environment
• Supports innovative analytical thinking & solutions that results into improved business performance 
• Writing reports based on insights gained from exploratory data analysis and able to articulate it to product owner
• Practice industry well-known Machine Learning Framework and best practices

Who’ll be a good fit: 

• Proven working experience of 2+ years as a Data Scientist
• Strong in mathematics - statistics, probability, linear algebra, time series
• Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language)
• Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software) , MS SQL Server
• Working knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification models
• Proficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning.
• Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model building
• Write scalable scripts to fetch or modify data from API endpoints
• Exposure to cloud technology is preferred (Azure)
• Excellent critical thinking, verbal, and written communication skills

Equal Opportunities:

Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career.

Role: Lead Data Scientist – Gen AI

Location: India (Remote)

About Lingaro:

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.

Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.

About DS/AI Competency Center:

Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools.

Website:

Tasks:

The key duties are:

• Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
• Analyzing and interpreting the findings
• Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
• Supporting Pre-sales activities and initiatives

Requirements:

Must Have:

• Familiarity with theory behind various machine learning concepts
• Experience with Machine Learning (ML), especially in the area of Gener tative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multi modal models.
• Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
• Fluency in Python, working knowledge of SQL and vector data base
• Knowledge of specific DS/ML/CVGenAI /NLP libraries like: NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs i.e. OpenAI/Gemini.

Nice to have:

• Experience in working with big data and distributed environments would be a plus
• Commercial experience proven by multiple successful projects in the area of Generative AI, Natural Language Processing or Computer Vision would be a big plus

General:

• Good computer programming skills and familiarity with object oriented programming concepts
• Expertise in Azure cloud resources, Databricks
• Hands-on experience with Docker for containerisation
• Strong business acumen
• Ability to come up with creative solutions to address customer problem
• Ability to lead small technical team on the project

Why join us:

• Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
• 100% remote.
• Flexibility regarding working hours.
• Full-time position
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Unlimited access to the Udemy learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.

Application Link: