8,608 Predictive Modeling jobs in India

Role: Data Engineer

Experience 3 -6 years

Location: Bangalore

1.Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field.

2.Proven experience in predictive modeling using Python.

3.Strong analytical and problem-solving skills.

4.Proficiency in MATLAB and Databricks.

5.Familiarity with Python libraries like Matplotlib and SciPy.

6.Experience with GIT version control.

7.Excellent communication and teamwork skills.

Job Role : Data Scientist

Experience : 8 to 15 Years

Location : Bengaluru, Hyderabad, Chennai, Mumbai

Must Have :

• Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Deep Learning : CNN, RNN, LSTMs, GAN, VAEs etc.,
• Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.Js., Tableau that help to visually encode data
• Preferred Experience with machine learning and GenAI algorithms such as large language models
• Prior experience working with Python or other programming languages.
• 1+ years of experience with cloud native engineering, AWS, Azure, Google

Skills/ Qualifications Required:

Experience- 3+years

· 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

· Proficient in tools / languages like SQL, Python, MS Excel, and Visualization basics

· Good understanding of Probability & Statistics

· Hands-on experience in Azure is a plus

· 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)

· 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.

We seek a Machine Learning Engineer colleague to join our world-class client, one of the

biggest and most advanced IT company.

- Remote work

- Employment/Contract Type: Contract

- Location: India

- Duration: 1 year (with potential to be extended)

- Hours per Week: 40 (Full-time)

Description:

We are seeking an experienced Machine Learning Engineer to join our growing team of

consultants. In this role, you will be responsible for designing, developing, and deploying machine

learning models and algorithms to solve complex business challenges with Databricks. You will work

closely with data scientists, data engineers, and business stakeholders to build scalable and efficient

machine learning solutions.

Key Responsibilities

● Design and implement machine learning models and algorithms with Databricks, including

predictive analytics, natural language processing, computer vision, and more.

● Lead the end-to-end development process, from data collection and preprocessing to model

deployment and monitoring.

● Collaborate with cross-functional teams to understand business requirements and translate

them into technical solutions.

● Optimize and fine-tune models for performance, accuracy, and scalability in a production

environment.

● Stay up-to-date with the latest advancements in machine learning and AI, and apply them to

improve existing systems.

● Contribute to the development of machine learning infrastructure, including data pipelines,

model serving frameworks, and monitoring tools.

● Collaborate with client stakeholders to drive solutions to solve business problems.

Qualifications

● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related

field;
PhD is a plus.

● 3+ years of experience in machine learning engineering or related fields.

● 2+ years of experience with Databricks

● Proficiency in programming languages such as Python, R, or Java, with a strong understanding

of machine learning libraries and frameworks (e.G., TensorFlow, PyTorch, scikit-learn).

● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and

monitoring.

● Strong problem-solving skills and ability to work in a fast-paced environment.

● Excellent communication and collaboration skills, with a track record of working effectively in

cross-functional teams

About Dexian

• Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Must Have Skills:

1. Machine learning techniques: regression, classification, clustering, deep learning
2. Programming languages: Python, R
3. Machine learning libraries: TensorFlow, scikit-learn, PyTorch
4. Data wrangling, feature engineering
5. Model validation and testing
6. Cloud platforms, distributed computing, big data technologies

Nice to Have Skills:

1. Knowledge of P&C Insurance domain
2. Experience working with US-based customers
3. Experience in leading teams or projects
4. Experience with high-performance computing
5. GenAi Skills, Experience with LLMs.

Job Responsibilities of this position:

1. Architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights.

2. Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value.

3. Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise-level production environments.

4. Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into Xemplar’s product ecosystem, optimizing performance and efficiency across multiple teams.

5. Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models.

6. Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes.

7. Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement.

8. Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact.

Required Relevant Experience:

1. 5+ years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions.
2. Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning.
3. Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.G., TensorFlow, scikit-learn, PyTorch).
4. Extensive experience with data wrangling, feature engineering, and working with large, complex, high-volume datasets.
5. Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments.
6. Deep understanding of the P&C Insurance domain, with specific experience in areaslike claims prediction, risk modeling, pricing optimization, and customer segmentation.
7. Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels.
8. Significant hands-on experience working with both structured and unstructured data atscale, with expertise in cloud platforms, distributed computing, and big data technologies.
9. 5+ years of experience in predictive model development, data mining, statistical modeling, and high-performance computing in complex enterprise environments.

Years of experience required: 3 to 5+ years

Location: Hyderabad

Mode of work: Work of Office (All 5 days a week Work from office)

Who we are

Nirvana is on a mission to modernize commercial insurance and enable a safer world. Our technology platform delivers modern insurance & risk management to not only help our customers protect their businesses, but actually improve safety for everyone.

To start, we’re transforming the legacy, $750B+ commercial insurance industry through cutting-edge predictive models using real-time IoT data (~50B connected devices by 2030), automation to deliver instantaneous quotes & faster underwriting, & proactive, and data-driven insights to help customers prevent accidents.

Backed by top-tier VCs including General Catalyst & Lightspeed Ventures, Nirvana became the fastest insurtech EVER to launch in Jan 2022 and crossed >
$10M run rate in under 6months, more than 2x faster than best-in-class insurtechs. Our leadership team has helped scale multi-billion dollar companies from scratch including Samsara, Rubrik, Acko & Flexport, and includes industry veterans from Hiscox, AIG, The Hartford & RLI.

About the role

At Nirvana, we work with heterogeneous datasets and mine predictive signals to accurately identify risks for businesses. Some of the data we work with includes,

• 100s of millions of GPS and sensor data points per vehicle, ingested and stored in our proprietary data platform.
• Safety events like harsh braking, distracted driving, etc computed from sensors in commercial vehicles.
• High-dimensional datasets containing, among others, decades of vehicle inspection, crash, and violation data for all commercial vehicles in the US.

As a Senior Data Scientist, you will work closely with our data engineering and insurance teams and use these large datasets to help build data-driven insurance and safety products in a fast-paced startup environment. You must enjoy working with large data and finding interesting patterns in the data through analytics experiments in a methodical and data-driven scientific way.

The insurance / risk business has many unsolved problems where sophisticated use of information plays a critical role. Join us in making an impact on the industry!

What you’ll do

• Extract actionable insights and recommendations from time series data to help our customers improve their safety
• Work closely with the insurance team to build and validate complex risk models
• Standardizing analysis methodology and building automation frameworks
• Understand data characteristics, prepare and clean large high-dimensional data sets, and define and automate robust data quality measures
• Work in cross functional teams

About you

• Graduate degree in a quantitative or technical discipline and/or 5+ years of applying advanced quantitative techniques to problems in industry
• Strong demonstrable knowledge of topics such as statistical inference, predictive analytics, probability theory, machine learning, etc
• Strong technical (written and verbal) communication, prioritization, and time management skills
• Strong programming skills with experience using modern packages in R and Python
• Demonstrated experience building, validating, and applying statistical machine learning methods to real world problems

What you’ll get from us

• Competitive compensation & meaningful equity
• Health insurance for you and your family
• Monthly wellness stipend
• Hybrid culture and reimbursement for home office equipment
• A flexible vacation policy and a team that understands building a company is a marathon, not a sprint
• A culture that gives you the autonomy you need to do great work, and the transparency you need to make good decisions
• #LI_Hybrid

#Urgent_Opening_for_Canvendor

#Hiring: Data Scientist (1 to 4 Years Experience) |Chennai| Immediate Joiners Preferred

Location: Chennai, India

Experience: 1 to 4 Years

Notice period: Immediate to 30days

Mandatory: Python, SQL, Product based company

#Key_Requirements:

-1–4 years of experience as a #Data_Scientist or in a similar role.

Exceptional problem-solving ability – simplify complexity and derive first-principles solutions.

-Strong ownership mindset – not just delivering outputs, but ensuring problems are truly sloved.

-Proficient in #Python & #SQL, Excel, with ability to apply #ML, Deep Learning, --#Data_Visualisation techniques and time-series techniques where appropriate.

-Experience working with large-scale, messy, real-world datasets.

If interested kindly share your updated CV to

Work experience : 6-8 years

Domain Preferences : Financial services preferred, any other domain can be explored

Skill preferences: Product cross-sell strategy, Project management, Stakeholder management, Risk analytics, AI/ML predictive modelling

Technical preferences: SQL, Python, PySpark, experience working on Cloud platforms like GCP/AWS/Azure

Role & Responsibilities :

1. The candidate will be a part of Cross-Sell Analytics & Data Science vertical working on building organization wide cross-sell programs across financial products
2. They would work closely with various internal & external stakeholders to design Cross-Sell programs & GTM strategies
3. They should demonstrate delivery both Business Analytics & Statistical Modelling solutions
4. They should be able to articulate & present analytical solutions to senior management
5. They should have a basic understanding of data engineering process, ETL, automations, & working on Cloud Data Platforms would be an added advantage
6. They should manage expectations with stakeholders to ensure timely delivery of projects
7. They should be highly energetic & solution-oriented with a positive attitude towards solving any business problem
8. They would be expected to guide and mentor a team of junior data analysts & scientists to deliver quality projects on a timely manner