11+ Predictive modelling Jobs in Pune | Predictive modelling Job openings in Pune

Job Requirement :

• 3-5 Years of experience in Data Science
• Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools.
• Bachelors/ Masters in Data Science, Statistics, Computer Science, Business Intelligence,
• Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
• Ability to think strategically and translate data insights into actionable business recommendations.
• Excellent problem-solving and analytical skills
• Adaptability and openness towards changing environment and nature of work
• This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business.

Job Roles & Responsibilities:

• Conduct in-depth analysis of large-scale datasets to uncover insights and trends.
• Build and deploy predictive and prescriptive machine learning models for various applications.
• Design and execute A/B tests to evaluate the effectiveness of different strategies.
• Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making.
• Stay up-to-date with the latest advancements in data science and machine learning.

A Financial Research Analyst is responsible for gathering, analyzing, and interpreting financial data to support investment decisions, business strategies, or financial forecasting. Their primary role is to provide insights and recommendations based on their research to help guide the organization or clients in making informed financial decisions.

Key Responsibilities:

Data Collection & Analysis:

• Gather financial data from various sources (e.g., financial statements, market reports, industry trends, etc.).
• Analyze financial information, including profit and loss statements, balance sheets, and cash flow reports.

Market and Industry Research:

• Research industry trends, economic conditions, and market conditions to identify investment opportunities or risks.
• Track competitor performance and benchmarking.

Financial Modeling and Forecasting:

• Build and maintain financial models to project future performance, such as forecasting revenue and expenses.
• Use quantitative tools to evaluate investment options and potential financial outcomes.

Report Creation:

• Prepare detailed reports summarizing findings, analyses, and recommendations for internal stakeholders or clients.
• Present research findings to management, clients, or investors in a clear and concise manner.

Investment Recommendations:

• Provide recommendations for investment opportunities, such as stocks, bonds, or alternative investments.
• Assist with the evaluation of portfolios and asset management strategies.

Risk Assessment:

• Assess financial risks related to investments, projects, or business decisions.
• Recommend risk management strategies based on data analysis.

Collaboration & Communication:

• Work closely with other teams, such as investment managers, accountants, or business strategists, to align research with broader business objectives.
• Communicate findings and insights clearly to both financial and non-financial stakeholders.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

Your duties include

• Database development using T-SQL on MS SQL Server
• API Development using ASP.Net WEB API and C#
• R & D for available solutions and 3rd party API integrations
• Comparative Analysis of different approaches and finding optimal solutions
• Supporting existing applications in SQL, ASP.NET WEB API, C#, Angular or TypeScript

SKILLS

• Should have hands-on Experience in .NET Core, Asp.Net, MVC, Entity Framework, SQL Server with Good Communication skills.
• Use Microsoft technologies: C#, ASP.NET, SQL, MVC, and Microsoft Workflow to develop technical solutions to complex problems that require the regular use of ingenuity and creativity
• Design, code, test, debug and document software according to the functional requirements
• Develop, maintain and support programs/tools for internal and external clients
• Analyse, diagnose and resolve errors related to their applications
• Help define project plans requiring software development and hardware installations
• Provide technical and project management expertise across multiple areas of application development
• Investigate operational or systematic problems and user queries as required.
• If the candidate has experience in MVC / Angular / Azure / Xamarin, it would be an added advantage.

Education

Bachelor’s or Master’s degree in Computer engineering or relevant field
Students working towards their degree and with sufficient experience will be considered.
Qualifications-BCA, BE/B.Tech(Information Science/Technology (IS/IT)), MCA, ME/M.Tech(Information Science/Technology)

• 5+ years of experience as a Full Stack front end developer
• Proficient understanding of web markup, including HTML5, CSS3.
• Good understanding of client-side scripting and advanced JavaScript libraries/frameworks, AngularJS
• Good understanding of asynchronous request handling, knowledge of AngularJS practices and hand on implementation of complex AngularJS applications, directives, controllers, services.
• Good understanding of AJAX and JavaScript Dom manipulation Techniques.
• Experience in JavaScript build tools like grunt or gulp.
• Proficient with the JavaScript language and its modern ES6+ syntax and features.
• Proficient with .NET framework and its core principles
• Proficient understanding of code versioning tools, such as GIT/Bitbucket.
• Critical thinker and problem-solving skills.
• Good time management skills.
• Great interpersonal and communications skills.

• Bachelor’s Degree in Computer Science or equivalent
• 8-12 years’ of industry experience in programming web applications, mobile and/or large scale enterprise products
• Deep knowledge of C#, ASP, .NET, MVC, .Net core
• Deep knowledge and extensive experience working on Ruby or React and JavaScript, as required
• Experience with XML, ADO/ADO.NET, LINQ, AJAX, IIS
• Extended experience with SQL, relational and non-relational databases
• Experience in TFS and Visual Studio
• Hands on experience with SDLC and programming design patterns
• Experience with Agile methodology
• Skillful at reviewing new feature impact on an application and recognizing potential risks
• Uses time effectively and efficiently
• Quickly learns new technologies
• Detailed oriented, professional and possesses a positive work attitude
• Communicate professionally both verbally and in writing
• Effective time management skills
• Knowledge on UI technologies will be plus

PRINCIPAL DUTIES AND RESPONSIBILITIES:

• Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes, investigating problem areas, following the software development lifecycle.
• Conducts systems analysis and makes recommendations to improve the system to achieve an outcome.
• Promotes internal best practices and coding conventions to write and execute tests for your own code, including creating comprehensive unit tests.
• Contributes to Technical Requirements Documents.
• Requests constructive feedback for designs early in the process.
• Communicates successfully with large teams and many stakeholders.
• Provides mentorship for Software Engineers and participates in interview panels to hire new Software Engineers.
• Assists in removing obstacles for the team to yield successful sprints.
• Performs peer code reviews to ensure quality of the codebase.
• Ability to decompose and delegate work to junior engineers.
• Updates job knowledge by studying state-of-the-art development tools, programming techniques and computing equipment; participating in educational opportunities, reading professional publications, maintaining personal networks, participating in professional organizations.
• Works effectively with multiple projects and features.
• All other duties as assigned.