Machine Programming Product Analyst Job at Sopra Steria (Bengaluru)

Balance Sheet Management Modeling – Sr. Analyst

The Balance Sheet Management Sr. Analyst is a seasoned professional role. The Sr...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-8 years of relevant statistical modeling /econometrics experience in financial domain
PG / Masters / PhD in quantitative discipline such as Statistics, Economics, Mathematics, or related discipline is preferred
Certifications such as FRM, CFA is a plus
Experience in developing econometric models and deep understanding of statistical techniques such as Linear Regression, Logistic Regression, Time Series, Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration and Machine Learning Techniques, etc.
Working experience with Artificial Intelligence/Machine Learning techniques and packages (ChatGPT, Copilot) etc.
Hands-on experience in programming and modeling using Python and related packages (GitHub, DataFlame) is must
Working knowledge of statistical packages like SAS/R is a plus
Experience with SQL and databases
Experience in excel VBA is plus
Domain knowledge and experience in PPNR, Fixed Income Securities, Mortgage Modeling, Deposit Modeling, Asset Liability Management, Interest Rate Risk, Capital Planning, etc.

Job Responsibility

End-to-end development and governance and support of models in treasury/IRRBB space
End-to-End model development includes econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes
This includes the calculation of Net Interest Income (“NII”), Non-Interest Revenue (“NIR”), Interest Rate Exposure (“IRE”), Economic Value Sensitivity (“EVS”), and other associated interest rate risk metrics
Applies analytical thinking and knowledge of statistics / modeling / data analysis tools and methodologies
Gives attention to detail when making judgments and analytical recommendations based on the analysis of information
Typically deals with variable issues with potentially broader business impact
Applies professional judgment when interpreting data and results
Model governance and support includes reviewing and timely submission of model documentations such as - Model development document (MDDs), Annual Model Review (AMRs), Ongoing Performance Assessment (OPAs), Model Change Addendum (MCAs), Limitation Record Change (LRCs) to Model Risk Management and other stakeholders
Develop and maintain a comprehensive modeling system that maintains consistent approach to data quality and modeling methods, audit, back test, tracking, annual validation which is critical in reducing the model operating risk
Must be able to present technical matters in a way that is meaningful to the audience and align with Model Risk Management on modeling and validation practices and have periodic check-ins with them

Fulltime

Data Analyst

Data Analyst role within IKEA for Business, Data & Analytics team in Group Digit...

Location

Spain , Madrid

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Have 3+ years of experience working in a fast-paced and hands-on keyboard Advanced Analytics roles working with large and complex datasets
Experience in roles such as Data Analyst, Data Scientist, Advanced Analytics consultant, or other relevant work
Enjoy translating imperfectly defined business problems into well-defined analytical problems
Have broad experience driving digital product development with analytical insights
Have proficiency in creating dynamic and possibly real-time visualisation, exploration tools, dashboards and maps to support decision making
Strong PowerBI knowledge is greatly appreciated (Tableau/Data Studio/Looker/Qlikview is also valuable)
Extensive knowledge of SQL, R/Python scripts, data wrangling, statistical and modelling libraries
Experience making back of envelope business impact estimations of potential analytical solutions
Taste for presenting results with a clear and convincing storyline
Love to automate analysis, intelligence and models that drive value

Job Responsibility

Lead the transformation of IKEA into a more data-driven company
Ensure that data and insights are frequently and widely used in IKEA for Business in Group Digital
Develop models, dashboards, and tools to answer business questions
Create data-driven segmentation and distinguish different customer profiles
Estimate business customer life-time value
Predict purchase patterns
Create meaningful target audiences
Measure campaign effectiveness
Estimate impact of loyalty programs
Analyze customer behavior online

What we offer

An intellectually stimulating, diverse and open atmosphere
Opportunity to collaborate with a team of highly talented colleagues
Opportunity to create real and measurable global impact
Flexible and modern tools (Google Cloud Platform, open-source tools)
Continuous learning
Flexible and friendly working environment in a truly value-based company

Fulltime

Senior Data Scientist, Decisions

Rocket Money is looking for a Senior Data Scientist to drive marketing efficienc...

Location

United States , San Francisco, CA; Washington, D.C.; New York City, N.Y.; Silver Spring; Miami; Denver

Salary:

180000.00 - 220000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data science
Proficiency in SQL
Proficiency in at least one scripting language
Proficiency in statistical modeling
Proficiency in engineering scalable experimentation solutions
Expert level experiment design and assessment skills
Direct experience building production grade tooling for operational use by teams of internal decision makers
Experience driving marketing and product strategy with experimental and observational data
Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
Proven ability to collaborate across teams and communicate technical insights effectively

Job Responsibility

Lead internal marketing effectiveness measurement and estimation approaches
Lead projects from start to finish
Design and conduct experiments to estimate the impact of marketing and product strategies
Lead a systematic marketing and product experimentation program
Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers
Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines
Build, test, and deliver internal facing predictive tools
Effectively design and assess experiments for a variety of user facing experiences
Mentor other members, participate in code reviews, and ensure quality in production systems
Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine

What we offer

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)

Fulltime

Azure Data Architect

Location: 100% Remote; Years’ Experience: 10+ years Professional Experience; Edu...

Location

United States

Salary:

Not provided

Sparibis

Expiration Date

Until further notice

Requirements

10+ years of experience in data science, machine learning, and statistical modeling
Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field experience
Must be able to obtain and maintain a Secret security clearance
Expertise in statistical modeling, machine learning algorithms, and data mining techniques
Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry)
Proficiency in programming languages such as Python, R, SQL, PySpark
Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
Experience with data visualization tools (e.g., Power BI)
Strong experience with data extraction, cleaning, and transformation (ETL) processes
Experience in data governance, metadata management, and data cataloging

Job Responsibility

Data Science Strategy: Develop and implement a data science strategy for the project, aligning with USMC’s strategic goals and objectives
Problem Identification: Work with USMC stakeholders to identify opportunities to leverage data to improve HR processes, such as recruitment, retention, training, and performance management
Data Exploration & Analysis: Lead the exploration and analysis of large datasets to identify trends, patterns, and insights to understand data quality, gaps, and potential enhancements
Model Development: Design, develop, and validate predictive models using machine learning algorithms and statistical techniques
Model Deployment: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability
Data Visualization: Create compelling data visualizations using tools such as Power BI to communicate insights to stakeholders
Team Leadership: Lead and mentor a team of data scientists, providing technical guidance and support
Collaboration: Collaborate with other teams, including software developers, system architects, and business analysts, and to integrate data science solutions
Data Quality: Ensure data quality and accuracy by implementing data validation and cleansing processes
Compliance: Ensure that all data science activities comply with relevant USMC and DoD regulations and security policies

Data Scientist

Assistant Vice President-Data Scientist role at Citi's Analytics and Information...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University
Minimum of 7 years of proven working experience in Data Science & ML areas
Solid theoretical and hands-on knowledge of Econometrics, Statistics, Data Mining, Machine Learning & AI concepts
Exceptional programming skills in Data Science scripting (such as Python / R)
Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, OpenAI and LangChain)
Experience in SQL and interpretation of large databases (via tools such as Hive, Spark)
Exceptional analytical and critical thinking skills with demonstrated ability to think strategically
Ability to communicate results effectively and explain technical methodologies in non-technical audience
Knowledge and experience of all phases of SDLC (including requirements analysis, design, coding, testing, defect management, and deployment)
Good understanding of Banking domain (Wealth, Cards, Deposit, Loans & Insurance etc.)

Job Responsibility

Provide quantitative and qualitative insights on user experience and data sets performance
Work with cross-functional teams and leaders within the organization on modelling for critical business decisions
Identify new opportunities for leveraging data science to improve the operational efficiency of the organization
Assimilate and incorporate business requirements and technical aspects
Assist data architect and data analyst in data gathering techniques and design processes for maintenance of databases, data accuracy and integrity
Ensure high data integrity, choosing the best tools and techniques for algorithms, frameworks, and technologies
Design and develop a new process for data modelling and production, and help businesses create and track their key performance metrics
Partner with other multi-functional teams, such as Engineering, Product Management, and Design, to collaborate on projects
Set goals and metrics and define KPIs to measure and track the improvement of the data analytics process
Analyze the data modelling, revenue generation, and targeting

Fulltime

Junior Analyst – Manufacturing

Project Execution : CNC Machines - Assembly & Testing, Application Engineering –...

Location

India , Bangalore

Salary:

Not provided

Kennametal

Expiration Date

Until further notice

Requirements

B.E. – Mechanical
2 to 5 years’ experience in machine tool industry, preferably in VTL (Vertical Turning & Milling Machines) / SPMs Special Purpose Machines) / HMCs (Horizontal Machining Centers) / VMCs ( Vertical Machining Centers)
Should have involved in machine building & installation at Customer site (preferred)
Should have good knowledge in Manufacturing Process of CNC machines, hands on experience in CNC programming & component prove out, cycle time establishing & trouble shooting
Should have exposure to Lean Manufacturing Systems, Quality Management Systems
Should have good knowledge & exposure to Environmental Health & Safety compliances & practices
Skills – Technical, analyze drawings, Multi-tasking, Analytical, Soft skills – data collation & analysis, presentations
Engineering Certificate
Driving License
Indian Passport

Job Responsibility

Will be responsible for machine assembly, testing & component prove out.
Will be responsible for machine commissioning & component prove out at Customer site.
Interface for project execution with cross functional teams – Sales, Design, SCM, Inspection, Electrical & Logistics
Ensure safety compliance at workplace.
Productivity Improvements & participation in lean projects, initiatives

AI and Machine Learning Engineer

AI and Machine Learning Engineer role at Hewlett Packard Enterprise focusing on ...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master's degree is desirable
Typically 5-7 years' experience
Deep understanding of machine learning algorithms such as linear regression, decision trees, support vector machines, random forests, deep learning models, and reinforcement learning
Strong foundation in mathematics and statistics including linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with software engineering best practices, version control systems, and software development methodologies
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras
Proficiency in using agentic frameworks like langGraph or similar frameworks
Knowledge in lineage tracking of agentic architectures

Job Responsibility

Conduct advanced research in AI and machine learning
Stay up to date with latest advancements in the field
Explore emerging technologies and identify opportunities to apply cutting-edge techniques
Evaluate traditional AI/ML and Gen-AI based applications during development phase and in production
Design solutions considering scalability, performance, and maintainability
Provide technical guidance and mentorship to junior team members
Collaborate with cross-functional teams including product managers, data scientists, and business analysts
Drive continuous improvement and innovation in AI and machine learning practices
Evaluate and integrate third-party tools or services
Facilitate design review sessions

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

New

Senior Data Engineer

As a Senior Data Engineer at Arrive Logistics, you will build and own the data e...

Location

United States , Austin

Salary:

Not provided

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years experience in data engineering
Expert proficiency in SQL and strong programming skills in Python
Proven experience building and orchestrating data pipelines using dbt and Airflow
Hands-on experience developing data solutions in a major cloud environment, with a strong preference for Microsoft Azure
Solid understanding of BI-tooling integrations with a cloud data warehouse, with a strong preference for PowerBI
Solid understanding of event-driven architecture and the use of messaging systems like Kafka to enable real-time data flow
Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift
Familiarity with CI/CD, microservice architecture, domain driven design, data contracts
Solid understanding with best practices around data security/privacy, role-based access control

Job Responsibility

Design, build, and optimize robust, scalable, and reliable data pipelines to ingest and process data from a wide variety of sources
Develop and maintain our data warehousing solutions (e.g. Snowflake), including maintenance of an advanced RBAC model to ensure data governance throughout all data tooling
Ensure data quality and integrity by implementing data validation frameworks, monitoring systems, and anomaly detection protocols
Architect and manage cloud-based data infrastructure
Orchestrate batch machine learning pipelines
Work closely with data scientists to orchestrate code based on data science and product requirements, getting alignment on optimizations when necessary
Collaborate with stakeholders, including data scientists, analysts, and product managers to understand data requirements and deliver actionable solutions
Improve performance, efficiency and optimize cost of existing data systems and processes
Work alongside Data and Engineering leadership to weigh tradeoffs in build vs buy decisions and tradeoffs in product roadmap vs technical initiatives
Work with internal software engineering teams to define architectures and best practices for ingesting data into the data warehouse and making aggregated data and metrics from the data warehouse available to our production applications

What we offer

Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage
Invest in your future with our matching 401(k) program
Build relationships and find your home at Arrive through our Employee Resource Groups
Enjoy office wide engagement activities, team events, happy hours and more
Leave the suit and tie at home
our dress code is casual
Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown
Park your car for free on site
Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew
Sweat it out with the team at our onsite gym

Fulltime

Machine Programming Product Analyst

Sopra Steria

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
January 24, 2026

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