1 Opening(s)
4.0 Year(s) To 15.0 Year(s)
30.00 LPA TO 90.00 LPA
Job Role : Data Scientist
Location: Tokyo, Japan ( onsite)
Exp: 4+ Years
Experience with ML models is a must Proven experience as a Data Scientist, Data Analyst, or similar role, specifically in the Telecom domain or with/for a Telecom company involved in OPEX analysis. Strong knowledge of statistical analysis, data modeling, machine ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 34.00 LPA
Data Scientist – Banking and Risk Management
Role Summary:
The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions.
Key Responsibilities:
Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking.
Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 40.00 LPA
Job Description:
Responsibilities
Lead and enhance the IA Data Driven Review program by analyzing data, providing insights, and ensuring continuous quality improvement.
Own and manage the continuous monitoring analytics, tracking key risk indicators, identifying emerging risks, and communicating them to guide audit planning.
Develop and implement data analytics solutions to support various audits, including ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
4.00 LPA TO 6.00 LPA
Job description: Responsibilities: Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. ...
5 Opening(s)
10.0 Year(s) To 14.0 Year(s)
35.00 LPA TO 38.00 LPA
Requirements • 10+ years of strong experience with data transformation & ETL on large data sets • Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale etc.) • 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data) • 5+ years of ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Required Skills : ETL, SSIS, SSRS Skills:
• Proven ETL, SSIS and SSRS experience
• Good SQL Server and database design skills
• Should have ability to write good T-SQL code
• Good communication and interpersonal skills with superb attention to detail.
• Proactive and innovative, you must also have the ability to work under ...
2 Opening(s)
8.0 Year(s) To 25.0 Year(s)
10.00 LPA TO 25.00 LPA
Data Analytics Lead (8+ years)
Analyze and document reporting requirements
Design BI report layouts, model and prepare mapping
Design the semantic layer
Design reporting and analytics templates
Evaluate and improve existing BI Systems
Prepare BI security strategy
Azure data engineering Lead (8+ years) –
Participate in requirement gathering and analysis with SMEs
Design and build the overall integrations for ...
3 Opening(s)
5.0 Year(s) To 10.0 Year(s)
3.00 LPA TO 6.00 LPA
Competencies Functional
Excellent fluency in English(written and verbalcommunication). Proven experience managinglarge-scale professionalprojects, ideally inmanufacturing. Highly proficient withtechnology tools such asGoogle Suite (Docs, Drive,Sheets) and Microsoft OfficeSuite, with advanced Exceland Power BI skills. Hands-on experience usingProject ManagementSoftware (e.g., MS Project,Asana, Trello, Primavera, orsimilar tools). Strong analytical skills to
create Excel models and ...
7 Opening(s)
3.0 Year(s) To 6.0 Year(s)
7.00 LPA TO 15.00 LPA
Statistics – UG/PG part of course curriculum, proficient with hypotheses testing and statistical inferences
Tools usage –
Power BI and equivalent, understanding of BI models with multiple data inputs
Excellent MS Excel skills – usage of pivot, statistical tests
Python/R – good to have, proficient with data wrangling techniques
Soft skills: good communication, ability to ...