363 Data Science Manager jobs in Noida

JOB DETAILS

•Owning the technical roadmap for evolving the data platform to support the future needs of the business
•Providing thought leadership and mentoring to the data engineering team on how data should be stored and processed more efficiently and quickly at scale
•Maintaining the big data platform and driving toward better SLA & cost optimization for the engineering and business teams
•Partnering closely with Engineering, Data Science, and various business teams to deliver all required data assets and ensure data quality and timeliness
•Working with data engineers to create services that can ingest and supply data to and from external sources
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This is a full-time on-site role for a Financial Data Analyst at Efforts Solutions IT. The Financial Data Analyst will be responsible for conducting data analysis and financial analysis tasks on a day-to-day basis. They will utilize their analytical skills and expertise in finance to gather, interpret, and present financial data. The role will be based in Istanbul.

**Qualifications**:
Data Analytics, Data Analysis, and Financial Analysis skills

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Experience in financial analysis and modeling

Knowledge of finance and accounting principles

Proficiency in financial software and tools

Bachelor's degree in Finance, Accounting, Economics, or related field

Excellent problem-solving and critical-thinking abilities

Strong written and verbal communication skills

Ability to work in a team and collaborate effectively

Experience with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus

**Salary**: ₹30,000.00 - ₹35,000.00 per month

Schedule:

- Day shift

Work Location: In person

Key Duties & Responsibilities

• This role will require to work independently or in team to solve data problems with unstructured data
• Collaborate with other team members and other disciplines to deliver project requirements
• Work independently to complete allocated activities to meet timeframe and quality objectives and meeting or exceeding client expectations
• Develop effective materials for clients, making sure that their messages are clearly conveyed through the appropriate channel, using the language that is suitable for the intended audience and readers, and would induce the desired response
• Actively contribute to ArcadisGlobal Communities of Practice relevant to Project Management, Data Visualization, and Power Platform, through knowledge shares and case study presentations
• Actively contribute to the Digital Advisory community of practice, through development of integrated solutions that embed GEC capabilities into core advisory business
• Data Engineering, Management, and Visualization
• Experience in manipulating, transforming, and analyzing data sets that are raw, large, and complex
• Demonstrates ability to plan, gather, analyze, and document user and business information
• Incorporates, integrates, and interfaces technical knowledge with business / systems requirements
• Understanding of all aspects of an implementation project including, but not limited to planning, analysis and design, configuration, development, conversions, system testing, cutover and production support
• Produce written deliverables for requirement specifications and support documentation: process mapping, meeting minutes, glossaries, data dictionary, technical design, system testing and implementation activities
• Collect and organize data, data warehouse reports, spreadsheets, and databases for analytical reporting
• Strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries
• Experience in creating automated data extraction pipeline from various sources like API, Databases in various formats
• A problem solving, solution driven mindset with the ability to innovate within the constraints of a project time/cost/quality

Qualifications and Experience:

• BS/MS or BCA/MCA or bachelors/masters degree in Math, Statistics, Computer Science, Engineering, or another technical field
• Experience required: 5+ years
• Experience in Data engineering with PythonR
• Experience in SQL, MS-SQL Server, or other relational databases
• Azure Cloud Service experienceAWSGoogle Could Service (Optional)
• API automated Data extraction pipeline
• Experience in developing and maintaining integrated visualization reports in PowerBI (Optional)
• Experience with software deployment project lifecycle phases requirements gathering, planning, testing, delivery, enhancements, support
• Experience in Project Management (Preferred)
• Exceptional communication skills and fluency in English (professional level)

Skills Required
Project Management, Sql, Python

Company: NEC Corporation India Private Limited
- Employment Type:

- Office Location: Noida, UP, IN, 201305
- Work Location: On Site
- Req ID: 4173
- Description:

- **Job Title**: Software Engineer

**Organization Name**:NEC Corporation**of India Ltd.

**Reporting Relationship**: AGM

**Required Skills**:

- Hands on experience in Qlik Sense development, dashboarding and data modelling and reporting (ad hoc report generation) techniques.
- Experience with creating Nprinting reports.
- Must be good at Data transformation, the creation of QVD files and set analysis.
- Strong SQL skills. Experienced in RDMS such as MS SQL, PostGreSQL Server, Oracle etc.
- Hands on experience in deploying single and multi-node configurations, using the QMC, working on Qlik Sense enterprise, adding and managing users, understanding Qlik Sense licensing and token configuration, data and system security, adding and managing data connections, monitoring and troubleshooting system errors.

KEY RESPONSIBILITIES:

- Responsible to deliver the technical insights and interpret the data reports to the clients. Also helps in understanding and serving to the client’s requirements.
- Able to comprehend and translate complex and advanced functional, technical, and business requirements into executable architectural designs.
- Creating and maintaining technical documentation.
- Demonstrated experience in end-to-end project involvement, from requirement gathering to development, implementation, and maintenance.
- Experience in quality assurance and testing of reports and dashboards.
- Experience with Mashups is a plus.

**Prerequisites**

Bachelor’s degree in computer science or a related field with over minimum 5 years of relevant experience.

**Base Location**: Noida

**Specialization Description**:
Business Intelligence (BI) Data Analysis work includes:

- Analyzing business intelligence data to inform business and product decisions
- Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses
- Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends
- Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies

**Level Description**:
Entry to developing level professional with little or no prior experience required. Applies a broad theoretical job knowledge typically obtained through advanced education. Work is closely supervised. Works to deliver day-to-day objectives with limited impact on achievement of results for the job area. Explains facts, policies and practices related to job area. Problems faced are not typically difficult or complex.

Headquartered in Japan, NEC is a leader in the integration of IT and network technologies. With over 123 years of expertise in providing solutions for empowering people, businesses, and society, NEC stands tall as a champion in enabling change and transformation across the globe. Present in India since 1950, NEC has been instrumental in burgeoning India’s digitization journey continually for the past 70 years.

NEC India has proved its commitment to orchestrating a bright future through its diverse businesses from **Telecommunications to Public Safety, Logistics, Transportation, Retail, Finance, Unified Communication and IT platforms**, serving across the public and private sectors. NEC India, through the deployment of cutting-edge technology, has been powering India in seminal ways, making lives easier, safer, and more productive for all.

With its Centre of Excellence for verticals like **Analytics platform solutions, Big Data, Biometrics, Mobile and Retail**, NEC India brings to the table, innovative, seamless solutions for India and across the world.

NEC India is headquartered in New Delhi and has its offices panned across the country. It has branches in **Ahmedabad, Bengaluru, Chennai, Mumbai, Noida and Surat.**

**Specialties**:
IT & Networking Solutions, Unified Communication Solutions, Safety and Security Solutions, Integrated Retail Solutions, Data Centre Solutions, Safe and Smart City Solutions, Transportation Solutions, SDN Solutions, Carrier Telecom Solutions, and Solutions for Society.

**NEC Career Site** -**LinkedIn

This Data Science Project Manager position will directly report to the Director of Data Science.

We are on an exciting journey to build and scale our advanced analytics practice; in this position, you will apply your skills to unlock opportunities and enable top strategic priorities. You will be working on problems that require advanced analytics applications to create value for diverse business functions such as supply chain, pricing, Industrial IOT & digital factory implementation, digital marketing, and sales growth, and will impact business units that span through multiple geographic areas.

Responsibilities

• Independently lead and deliver a few analytics projects at a time. Acts as the analytics translator and negotiator between the business and data science teams.
• Understand project scope/requirements, define and own the successful delivery of analytics projects on time and on budget.
• Drive technical and business teams to meet project milestones through collaboration and influence
• Own all communication channels pertaining to assigned projects, including regular stakeholder review meetings
• Work closely with the business and segment analytics leads to help drive adoption of proven and deployed analytics solutions
• Track business impact/value enabled through analytics solutions
• Train and mentor junior project managers

Qualifications
• 3+ years of experience in project managing advanced analytics (AI/ML) projects
• Effective communicator in driving conversations and aligning expectations with business leaders. Must have experience presenting projects to senior business and technical executives.
• Experience in leading cross-functional and globally dispersed project team
• Experience with data science, data visualization tools, including R, Tableau, Power BI, and Python

We Value
• Ability to operate and perform in a fast-paced environment managing few projects at a time
• Experience in Agile-Scrum methodology, certification will be ideal
• Excellent problem-solver
• Comfortable dealing with ambiguity

JOB DETAILS

1.Partner closely with Product, Design, Customer Success, and Business Operations to drive impact through the product lifecycle.
2.Develop objectives and metrics, ensure priorities are data-driven, and balance short-term and long-term goals.
3.Develop deep analytical insights to inform and influence product roadmaps and business decisions and help improve the consumer experience.
4.Provide detailed documentation of research insights, change recommendations, and product decisions.
5.Prepare reports of findings, illustrate data graphically, and translate complex findings into written text and presentations.
6.Translate the product vision into a set of detailed, comprehensive workflows, change impacts, and product requirements.
7.Collaborate with stakeholders, product management, UX/UI and technical leads to define and detail product features and capabilities in sufficient detail to inform developers.
8.Collaborate with the Product Owner to build and maintain product roadmaps.
9.Communicate with relevant stakeholders, regarding product development status and progress.
10.Evaluate potential product enhancements or changes to determine business benefits and costs.
FUNCTIONAL AREA
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JOB DETAILS

1.Partner closely with Product, Design, Customer Success, and Business Operations to drive impact through the product lifecycle.
2.Develop objectives and metrics, ensure priorities are data-driven, and balance short-term and long-term goals.
3.Develop deep analytical insights to inform and influence product roadmaps and business decisions and help improve the consumer experience.
4.Provide detailed documentation of research insights, change recommendations, and product decisions.
5.Prepare reports of findings, illustrate data graphically, and translate complex findings into written text and presentations.
6.Translate the product vision into a set of detailed, comprehensive workflows, change impacts, and product requirements.
7.Collaborate with stakeholders, product management, UX/UI and technical leads to define and detail product features and capabilities in sufficient detail to inform developers.
8.Collaborate with the Product Owner to build and maintain product roadmaps.
9.Communicate with relevant stakeholders, regarding product development status and progress.
10.Evaluate potential product enhancements or changes to determine business benefits and costs.
FUNCTIONAL AREA
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We are looking for an experienced candidate to join our team in Mumbai. Market Risk ADTV Data teams mission is to help ensure valid Average Daily Traded Volume (ADTV) data is fed into our in-house Gross Market Concentration (GMC) risk and Strategic Stress liquidity add-on calculations. GMC is a limit framework used by the firm s Credit Officers to approve trades and manage concentrated positions at the counterparty level versus the size of the traded market measured by ADTV. The team works closely with internal stakeholders to ensure any data quality issue is remediated in a timely manner for accurate risk computation. We are also responsible for onboarding new ADTV sources which would enhance accuracy in concentration risk calculation and reporting.

Job Responsibility

• Analyze and verify ADTV time series data used for concentration risk and liquidity add-on calculations across several asset classes;
• Identify spurious data like spikes and gaps, and liaise with stakeholders for remedial action;
• Interpret data, analyze results, and summarize complex data into understandable and actionable insights for decision-makers;
• Define data quality metrics and produce periodic KPI reports distributed to stakeholders, control functions and senior management;
• Onboard new ADTV sources to ensure accurate risk measurement;
• Participate in projects relating to control issues/enhancements for ADTV data quality, accuracy and completeness;
• Partner with Technology teams to provide requirements for various data sourcing and remediation projects, ensuring execution aligns with expectations; and Oversee periodic audit processes to ensure adherence to internal controls and compliance with regulatory bodies.

Overall, the candidate will need to work closely with teams in New York, London, and India, and will need to be proactive in improving the overall quality of market data time series and developing business solutions to provide insights for the firm s risk management in Market Risk and Counterparty Credit Risk.

Required qualifications, capabilities, and skills

• Bachelor s or master s degree in STEM, Finance or relevant fields; and Knowledge of market risk concepts and various financial products across asset classes;
• Experience with performing statistical analysis on large and unstructured datasets;
• Proficiency in Microsoft Excel, using advanced formulas, pivot tables, etc. and robust control mindset to identify gaps in data production and data control processes;
• Ability to think critically and solve problem independently in a deadline oriented environment; and Ability to multitask and work under pressure with keen attention to detail;
• Excellent verbal/written communication and presentation skills; and Proficiency in both technical and procedural documentation;
• Enthusiasm for knowledge sharing and ability to collaborate effectively

Preferred qualifications, capabilities, and skills

• Excellent interpersonal skills with an ability to develop effective and credible relationships;
• Ability to understand business processes and their risk implications, analyze complex situations, reach appropriate conclusions, and make feasible recommendations;
• Experience with Python, in particular Pandas and Numpy, for data analysis;
• Qualifications like CFA/FRM are an added advantage.

Role:  Data Analyst

Industry Type:  Financial Services

Department:  Data Science & Analytics

Employment Type:  Full Time, Permanent

Role Category:  Business Intelligence & Analytics

Education

UG:  Any Graduate

PG:  Any Postgraduate

Skills Required
Risk Management, Data Analysis, Data Quality, Auditing, remediation , Business Solutions, Market Data, Excel, Python, Market Risk

Description

:

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. The Data Science Analyst will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. The role will also contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. The individual will work with cross functional stakeholders.

Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement.

Apply machine learning techniques to identify data patterns and trends, and provide insights to enhance business decision-making capabilities in business planning, process improvement, solution assessment, and other areas.

Develop and implement machine learning models for predictive analytics, forecasting, and optimization.

Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions.

Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems.

Develop tools and techniques to evaluate the performance and impact of AI solutions.

Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate findings clearly and effectively to business partners and senior leaders.

Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities, with a focus on cutting-edge AI technologies.

Work closely with internal and external business partners in building, implementing, tracking, and improving decision strategies.

Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing, and reporting control issues with transparency.

Skills and Experience:

As a successful candidate, you should ideally have the following skills and exposure:

7+ years of relevant experience in data science, machine learning, or a related field.

Advanced process management skills, organized and detail-oriented.

Curious about learning and developing new skill sets, particularly in the area of artificial intelligence.

Positive outlook with a can-do mindset.

Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers.

Experience with statistical modeling techniques, including regression, classification, and clustering.

Experience building GenAI solutions using LLMs and vector databases.

Experience with agentic AI frameworks, such as Langchain,Langraph, MLOps

Experience with data visualization tools such as Tableau or Power BI.

Must Have Other Skills: Strong Logical Reasoning Capabilities, Willingness to learn new skills, Good Communication and presentation skills

Education:

Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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