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Techneplus | Hiring | Data Scientist | BigDataKB.com | 1/11/2022

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Techneplus

Noida

IT Service

  • Implement scalable machine learning and optimization algorithms that will be used in production on big data.
  • Evaluate the performance of the data science projects
  • Should be able to deploy the production ready solution in MLOps frameworks

Qualifications:

  • 5-7 years experience in data mining, predictive modeling, time series analysis, machine learning, big data methodologies, transformation and cleaning of both structured and unstructured data.
  • Experience in applied Deep Learning is a plus.
  • Degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science
  • Strong problem solving and coding skills (Python or R)
  • Excellent oral and written communication skills.
  • Proficiency and demonstrated experience in at least 2 of the following: Python, R, SQL, Spark
  • Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn)
  • Basic understanding of working on cloud based environment(Azure would be a plus but not an absolute mandate )
  • Familiarity with MLOps framework is a plus (Kubeflow, MetaFlow, Iguazio)
  • Familiarity with Operation Research is a plus (Gurobi, Baron, Linear Programming, MILP)

Job Type: Full-time

Pay: ₹1,500,000.00₹2,500,000.00 per year

Schedule:

  • Day shift

Experience:

  • Data analytics: 10 years (Preferred)

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ZS | Hiring | Data Science Associate Consultant (Pune, India) | BigDataKB.com | 1/11/2022

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ZS

Pune

Consulting

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ZS
is a professional services firm that works side by side with companies to help develop and deliver products that drive customer value and company results. From R&D to portfolio strategy, customer insights, marketing and sales strategy, operations and technology, we leverage our deep industry expertise and leading-edge analytics to create solutions that work in the real world. Our most valuable asset is our people—a fact that’s reflected in our values-driven organization in which new perspectives are integral and new ideas are celebrated. ZSers are passionately committed to helping companies and their customers thrive in industries ranging from healthcare and life sciences, to high-tech, financial services, travel and transportation, and beyond.

ZS’s India Capability & Expertise Center (CEC)
houses more than 60% of ZS people across three offices in New Delhi, Pune and Bengaluru. Our teams work with colleagues across North America, Europe and East Asia to create and deliver real world solutions to the clients who drive our business. The CEC maintains standards of analytical, operational and technological excellence across our capability groups. Together, our collective knowledge enables each ZS team to deliver superior results to our clients.

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ZS’s Business Consulting group
partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.   Â

DATA SCIENCE ASSOCIATE CONSULTANT
Data Science Associate Consultants (DSACs) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions.

Responsibilities:
  • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner;
  • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information;
  • Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings;
  • Evaluate emerging datasets and technologies that may contribute to our analytical platform;
  • Participate in development of select assets/accelerators that create scale;
  • Contribute to thought leadership through research and publication support;
  • Guide and mentor Associates on teams.

Qualifications
:
  • PhD degree in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework is required;
  • In lieu of a PhD, 3-5 years of relevant post-collegiate work experience;
  • Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
  • Knowledge of programming (e.g. Java/Python/R);
  • Exposure to tools/platforms (e.g. Hadoop eco system and database systems);
  • Agile project planning and project management skills;
  • Relevant domain knowledge preferred; (healthcare/transportation/hi-tech/insurance);
  • Excellent oral and written communication skills;
  • Strong attention to detail, with a research-focused mindset;
  • Excellent critical thinking and problem solving skills;
  • High motivation, good work ethic and maturity.
Â

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ZS is a global consulting firm. Fluency in English is required; additional fluency in at least one European or Asian language is desirable.
Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
ZS offers a competitive compensation package with salary and bonus incentives, plus an attractive benefits package.
NO AGENCY CALLS, PLEASE.

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Deloitte | Hiring | Graph Data ScientistDeloitte AI Center of Excellence(CoE) | BigDataKB.com | 1/11/2022

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Deloitte

Bangalore

Accounting

Position Summary

Deloitte’s Risk & Financial Advisory Services (Advisory) helps organizations effectively navigate business risks and opportunities — from strategic, reputation, and financial risks to operational, cyber, and regulatory risks — to gain competitive advantage. We are the business leaders in risk management, and work with a vision to make the world trustworthy, and safe. Our clients are large, complex organizations that constantly evolve and innovate to build better products and services. Our teams help clients embrace complexity, accelerate change and manage the various risks that they may encounter during this process.

At Advisory, we are creating a world-class Artificial Intelligence and Machine Learning (AI/ML) capability to enhance existing services and empower our clients. Our focus is on bringing data, AI/ML, and technology together with our deep expertise in multiple industries to drive new product development and significant automation/efficiencies.

We are seeking to grow our team with brilliant and diverse contributors with strong technical ability. We are looking for talented Graph Data Scientists with experience in building robust data stores that supply network graph data.

Work you’ll do

As a Graph Data Scientist working for the Advisory AI Center of Excellence (CoE), you’ll collaborate and work with teams across the firm to support the development and maintenance of scalable data stores that supply network graph data to support analytics and machine learning.

You’ll:

  • Lead data engineering projects to build large scale, high-performance graph data storage and pipelines that are reliable, efficient, testable, & maintainable
  • Work with technical team and senior management stakeholders to understand their data and translate to technical specifications
  • Support the business teams to identify patterns and relationships between complex entities and concepts through the use the graph databases
  • Work with the technical team and broader technology teams to apply and implement leading-edge principles, theories, and concepts on graph storage
  • Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
  • Participate and contribute to the creation of proofs of concept as part of pursuit / sales cycles
  • Contribute to the creation and maintenance of documentation, user guides, and training materials

The team
The Advisory AI CoE is a core group of highly specialized individuals whose mission is to transform a $1.5B business through AI/ML technologies. Our team helps the business by partnering and strategically advising them on identifying opportunities and applying AI/ML technologies to enhance business solutions and processes.

Deloitte has been recognized as a leader by a number of independent analyst firms. Gartner named Deloitte as #1 for its vision in Analytics and Data Services. Source: Gartner’s 2020 Data and Analytics Service Providers Magic Quadrant. Reproduced under license.


Qualifications and Experience


Required:
  • Bachelor’s degree in (any of) Engineering, Information Technology, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, or related fields
  • 6 years’ experience in Data Engineering or similar role
  • Experience with network graph database platforms like neo4j, Azure CosmosDB, and Amazon Neptun
  • Experience with graph programming languages, including Gremlin, or SPARQL
  • Experience in Python
  • Excellent verbal and written communication skills

Preferred:
  • Master’s or advanced certifications in Information Technology, Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics or related fields
  • Experience with deploying large scale graph databases to cloud platforms (AWS, Azure)
  • Effectively work across team boundaries to establish overarching data architecture, and provide guidance to individual teams
  • Proficiency in Linux environment (including shell scripting and experience with version control practices and tools (Git, Perforce, etc.)
  • Familiarity with containerization technology such as Docker, Kubernetes

Recruiting tips

Finding the right job and preparing for the recruitment process can be tricky. Check out tips from our Deloitte recruiting professionals to set yourself up for success. Check out recruiting tips from Deloitte recruiters.

Benefits

We believe that to be an undisputed leader in professional services, we should equip you with the resources that can make a positive impact on your well-being journey. Our vision is to create a leadership culture focused on the development and well-being of our people. Here are some of our benefits and programs to support you and your family’s well-being needs. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our people and our culture make Deloitte a place where leaders thrive. Get an inside look at the rich diversity of background, education, and experiences of our people. What impact will you make? Be inspired by the stories of our people.

Professional development

You want to make an impact. And we want you to make it. We can help you do that by providing you the culture, training, resources, and opportunities to help you grow and succeed as a professional. Learn more about our commitment to developing our people.

Requisition code: 47038

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Microsoft | Hiring | Data Scientist | BigDataKB.com | 1/11/2022

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Microsoft

Hyderābād

Computer Hardware & Software

We are looking for very strong engineers who is passionate about end to end engineering (design, implement, deploy and monitor), technical challenges and customer scenarios.
Our engineering team will tackle a wide variety of problems. The candidates can expect to build a wide range of skills and experiences in this role. The candidates should have experience in all phases of the development cycle, preferably on large-scale commercial product / services including collaborating across the groups and cross discipline with Design, PM, and our partner teams.


Responsibilities

Responsibilities
Design/Dev, implement, ship and monitor critical components of cloud scale services

Conduct technical investigations and prototyping in a fast-paced agile environment

Work with partner teams on implementation plans, design and implementation requirements Opportunities:

Individual Contributors

Engineering Managers / Leadership


Qualifications

Responsibilities

Design/Dev, implement, ship and monitor critical components of cloud scale services

Conduct technical investigations and prototyping in a fast-paced agile environment

Work with partner teams on implementation plans, design and implementation requirements

Opportunities:

Individual Contributors

Engineering Managers / Leadership

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DBS Bank | Hiring | Data Scientist | BigDataKB.com | 1/11/2022

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DBS Bank

Maharashtra

Banks & Building Society

Position Title: Data Scientist

Department: Transformation Team

Job Purpose

To support the data driven decision making for DBS products, processes, and business through the creation of data dashboards, infographics, models per business requirement.

Key Accountabilities

  • Develop statistical learning models by using AI / ML Techniques
  • Identify insights (opportunities) for business growth and communicate results and ideas to key decision makers
  • Regular portfolio health check-ups through Business Insights and identifying areas of growth and areas of sluggishness within portfolio
  • Drive insight led actionable to help achieve portfolio targets
  • Support business in meeting the Budgets through Analytical Insights; support stakeholders in Business Reviews

Job Duties & responsibilities

  • Involve in building Machine Learning models, data science solutions and working with state-of-art data science and Machine Learning Tools such as Spark, Sklearn, Tensorflow, and will have mastery in any number of Analytic Programming languages/platforms like Python, R. etc.
  • Work with large datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the bank ranging from recommendation engines, propensity models, customer segmentation, Graph models, Credit underwriting model, pricing and more
  • Engage with business and product teams to formulate problems and create solution framework
  • End-to-End execution from data collection, analysis, feature engineering, model development, implementation (including testing) and monitoring
  • Design A/B test experiments to test the model effectiveness and analyze to identify the target segments
  • Drive the testing and deployment of the machine learning products into production
  • Excellent pattern recognition and predictive modelling skills
  • Understand the Product Journeys and help business to improve the customer experience

Required Experience

Non-technical Experience

  • Strong academic background
  • Should be self-motivated, adaptable, focused and well organized
  • Should possess a creative bent of mind and should be a strategic thinker

Technical Experience

  • 5-9 years of experience in Data Science/Analytics (consumer banking, ecommerce, retail, telecoms, technology) with demonstrated track of generating value through DS/ML/AI solutions
  • Should have full understanding of applications of DS/ML/AI solutions to various business problems
  • Proficiency in using databases like Teradata, NoSQL and Hadoop using SQL, Hive, Spark, etc.,
  • Programming experience in Python, R, Spark, SAS, TensorFlow or other machine learning oriented programming languages/platforms
  • Good understanding of technology tools especially those related to analytics, data & modelling
  • Ability to communicate complex analysis/models across a diverse team
  • Good written and oral communication skills

Education / Preferred Experience

  • B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred.
  • Prior Working experience of AI / ML / DS is must

Primary Location: India-Maharashtra-Mumbai


Job
: Analytics


Schedule
: Regular


Employee Status
:

Full-time


:


Job Posting
: Dec 21, 2021, 5:13:08 AM

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Spinnaker Corporate Advisors | Hiring | Program Counseling For Data Science | BigDataKB.com | 1/11/2022

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Spinnaker Corporate Advisors

Mumbai

1. Work on being the first point of contact for all sales-related queries and communication
2. Work on the day to day activities of all centers & coordinate lectures between trainers and students
3. Counsel new students
4. Represent the company at trade exhibitions, events, and demonstrations
5. Work on being the first point of contact for all course-related queries and communication
6. Maintain management guidelines by preparing, updating, and recommending course policies and procedures

Job Types: Full-time, Regular / Permanent, Internship, Fresher

Schedule:

  • Day shift

Language:

  • English (Preferred)

Speak with the employer
+91 9869435738

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Iha Consulting Services | Hiring | Data Science Consultant | BigDataKB.com | 1/11/2022

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Iha Consulting Services

Hyderābād

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.

Selected intern’s day-to-day responsibilities include:

  • Study the Indian market and identify people utility, high impact, and market demand solutions.
  • Prepare effective AI solutions for given problems (should be done in such a way that it is scalable and ready to use)
  • Design algorithms based on industry requirements.
  • Train and test the model.
  • Demonstrate AI-powered tools and solutions to the client/industry

Skills required:

  • Machine Learning
  • Image Processing
  • Computer Vision
  • Data Science
  • English Proficiency (Written)
  • Natural Language Processing (NLP)
  • Deep Learning
  • Artifical Intelligence

Application Deadline: 13/1/2022

Expected Start Date: 14/1/2022

Job Types: Full-time, Part-time, Regular / Permanent, Internship

Schedule:

  • Morning shift

Supplemental Pay:

  • Performance bonus

Work Remotely:

  • Yes

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Kwalee | Hiring | Junior Data Scientist | BigDataKB.com | 1/11/2022

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Kwalee

Bangalore

Information Technology

Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Traffic Cop 3D and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope and Die by the Blade.

With a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, we have a truly global team making games for a global audience. And it’s paying off: Kwalee games have been downloaded in every country on earth! If you think you’re a good fit for one of our remote vacancies, we want to hear from you wherever you are based.

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?


What’s the job?

As a Junior Data Scientist you will help utilise masses of data generated by Kwalee players all over the world to solve complex problems using cutting edge techniques.


What you tell your friends you do

“My models optimise the performance of Kwalee games and advertising every day!”


What you will really be doing

  • Building intelligent systems which generate value from the data which our players and marketing activities produce.
  • Leveraging statistical modelling and machine learning techniques to perform automated decision making on a large scale.
  • Developing complex, multi-faceted and highly valuable data products which fuel the growth of Kwalee and our games.
  • Owning and managing data science projects from concept to deployment.
  • Collaborating with key stakeholders across the company to develop new products and avenues of research.


How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.
  • You’ll think creatively and be motivated by challenges and constantly striving for the best.
  • You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!


Team

Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.


Skills and Requirements

  • A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences
  • A record of outstanding contribution to data science projects.
  • Experience using Python for data analysis and visualisation.
  • A good understanding of a deep learning framework such as Tensorflow.
  • Experience manipulating data in SQL and/or NoSQL databases


We offer

  • We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment
  • In addition to a competitive salary we also offer private medical cover and life assurance
  • Creative Wednesdays! (Design and make your own games every Wednesday)
  • 20 days of paid holidays plus bank holidays
  • Hybrid model available depending on the department and the role
  • Relocation support available
  • Great work-life balance with flexible working hours
  • Quarterly team building dayswork hard, play hard!
  • Monthly employee awards
  • Free snacks, fruit and drinks


Our philosophy

We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.

Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.

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UNICORN Technologies Ltd | Hiring | Data Scientist | BigDataKB.com | 1/11/2022

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UNICORN Technologies Ltd

Pune

Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Analytic applications and data scientists can then review the results to uncover patterns and enable business leaders to draw informed insights.

Job Types: Full-time, Fresher

Salary: ₹16,000.00₹27,000.00 per month

Schedule:

  • Monday to Friday

Work Remotely:

  • No

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Tech mahindra | Hiring | Data Scientist | BigDataKB.com | 1/11/2022

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Tech mahindra

Pune

IT Service

  • Skill Set: Neural Network and Deep Learning,
  • Total Experience: 12.00 to 12.00 Years
  • Job Post Date: 10/01/2022
  • Job Expiry Date: 09/02/2022
  • Domain: IT
  • Location: PUNE [India]

Job Summary

Data Scientists with the capability to perform independent statistical and machine learning research/ projects. Individuals should be able to break down business problems into smaller components and implement ML approaches to empower the end business decisions ¿ Expert level proficiency and thorough understanding of at least one of the upcoming technologies like deep learning, NLP, Computer Vision, recommender systems ¿ Expert level proficiency in statistical/ML predictive techniques such as regression, Bayesian methods, tree based learners, SVM, RF, XGBOOST etc ¿ Strong hands on skill in Python using libraries like NLTK/Spacy, SkLearn, Keras/Tensorflow, Fastai/Pytorch, Pandas, Matplotlib, Seaborn etc ¿ Good to have experience in any one of the cloud platforms such as AWS, GCP or Azure

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