Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work.

The team you’ll be part of

The Customer Experience organization provides a common interface to customers including account and relationship management, acting as the voice of the customer internally and creating demand across our business groups. While bringing deep understanding of local markets for our customer, the CX organization ensures strong alignment between sales and delivery teams.

What you will learn and contribute to

As part of our team, you will:

• Use Python to develop applications related to machine learning algorithms.
• Perform Data mining using the latest technologies.
• Utilize and work on Microsoft Azure services like Azure VM, Azure App Service, Azure AD Authentication.
• Perform requirements gathering, finalization, implementation & support for business need.
• Understand, support & enhance applications ensuring they keep pace with the latest technological advancements.

Your skills and experience

You have:

• B.E./B. Tech. in Computer Science/Telecom/Electronics.
• 1-3 years of experience as Software Developer/Engineer.
• Minimum 1-year hands-on development experience in Predictive Modelling, NLP/Natural Language Processing & Machine Learning like Advanced Classification Techniques, Deep Learning, Clustering.
• Good knowledge of building applications using Python.
• Superior analytical and problem-solving skills.
• Good communication skills both written and spoken.
• Creativity, self-confidence, flexibility and are a Team Player.

It would be nice if you also had:

• Skills in web technologies like Angular, React, iQuery, CSS3

What we offer

Nokia offers flexible and hybrid working schemes, continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark
• LGBT+ equality & best place to work by HRC Foundation

At Nokia, we act inclusively and respect the uniqueness of people.

Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.

The Company:

6sense helps revenue teams identify and close more opportunities by putting the power of AI, big data and machine learning behind every member of the B2B revenue team, empowering them to uncover anonymous buying behavior, prioritize fragmented data to focus on accounts in market, and engage resistant buying teams with personalized, multi-channel, multi-touch campaigns. 6sense helps revenue teams know everything they need to know about their buyers so they can easily do anything they need to do to generate more opportunities, increase deal size, get into opportunities sooner, compete and win more often.

6sense raises $125M at a $2.1B valuation for its ‘ID graph’, an AI-based predictive sales and marketing platform

The Role:

6sense is a Predictive Intelligence Engine that is reimagining how B2B companies do sales and marketing. We work with big data at scale, advanced machine learning, and predictive modeling to find buyers and predict what they will purchase, when, and how much.

The data science team is at the core of 6sense engineering. The drive of our executives and the quality of our work has lead to unprecedented partnerships with companies like Salesforce, Cisco, Dell and Lenovo. Salesforce was so happy with our results that they invested in us.

Our data scientists are not optimizing software; they are building models, manipulating big data, and working with APIs that are essential to the 6sense product. Our models inform smart-email campaigns, website personalization, ad optimization, inside sales call lists, and go-to-market messaging. We influence how businesses spend millions of marketing and sales budgets.

We are growing quickly and want to expand our data science family with outstanding minds and bright personalities.

As a data scientist at 6sense you’ll have the opportunity to:

• Work with some of the largest data sets in enterprise business.

• Lead the way in leveraging unstructured data for predictive modeling and decision-making.

• Help build a predictive product and inform features at the ground level.

We are looking for someone with minimum of 2 years of work experience. Advanced degree is preferred.

If you join our small team you’ll:

• Have the opportunity to advance quickly and build your career trajectory at a fast-growing startup.

• Enjoy equity and influence in an expanding and dynamic pre-IPO company

Brief about the Team & Fractal:

Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business.

Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling.

• Our mission is to help companies move towards higher levels of sophisticated and institutionalized use of analytics.
• Understand, predict and influence consumer behavior
• Improve marketing, pricing, supply chain, risk and claims management
• Harmonize data, visualize information, build dashboards and forecast business performance.

StreamFlux is a self-serve data science platform that allows the building of a batch and streaming pipelines in a matter of minutes. It performs data processing such as aggregation, transformations, filtering and enrichment of the data, in the cloud or on-premise. Through its advanced analytics and data science capabilities it offers model training, scoring, monitoring, and validating, thus enabling power users of enterprises such as data engineers, data architects, business analysts, and data scientists to build complex data engineering and machine learning pipeline at ease.

Job role:

The person will be working with the product team to implement solutions for client’s use cases.
S/He should be able to work independently
S/He should be comfortable with Data Science and Machine Learning Skills
S/He should have worked on large datasets (Big Data)
S/He should have data warehousing concepts

Mandatory skills – Machine learning, Data warehousing, SQL, Python

Good to have – Big Data

Job Information

Industry

IT Services


Work Experience

3+ years


Salary

6 LPA


City

Gurgaon Kty.


Province

Haryana


Country

India


Postal Code

122001

Job Description

Data Science Consultant

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us as a Consultant on our Data Science team in Bangalore/Remote India to do the best work of your career and make a profound social impact.

What you’ll achieve
As a Data Scientist you will participate mostly on Machine Learning projects. Your responsibility is to contribute to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• 12 to 15 years of related work experience with advanced statistical skills and appropriate Mathematical knowledge

• Knowledge of sales organizations and goals

• Having Statistical and data modelling skills (Python, R)

• Knowledge of Data visualization techniques

• Willing to master Data transformation and database development (ETL, SQL OLAP, Teradata

Desirable Requirements

• Knowledge of Data visualization techniques

• Knowledge of data science approaches (Regression, Clustering, Classification)

Here’s our story; now tell us yours

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We’re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

What’s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your lifewhile still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.

Application closing date: 15 January 2022

Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Equal Employment Opportunity Policy here.

Job Title: CCO Data Scientist AVP

Location: Pune

About Barclays

Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.

Risk and Control Objective

Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

Working Flexibly

We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs. Whether you have family commitments or you’re a career, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life.

If you would like some flexibility, then please discuss this with the hiring manager.

Introduction:

You will contribute towards a successful re-pivoting of decisioning strategy in the bank’s Chief Controls Office. In the post-financial crisis world, effective Control processes are at the forefront of Barclays’ strategic priorities, and one of the foremost areas where we are directing investment and innovation. The Chief Controls Office is at the start of an exciting journey to intelligently leverage data to meet these objectives.

What will you be doing?

• Driving optimal decision-making via the effective communication of evidence-based, quantified conclusions
• Identifying the relevant data points for the issue at hand; understand and extract the required portions quickly through optimised querying of our data storage systems
• Manipulating data efficiently, overcoming challenges around volume and velocity
• Being responsible for packaging conclusions and recommendations concisely, making the appropriate actions intuitively clear for customers
• Applying technical and analytical expertise to exploring and examining data with the goal of discovering patterns and previously hidden insights
• Identifying opportunities for data science and analytics and communicate appropriately to stakeholders
• Drawing insights from data science and analytics independently; coaching others to do the same
• Supporting the development of a culture of continual improvement, including delivering new innovative data science use cases, e.g. predictive analytics

What we’re looking for:

• Experience in influencing senior stakeholders; you should be as comfortable contributing to a “business meeting” as a technical one. You will be the key person in translating business requirements into technical plans, and delivering results back into the business.
• Experience training end users in data science and analytics technologies

Skills that will help you in the role:

• Experience working with SQL Alteryx, Tableau and Cloud

Where will you be working?

Pune

Be More at Barclays

At Barclays, each day is about being more – as a professional, and as a person. ‘Be More @ Barclays’ represents our core promise to all current and future employees. It’s the characteristic that we want to be associated with as an employer, and at the heart of every employee experience. We empower our colleagues to Be More Globally Connected, working on international projects that improve the way millions of customers handle their finances. Be More Inspired by working alongside the most talented people in the industry, and delivering imaginative new solutions that are redefining the future of finance. Be More Impactful by having the opportunity to work on cutting-edge projects, and Be More Valued for who you are.

Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.

Purpose, Values and Mindset

We deploy finance responsibly to support people and businesses, acting with empathy and integrity, championing innovation and sustainability, for the common good and the long term.

Our values underpin everything we do: Respect, Integrity, Service, Excellence and Stewardship.

Respect

We harness the power of diversity and inclusion in our business, trust those we work with, and value everyone’s contribution.

Integrity

We operate with honesty, transparency and fairness in all we do.

Service

We act with empathy and humility, putting the people and businesses we serve at the centre of what we do.

Excellence

We champion innovation, and use our energy, expertise and resources to make a positive difference.

Stewardship

We prize sustainability, and are passionate about leaving things better than we found them.

Our Mindset shapes how we take action, living by our Values, driven by our Purpose, always with our customers and clients at the heart of what we do; our Mindset is to Empower, Challenge and Drive.

Empower

Trust and support each other to deliver. Make decisions with those closest to the topic. Include diverse perspectives. Celebrate success and learn from failure.

Challenge

Question whether things can be done better. Use insights based on data to inform decisions. Be curious about how we can adapt and improve. Speak up and be open to alternative viewpoints.

Drive

Focus on outcomes. Deliver with pace. Be passionate and ambitious about what we do. Take personal responsibility. Actively build collaborative relationships to get things done.

Your Journey at Crowe Starts Here:

At Crowe, you have the opportunity to deliver innovative solutions to today’s complex business issues. Crowe’s accounting, consulting, and technology personnel are widely recognized for their in-depth expertise and understanding of sophisticated process frameworks and enabling technologies, along with their commitment to delivering measurable results that help clients build business value. Our focus on emerging technology solutions along with our commitment to internal career growth and exceptional client value has resulted in a firm that is routinely recognized as a “Best Place to Work.” We are 75 years strong and still growing. Come grow with us!

Job Description:

About Crowe Data Science

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art machine learning, modern architectures, and industry experts, to create AI-powered software-as-a-service.

Our world-class Data Science professionals give Crowe the ability to capture and harness the power of data. A combination of data scientists and machine learning engineers create and deploy AI functionality into software to solve complex problems. This type of group, rarely seen anywhere except large tech companies, focuses on building scalable AI products, not just one-time insights. You will learn and build on a wide range of technologies – distinguishing Crowe in the market and driving the firm’s technology and innovation strategy.

The future is powered by AI, come build it with us.

About the Team

• We believe machine learning is software. While we know our way around Jupyter notebooks and ggplot2, they are not the end of our machine learning pipelines. Our team uses modern frameworks and tools (git, Docker, Kubernetes) to engineer machine learning solutions.
• We foster good science. You are given the time and resources you need to build your expertise in your project, and you will guide fellow data scientists and other Crowe staff through your work.
• We want to make good scientists better. Data scientists have plenty of options on the job market. We want to be one of the best ones. We have a journal club that meets weekly, regular opportunities for team members to teach each other, support for conferences, and recurring reading groups. Moreover, our team offers generous PTO, a flexible work from home policy, and a strong commitment to work-life balance. Company-wide, Crowe routinely wins awards for our support of our staff, including [to be filled in by Talent Services].

About the Role

• We work on medium-term machine learning projects (1-6 months) with a high degree of autonomy.

• In order to further the Data Science Team strategic imperative of having a “Culture of reuse: tools, products, and processes.”, the primary strategy of the Toolkit Team will be to develop generalizable tools for common problems and facilitate the sharing of code within/between projects.

  • Identify opportunities to use prior Data Science Team work to address new feature requirements

  • Develop generalizable tools designed to solve current and future problems

  • Work with all Data Science Team members to define needs

  • Champion the use and adoption of tools

Required Skills

• Programming experience. Your job will require you to code. We mainly write in Python, so experience in this language is preferred. Within the Python ecosystem, we learn and use a wide array of tools and frameworks. Familiarity with or a drive to learn common data science and machine learning libraries is a plus.
• Machine learning experience. You enjoy machine learning. You’ve gone deeper than reading blog posts, ideally having several example machine learning projects from industry, academia, or personal settings that you can speak to.
• Capacity for autonomy. You won’t be on your own on day one, but you will need the capacity to manage your time between research and tool development.
• Strong communication skills. You can discuss the technical details of a machine learning project as well as explain the concepts to a non-technical audience.

• 
  Adaptable. Toolkit problems will involve different areas of computer science and machine learning skills, sometimes within the same problem. You can context shift depending on the problem and can adjust if new problems and/or requirements arise requiring rethinking the approach to solving a problem.

• 
  Detail oriented. Toolkit is focused on making tools that just work. You like to find edge cases and potential bugs in code, you go above and beyond developing use cases beyond the requested basics, and you are meticulous with documenting their code

Skills to Stand Out

• Hackiness. You like to code and have interest in learning new technologies. You find it exciting to explore and/or improve libraries to help you solve a problem.
• Curiosity about machine learning. You enjoy staying up to date on research and advances in machine learning. You have a favorite machine learning specialization area that you enjoy learning about and working with.

• 
  Interest in general computer science. You know a few things about algorithm design, data structures or some other interesting computer science area that can help create more robust machine learning solutions.

• 
  Outside field. You have an educational or research background in another field that you believe gives you unique perspectives for approaching machine learning and/or general computer science problems.

Our Benefits:

At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you!

How You Can Grow:

We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

More about Crowe:

Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country’s best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.