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

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Careator Technologies

Bangalore

JOB DESCRIPTION

  • Experience with Azure and/or GCP cloud platform
  • Experience in machine learning, statistics, optimization or related fields; deeper experience in working with large data sets, simulation/ optimization or distributed computing tools is a plus
  • Experience working with Open CV, Deep learning experience and time series analysis
  • Experience with Map/Reduce, SAP, Hadoop, Hive, Spark, etc.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
  • Coding knowledge and experience with several languages: Python, Go, Java, JavaScript, R, SQL etc.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience visualizing/presenting data for stakeholders using: Tableau, PowerBI, Looker, Data Studio, Shiny, D3, ggplot,etc.

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Standard Chartered | Hiring | Specialist, Data Science | BigDataKB.com | 1/11/2022

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Standard Chartered

Bangalore

Investment Banking & Asset Management

Job: Data and Analytics

Primary Location
: Asia-India-Bangalore

Schedule
: Full-time

Employee Status
: Permanent

Posting Date
: 13/Oct/2021, 7:17:51 AM

Unposting Date
: Ongoing

About Standard Chartered
We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.
To us, good performance is about much more than turning a profit. It’s about showing how you embody our valued behavioursdo the right thing, better together and never settleas well as our brand promise, Here for good.
We’re committed to promoting equality in the workplace and creating an inclusive and flexible cultureone where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.
The Role Responsibilities & Our Ideal Candidate

Responsible for the end-to-end deliveries of the technology portfolio from CCIB Data Science/Analytics initiatives.

  • Develop data driven insights in Cash data
  • Proven analytical skills, to assist the business on reviewing and presenting the data in a clear and professional manner using charts, graphs and dashboards
  • Work closely with product owners to mine relevant data
  • Support adhoc and recurring data and reporting requests
  • Perform data analytics tasks as requested by Business
  • Articulate data requirements from the business functions to the technical development team
  • Become a domain expert in your product area and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities
Apply now to join the Bank for those with big career ambitions.
To view information on our benefits including our flexible working please visit our career pages. We welcome conversations on flexible working.

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CRED | Hiring | data scientist (510 years). | BigDataKB.com | 1/11/2022

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CRED

Bangalore

Membership Organisation

what is CRED?
CRED is an exclusive community for India’s most trustworthy and creditworthy individuals, where the members are rewarded for good financial behavior. CRED was born out of a need to bring back the focus on a long lost virtue, one of trust, the idea being to create a community centered around this virtue. a community that constantly strives to become more virtuous in this regard till they finally scale their behavior to create a utopia where being trustworthy is the norm and not the exception. to build a community like this requires a community of its own; a community special in its own way, working towards making this vision come true.
here’s a thought experiment: what do you get when you put a group of incredibly passionate and driven people and entrust them with the complete freedom to chase down their goals in a completely uninhibited manner? answer: you get something close to what we have at CRED; CRED just has it better.
here’s what will be in store for you at CRED once you join as a part of the team

what will you do:

    • own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.
    • create scalable solutions to business problems using statistical techniques, machine learning, and NLP
    • design, experiment and evaluate highly innovative models for predictive learning
    • work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations
    • establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.
    • research and implement novel machine learning and statistical approaches
    • publish and/or talk about your work at external conferences.

you should apply If you have:

    • 5+ years of experience in data science.
    • in-depth understanding of modern machine learning techniques and their mathematical underpinnings.
    • demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.
    • strong programming skills (Python, Java, or Scala preferred).
    • high proficiency in at least one of the following broad areas: machine learning, statistical modeling/inference, information retrieval, data mining, NLP
how is life at CRED?
working at CRED would instantly make you realize one thing: you are working with the best talent around you. not just in the role you occupy, but everywhere you go. talk to someone around you; most likely you will be talking to a singer, standup comic, artist, writer, an athlete, maybe a magician. at CRED people always have talent up their sleeves. with the right company, even conversations can be rejuvenating. at CRED, we guarantee a good company.
hard truths: pushing oneself comes with the role. and we realise pushing oneself is hard work. which is why CRED is in the continuous process of building an environment that helps the team rejuvenate oneself: included but not limited to a stacked, in-house pantry, with lunch and dinner provided for all the team members, paid sick leaves and a comprehensive health insurance.
to make things smoother and to make sure you spend time and energy only on the most important things, CRED strives to make every process transparent: there are no work timings because we do not believe in archaic methods of calculating productivity, your work should speak for you. there are no job designations because you will be expected to hold down roles that cannot be described in one word. since trust is a major virtue in the community we have built, we make it a point to highlight it in the community behind CRED: all our employees get their salaries before their joining date. a show of trust that speaks volumes because of the skin in the game.
there are many more such eccentricities that make CRED what it is but that’s for one to discover. if you feel at home reading this, get in touch.

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Smiths Group | Hiring | Data Scientist | BigDataKB.com | 1/11/2022

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Smiths Group

Bangalore

Industrial Manufacturing

Location: Asia Pacific, India, Bangalore
Ref: DETECTIONAPAC00629
Division: Detection
Job Function: Research Development

About Us

SMITHS DETECTION MAKING THE WORLD A SAFER PLACE

Every minute of every day, in nearly every country across the globe, Smiths Detection people and technology make the world a safer place. We safeguard people, business and infrastructure with the latest innovations and screening technology for aviation, ports, borders, defence, and security.

What makes us different:

  • Global leader: We impact critical systems every day with sites in 17 countries and six centres of research excellence.
  • Digital growth: A key part of our capability is the integration of digital technology across our business and our operations in India, Bengaluru specifically, will be critical to our continued success.
  • Exciting opportunities: Our growth is creating exciting opportunities to work with experts in physics, chemistry, electronics, mechanics, production, computer science, and AI/machine learning.
  • International environment: With some projects, work requires global collaboration and the potential to travel and grow with the business.

Job Description

Smiths Detection’s Digital Platform is an innovative global security platform designed to transform the way government agencies and organizations secure and manage their ports, airports, infrastructure and border checkpoints. It brings all security operation information together onto a single, integrated and secure platform to achieve 100% data inspection of all cases. Using insights produced through machine learning, artificial intelligence (AI) and data science, our platform enables people to make informed decisions quickly to protect against any border security threat.

Smiths Detection is looking for dynamic, innovative and motivated software architects to be the part of its global platform and applications development team in Technology group. The purpose of this role is to develop, sustain and enhance technical architecture of Smith’s cloud (and on-premise) based Platform and its applications. The position is based in Bangalore.

The Data Scientist is part of the overall Platform and Application Architecture group, working closely with Sales, Products & Technology, Program Management, Service and overall business management to deliver successful pursuit outcomes and grow customer engagement, intimacy and our opportunity pipeline. This person uses professional concepts and company objectives to resolve complex issues in creative and effective ways. The role brings the capabilities of solution architecture and design using latest tech stack and in house developed platform. He/she applies extensive technical expertise and has full knowledge of other related disciplines. The role requires person to be hands-on software developer.

Duties & Responsibilities

What you’ll do:

  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field
  • Collaborate with engineering and product development teams

The Individual

What you’ll definitely need:

  • At least 10 years of experience with 6 years of experience as data scientist using AI/ML/DL algorithms and techniques.
  • Must possess at least a Bachelor’s degree in Electrical/Electronics Engineering and/or Computer Engineering/Science or equivalent. Master degree is preferable.
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R, Matlab
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills. Leveraging and contributing to Open Source projects
  • Knowledge of open source tool chains and technologies
  • Excellent written and verbal communication skills

To find out more about life at Smiths Detection check out our LinkedIn page https://www.linkedin.com/company/smiths-detection/life/c58d0d07-ffe6-4a79-aa69-062062454d6d/and follow our story


Join us for a great career and competitive compensation & benefits whilst keeping the world a safer place.

We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.

At no time during the hiring process will Smiths Detection, Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our careers website (www.smithsdetection.com/careers) or LinkedIn.

#Smiths

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dunnhumby | Hiring | Applied Data Scientist | BigDataKB.com | 1/11/2022

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dunnhumby

Gurgaon

Consulting

Gurgaon

Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo.

We’re looking for an Applied Data Scientist who expects more from their career.
It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.

What we expect from you
  • 2 to 4years of experience required
  • Degree in Statistics, Maths, Physics, Economics or similar field
  • Programming skills (Python and SQL are a must have)
  • Analytical Techniques and Technology
  • Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact.
  • Logical thinking and problem solving
  • Strong communication skills
  • Statistical Modelling and experience of applying data science into client problems
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not.
Plus, thoughtful perks, like early finish Friday and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Women’s Network, dh Proud, dh Parent’s & Carer’s, dh One and dh Thrive as the living proof. Everyone’s invited.

Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice

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Hella | Hiring | MACHINE LEARNINGDATA SCIENTIST | BigDataKB.com | 1/11/2022

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Hella

Pune

Transport Equipment Manufacturing

MACHINE LEARNINGDATA SCIENTIST

Location PuneMaharashtra, India


Pacesetting. Passionate. Together.
HELLA, one of the leading automotive suppliers worldwide, has shaped the industry with innovative lighting systems and vehicle electronics. In addition, the company is one of the most important partners of the aftermarket and independent workshops. What motivates us: Shaping the mobility of tomorrow and fostering the central market trends such as autonomous driving, efficiency and electrification, connectivity and digitization as well as individualization. Every day, 36,000 employees worldwide are committed to this with passion, know-how and innovative strength.


YOUR TASKS

  • Strong understanding of ML fundamentals, algorithms and data engineering
  • Hands-on experience in Data preparation exploratory data analysis and presenting results / insights to customer
  • Strong fundamentals of Statistics, Time series analysis, probability, linear algebra
  • Hands-on experience in implementation of ML algorithms to solve real problems
  • Strong programming skills in Python
  • Experienced in writing complex SQL queries
  • Strong knowledge of tools and packages like scikit-learn, statsmodels, pandas, numpy, streamlit, etc
  • Data visualization tools like plotly, dash, bokeh, seaborn, etc.
  • Good experience with git
  • Experienced Linux user and not afraid of the command line
  • Passionate, curious and committed to deliver high-quality solutions/products
  • Strong troubleshooting and proactive problem-solving skills
  • Ability to perform as an individual contributor as well as work with teams
  • Curiosity to learn and experiment with new tools and technologies
  • Strong analytical, communication and presentation skills
  • Good team player with the ability to collaborate effectively
  • Experience with Data analytics tools and platforms like Palantir
  • Experience with Docker, cloud technologies
  • Aware about latest technological trends in ML/AI
  • Basics of Neural networks
  • As a part of this digitalization focus, you would be working on providing ML/AI Solutions to improve Cost, Quality, and Efficiency of development and manufacturing processes
  • Coordinate with different cross functional teams to design, build and implement models and monitor outcomes
  • It includes performing Exploratory Data Analysis (EDA), Data Engineering, building models and clearly presenting the results to customers/management
  • You will be working in a highly collaborative environment with other experts in data science and engineering
  • Become a part of Global Software House for strategic orientation for software topics within HELLA and work together with a strong international team on the digitization of HELLA as well as exciting customer topics
  • Be part of a team that designs and implements machine learning algorithms to improve cost, quality and efficiency of development and manufacturing processes

YOUR QUALIFICATIONS

  • B.E/B.Tech in computer science/ Information Technology/ Electronics/ Electronics & Communication or related field from a reputed institute
  • Fluent in spoken and written English
  • 3 to 5 years of industry experience in software development
  • Minimum 2 years relevant experience in data analysis, data engineering, ML and statistics

Take the opportunity to reveal your potential within a global, family-run company that offers you the best possible conditions for progressing in your career.

Please send us your application through our careers portal, citing reference number req2710.


HELLA India Automotive Pvt Ltd.

Soumya Manda

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Dell Technologies | Hiring | Senior Data Scientist | BigDataKB.com | 1/11/2022

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Dell Technologies

Karnataka

IT Service

Dell Technologies is a leader in providing technology infrastructure to its customers in an era increasingly being driven by digital and data. Enabling Dell to satisfy its customers’ needs hinges on executing a world class supply chain, connecting together sales orders with a complex ecosystem of partners and suppliers. Data plays an integral role in this as we digitize and modernize our supply chain. Join our Data Analytics & Automation team within Supply chain as a senior data scientist to solve our most challenging business problems with statistical, predictive and prescriptive approaches, making our decision making faster and more sophisticated. We offer a competitive remuneration package.

You will:

  • Advance our supply chain modernization efforts by working closely with other Data, Analytics and Automation professionals and supply chain domain experts to understand complex business problems and co-create digital solutions driven by data science models
  • See your algorithms and solutions get scaled and deployed, while learning from your mistakes
  • Join and contribute to a community of data scientists by sharing industry best practices and lessons learnt from past and ongoing projects
  • Identify opportunities to innovate across the supply chain through team challenges, to collaborations with external industry disruptors
  • Craft and execute a personalized development plan with your manager to ensure you will continuously grow in your career aspirations, whether it be technical leadership or people leadership

We seek data scientists with a passion to…

  • Deep dive into data to find answers to yet unknown questions and have a natural desire to go beneath the surface of a problem
  • Ask and answer questions in large datasets and have a strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you
  • Collaborate in cross functional teams to co-create solutions to business problems, bringing a combination of data science expertise with business acumen to drive pragmatic, business driven value.
  • Keeping abreast of latest developments in the field and identifies opportunities to apply within our organization
  • Create new intellect and authoring White Papers in collaboration with academic peers and others on innovative techniques or new approaches to Machine Learning / Predictive Modelling on large-scale data
  • Be a role model to junior data scientists
  • Train/guide data science enthusiasts across the organization

Essential Requirements

  • Bachelor’s / Master’s / PhD degree in a relevant field such as Engineering, Statistics, Computer Science, Data analytics or Data Sciences with 8 – 12+ years of experience
  • Relevant work experience applying data science/machine learning/statistical techniques to quantitative problems in a business environment, demonstrating ability to experiment, develop and deploy solutions into production environments.
  • Experience working with cross-functional (i.e. data engineering, software development, business intelligence) digital solutioning teams integrating data science models into end-to-end solutions.
  • High level of expertise in building supervised/unsupervised solutions leveraging but not limited to regression, classification, clustering, time series forecasting & NLP techniques.
  • Strong foundation in carrying out open-ended data mining and analysis for medium to large datasets from disparate sources.
  • Ability to efficiently query data from structured (SQL, PostgreSQL etc.) and unstructured (MongoDB, Hadoop) data stores.
  • High proficiency in advanced scripting techniques including R and/or python as the primary programming language
  • Advanced coding skills and ability to optimize code for performance, scalability and readability.
  • Hands on experience implementing deep learning techniques such as using Keras, Pytorch, or TensorFlow.
  • Foundational understanding of data science model deployment techniques in containerized environments like Kubernetes.
  • Self-driven, able to work independently yet act as a team player
  • Strong communication skills with the ability to flex style to suit the audience, from executives, to technical leaders, to other DAA competency specialists, or whilst coaching and guiding other team members

Highly desirable skills:

  • Experience in simulation/optimization/operations research.
  • Experience working in distributed computing environments like Spark (PySpark and/or SparkR).
  • Hands on experience with docker and other relevant CICD tools desirable but not required.

Our team’s way of working

  • We are uncovering ways to impact every key decision in Dell’s supply chain with a data science solution.
  • We use our curiosity to find latent opportunities by experimenting together.
  • We work in an agile methodology and have the autonomy to suggest and work on optimal approaches.
  • We target decisions that achieve our company objectives. Our solutions address important prevailing business problems and we continuously keep this in mind while progressing through our projects.
  • We excel when we collaborate. Data scientists are encouraged to seek feedback from others and have open discussions while progressing through the data science lifecycle.

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jc technologies | Hiring | Data Scientist | BigDataKB.com | 1/11/2022

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jc technologies

Chennai

Responsibilities for Data Scientist

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyse model performance and data accuracy.

Qualifications for Data Scientist

  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
  • Coding knowledge and experience with several languages: C, C++, Java,
  • JavaScript, etc.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Job Types: Full-time, Contractual / Temporary

Salary: From ₹50,000.00 per month

Schedule:

  • Day shift

Experience:

  • total work: 1 year (Preferred)

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Sai Info Solution | Hiring | Senior Data Scientist | BigDataKB.com | 1/11/2022

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Sai Info Solution

Nashik

Responsibilities:

  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to-date with the latest technology trends
  • Communicate results and ideas to key decision-makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design

Experience: 4+ years of experience in same field.

Expected Start Date: 1/1/2022

Job Types: Full-time, Regular / Permanent

Salary: ₹47,072.00₹149,967.00 per month

Schedule:

  • Day shift
  • Morning shift

Experience:

  • total work: 4 years (Preferred)

Work Remotely:

  • No

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Deloitte | Hiring | A&A -Data ScientistAI POD | BigDataKB.com | 1/11/2022

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Deloitte

Bangalore

Accounting

Position Summary

Data Sciences

As a Data Science candidate, you will be expected to be hands-on & outcome focused to deliver end to end Data Science projects. You should also possess a proven track record of delivering & managing multiple Data Science projects through its complete lifecycle starting from defining the business problem to recommending action driven insights. You are expected to demonstrate leadership, analytical & project management qualities to not only execute projects independently but drive multiple projects to completion through collaboration, mentoring & consulting in a demanding environment.

Work you’ll do

  • Liaison with on site and client teams to understand various business problem statements analytical requirements
  • Provide suggestions on various machine learning algorithms to solve business analytics problems
  • Drive for value proposition with best in class industry practices & latest algorithms
  • Actively participate in client pursuits, proposals & bids
  • Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices.

Qualifications

Required:

  • Experience in descriptive & predictive analytics
  • Education: Bachelors / Masters in a quantative fields. Analytics certificate programs from a premier institute will be preferred
  • Should have hands on experience implementing & executing Data Science projects throughout the entire lifecycle
  • Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG)
  • Strong understanding of text pre-processing & normalization techniques such as tokenization
  • Strong knowledge of Python is a must
  • Strong SQL querying skills & data processing using Spark
  • Hands on experience in data mining with Spark
  • String expertise in any commercial data visualization tool such as Tableau, Qlik, Spotfire etc.
  • Good understanding of Hadoop ecosystem

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: 47226

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