Analytic Consultant/Data Scientist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics, in support of operational risk initiatives across consumer lending. This role supports analytics requirements for Credit Bureau Oversight and Quality reporting along with reporting for Issues Management.

EADS is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo’s analytic community.

We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling. In this highly consultative and visible role, you will support development analytic projects from multiple business lines using various technology and techniques ranging from but not limited to supervised, unsupervised and semi-supervised machine learning, deep-learning, NLP, optimization algorithms in both edge nodes and in big data environments (like hortonworks, MapR, Aster etc.)

In this role, you will:

• Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
• He/She would perform Data wrangling activities.
• He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.
• Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.
• Define business problem and translate it into analytical problem.
• Essential Qualifications:
  
• BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
• 1-4 years of experience
• Experience with supervise , unsupervised & semi supervise learning
• Experience with Deep-learning, Artificial intelligence techniques
• Strong programing skill
• Expertise in analytic tools : R, Python, Scala, Java
• Big Data skills – Aster, Hadoop, SPARK, H20 and various big data distributions like Hortonworks and MapR
• NLP, Text mining, Image/Voice processing, digital analytics, deep learning, machine learning
• Data Engineering
  
  • Sql ,Teradata, Hadoop, Spark
• Exploratory Data analysis
  
  • Provide exploratory data analysis using Python/R/SAS / SQL
  • Experience with Databases like oracle , Teradata, Sql server
  • Advance Excel skills
  • Data integration and clean up data for the usage
  • Experience with structured data and semi-structured text or Excel files
• Business Intelligence
  
  • Tableau, Power BI, Shiny, Dash, HTML5
• Business Analytics
  
  • Data mining and Insights
  • Trend Analysis , forecasting and pattern recognition
  • Find opportunities in the data and able to communicate to the partners
  • Consult with partners to define issues/information needs
  • Present findings to multiple levels of management
  • Ensure that analyses are delivered on time, while surpassing partner expectations
  • Ensure partner transparency throughout the life of the project
  • Proactively seek opportunities to increase the value of analysis
  • Strong oral and written communication and consultative skills
• Desired Qualifications:
  
• Strong collaboration skills
• Output deployment using appropriate technologies (HTML5, Shiny, Django)
• Working expertise in Tensorflow, Keras or Pytorch would be added advantage
• Ability to translate analytical data into useful business information
• Critical thinking and strong problem solving skills
• Ability to learn the business aspects quickly
• knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.
• Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry.
• Ability to multi-task and prioritize between projects
• Ability to work independently and as part of a team

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Organization: Siemens Energy

Company: Siemens Limited

Experience Level: Early Professional

Full / Part time: Full-time

Job Code: R&I-0223-001

Location: Pune

Position: AI/ML – Data Scientist

Experience: 2+ years

Required Skills: AI/ML, Generative design, Python, C++

Good to have skills: R, MLOps

Qualification: B.E. (Computers/IT/Mechanical/Civil)

Female candidates preferred.

Job Responsibilities:

• Understand a problem statement and implement analytical solutions techniques
• Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions
• Conceptualize, design, and deliver high-quality solutions and insightful analysis
• Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client-facing teams on advanced statistical and machine learning problems
• Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes
• Deliver AI/ML-based solutions around a host of domains and problems, with some of them being Customer Segmentation Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, and Price Optimization

Required Skills & Experience:

• 2+ years of expert-level proficiency in Data Science, Machine Learning, Python, C++, and R Programming
• Should have a basic understanding of AutoCAD tools, CADworks, etc.
• Ability to create efficient solutions to complex problems. Strong skills in data structures and machine learning algorithms
• Experience working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring, and maintenance
• Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive required outcomes
• Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis
• Experience in deep learning and generative design in AEC domain
• Fast learner: ability to learn and pick up a new language/tool/platform quickly

Good to Have:

• Experience in Revit API 2021 or 2023 will be added advantage
• Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems, etc.
• Experience working in AEC domain
• Knowledge of geometry concepts and linear algebra

Reporting To: Head of Research and Innovation

Please send your resume to careers@neilsoft.com with the job code in the subject line.

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Lenskart was founded with a vision to help people see the beautiful world by revolutionizing the eyewear category in India and beyond. The ten-year-old company now delivers 7 million + spectacles a year in India and Singapore and plans to ship out over a billion glasses over the next ten years. Lenskart being an Omni-channel direct to consumer retail brand provides a unique ecosystem of a full spectrum of analytics use cases which very few companies in the world provide. This creates a unique challenge and opportunity for professionals to learn and contribute, at the same time solve a 2 billion+ problem.

Analytics and data science are core to Lenskart’s business across several aspects: retail & store analytics, digital & e-commerce analytics, marketing analytics, supply chain analytics, customer service, text analytics and more.

While the DS team works centrally, we are deeply embedded with the functional teams and have a very strong say in the operational strategy. We are looking for a strong Data Scientist to work on Advanced Analytics use cases who will enable the use of advanced analytics for the area of Customer analytics, Marketing analytics, Text analytics for helping improve marketing ROI and
customer experience

About Lenskart Analytics Team – https://blog.lenskart.com/introducing-analytics-lenskart-f007bd3b9c02

Key Responsibilities:

• Experience using machine learning libraries or platforms such as Tensorflow, Scikit-Learn, Spark ML, Python, SQL, Redshift, and knowledge of AWS environment.

• Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders using advanced modelling & algorithm.

• Perform online reporting, collection and analysis of digital metrics, process large clickstream data sets from Google Analytics/Big query to provide online user experience improvement.

• Analyze the customer base and build a strong customer segmentation framework to look at our customer base in a strategic manner.

• Leverage customer data to build churn models, propensity models etc. to increase the efficiency of our marketing spend.

• Working closely with the channel teams on campaign optimization.

• Leverage customer chat data for applications in text analytics such as sentiment analysis, NPS prediction, topic modelling etc.

• Ability to translate advanced analytics problems into an ML model (deep learning, decision trees, Random forest, GBM, Bayesian models, etc.).

• Knowledge of MMM Modelling and MTA Modelling is good to have.

• Experience in Retail, Ecommerce, and Marketing advanced analytics ML problems is a must with a deep understanding of one area.

• Strong analytical and communication skills. Should be self-driven, highly motivated and able to learn quickly.

• Strong understanding of analytics needs and proactive-ness to build generic solutions to improve efficiency.

• Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.

• Strong project management and communication skills, Excel / PowerPoint / Agile /Jira experience.

• Most important – Passion for solving business problems with the use of algorithms, analytics and technology.

Education:

• Bachelor’s / Master’s Degree or Equivalent with 1-3 years of experience in Advanced Analytics roles.
• A background in Computer science or statistics from Tier 1 / 2 colleges with strong academics.

Location:

Gurgaon

Good to have:

• Candidate needs to have 2-5 years of relevant experience, and a passion for solving business problems with the use of algorithms, analytics, ML and technology skills.
• Strong hands-on experience with Python & SQL with a minimum of 2 years of live projects.
• Experience in working with analytics tools like Power BI, Tableau etc.
• Strong capability to understand business problems in the context of an Omni Channel Retail and use data to solve them.
• Strong understanding of marketing analytics concepts, attribution, modelling, etc.
• Excellent communication, teamwork and problem-solving skills.