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Lead Data Scientist , Travel & Financial Services

  • 10-14 yrs
  • Not Disclosed

Job Description

Role : Lead Data ScientistClient Information :Our client provides services in Travel & Financial Services sectors since 30 years. A global travel benefits business with a history stretching back to 1963. They result in us acting with integrity and agility while making long,term investments and decisions. They keep us innovative and importantly, they help to deliver a better customer experience.Key Role & Responsibilities :, Lead (end,to,end) deliveries of advanced analytics initiatives, Support the drive for adoption of advanced analytics proposition across APAC, Contribute to roadmap of innovative items within advanced analytics space, Identify valuable consumer behavior patterns and insights that may hide potential opportunities for commercial decisions., Map consumer needs to existing data proposition products and features and help sell,implement them, Proactively identify opportunities for upsell of advanced analytics to existing clients, Research and develop latest advanced analytics concepts; enhance existing solutions., Write scope of work document for new projects and control scope throughout implementation.Example Day to Day Activities include :, Working on all stages of projects (planning, development, quality control, production), Design, build and ongoing maintenance of our strategic platform and tooling, Converting proof,of,concept projects to enterprise solutions, Exploring customer, transactional, pricing, text,based data, Producing machine learning models including supervised and unsupervised methods, Producing reports and presentations to communicate findings to stakeholders, Prototyping proof,of,concept idea, Assisting with managing our infrastructure in AWS, Architecting and executing solutionsKnowledge, skills and experience :Knowledge :, Knowledge of common data science techniques including data preparation, exploration and visualisation, Knowledge of data mining techniques in one or more areas of statistical modelling methods, time series, text mining, optimisation and information retrieval, Ability to produce workflows using classification, clustering, regression, and dimensionality reduction, Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domainsCore Skills :, Advanced Python and Pyspark, Data science background, Building both supervised and unsupervised machine learning models for advanced analytics products eg. Customer segmentation,clustering, product or content recommendation engines, single customer view (Graph network), Churn analysis and fraud detection etc., Translating facts and figures from machine learning models into insightful data storytelling with use of Powerpoint and visualisation tool such as Tableau or Plotly, Presenting complex concept in an easy,to,understand ways to both tech and non,tech audiences; outstanding written and spoken English, Hands,on exposure to conducting and documenting exploratory data analysis and feature engineering in a simple and structured way, Understanding of the data technology landscape, how to apply this to business problems and identify the limitations, SQL skills for deriving insights (MS SQL and Postgresql with case, count, group by, join etc.), Excellent data preparation skills, manipulation of large data sets, analysis and visualisation of results, Data modelling skills; awareness of the appropriate application of de,normalisation, aggregation, warehousing and data lakesDesirable Technical Skills : , AWS: EC2, RDS, EMR, Kinesis, S3, Cloud Providers: AWS (primary), GCP or Azure, Visualization & UI: Tableau, Plotly, Python Flask, Zeppelin, Apache : Atlas, Ranger, Knox, NifiExperience :, At least 4 years commercial advanced analytics experience across at least one of the following disciplines : retail (shopping mall brands), financial services (neo banks or ecommerce), consumer loyalty, travel & hospitality, Strong working knowledge on the mechanics of the underlying Machine Learning algorithms and ability to convey its characteristics to non,tech audience, Experience working with cloud platforms, Experience building and deploying API, Experience working with external vendors, remote teams in different time zones and agencies providing services for projectsExperience of Level : 10,14 years of experience Educational Qualification : B.Tech,B.E. , BSc degree (preferably Data Science or Computer Science)Job Location : Mumbai