Lead - Data Scientist - Global IT/Technology Firm

Global Technology/ IT Setup requires Lead ( DATA SCIENTIST) -WFM (Mumbai)

One of our client a Global IT/ TECHNOLOGY MNC headquatered in UK having 17 offices in 13 countries. established almost 30 years ago . We use our expertise and products to craft customer experiences which enable some of the world's best known brands to acquire, engage and retain the most demanding and choice-rich customers. In particular, our unique expertise and insight into high earning, frequent travellers allows us to create products and solutions for our clients that inspire greater customer engagement to drive more profitable relationships, enrich their travel experiences, protect what matters and assist in in times of need.

While specialising in Financial Services, Travel and Retail, we also support clients in multiple sectors. We have worked with over 90 airlines, 20 hotel groups and more than 600 financial institutions and banks, with clients including Accor Hotels, Air France KLM, American Express, British Airways, Cathay Pacific, Diners Club, Mandarin Oriental, Mastercard, Radisson Hotel Group, Sephora, Visa etc. We take our 30 years- experience working with these kinds of household names in over 170 countries and help our clients to deliver the smarter experiences it takes to differentiate their propositions and help them win deeper devotion with their customers.

We are looking for Lead ( Data scientist ) For WFH though prefer someone who can relocate to Mumbai if required

PFB the details :

1) Client - Global IT/ Technology MNC

2) Role- Lead - Data scientist

3) Location- WFH ( can be based out of Mumbai- Andheri( EAST)office of the client

4) Experience - 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 e-commerce), consumer loyalty, travel & hospitality

Purpose of the job:
 
Job title-Lead Data Scientist

- 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 behaviour 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 solutions 

Knowledge, 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 modelling algorithms and apply these algorithms for data driven solutions to problems in new domains

Core 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 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 lakes

Desirable 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, Nifi

Experience :

- At least 4 years commercial advanced analytics experience across at least one ofthe following disciplines: retail (shopping mall brands), financial services (neo banks or e- commerce), consumer loyalty, travel & hospitality

- Strong working knowledge on the mechanics of the underlying Machine Learning algorithms and ability to convey its characteristics to a 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 projects

- BSc degree (preferably Data Science or Computer Science)

Person Specification :

- Passionate about analysing, deriving insights and presenting them back to people

- A creative, innovative person that likes getting stuck in and is keen to learn and grow

- With strong character and presence - capable of handling and challenging tough and demanding clients and stakeholders in a respectful and productive manor

- Able to work at pace while working through frequently changing priorities and challenges in a collegiate way

- Always challenging ambiguity

- Always challenging status quo

- Collaborative and a strong team player with can-do attitude

- Able to operate independently in a proactive manner to generate ideas and draw them out of others

- Nimble, open-minded thinking, process advocate but committed to impact

- Thorough and attentive to detail

- Well planned and organised

Pranav 

Share the following details

- current ctc n notice period

- expected ctc

- Open to join in 30 days

- relevant experience in deliveries of advanced analytics initiatives