The mission of Mindtree, a Larsen & Toubro Group Company, is to engineer meaningful technology solutions to help businesses and societies flourish. Our successful technology business serves over 2000 Global customers and now, we are in a process of expanding. Mindtree is extending its technology business with specific expansion plans in UK
We are looking for an experienced professional to join our team in UK as a Data Scientist .
What you will do:
- Data Science advisory: Positions self as a Machine learning/Data Science expert and advice on various algorithms in solving the use cases in space of logistics (preferred, but not mandatory) industry by bringing in knowledge of various techniques and expertise in data
- Clear understanding on the usage of various ML techniques based on problem statement and detailed out the same based on the requirement provided by the Analytics consultant based on customer business objectives
- Ability to work with data using any of the tools (SQL/Python/R) effectively, ability to write programs/code for data analysis, data preparation, ability to review/debug code written by data engineer
- Ability to understand the business problems and come up with the appropriate statistical techniques and leverage the results, ability to try different approaches / techniques /algorithms based on problem statement, Ability to interpret fairly the outcomes coming out of modelling and should be able to take call (if not independently) for the next steps
Exploratory data analysis/Visualisation: Ability to derive insights out of it using an appropriate tool, should be able to use all types of EDA methods (for parametric and non-parametric) relevant to a use case
Communication: Is efficient and effective at various levels of abstraction in communication. Has the ability to relate to customer business problems, playing it back to them to verify the understanding, ensuring that there is uniform understanding across stakeholders and team .
Required skills and experience:
8 to 10 years of overall experience working in hands-on analytics projects
Demonstrate great analytical skills, attention to detail, Expertise in analytical tool kits like, R, Python, Spark and AzureML
Understand technical strategies created at the organization level in alignment with business strategies. Contribute towards the creation of such technical strategies as a team member in chosen areas of specialisation
Demonstrate expert level knowledge of all the basic statistical algorithms and ability to understand the logics behind the algorithms
Ability to weave a story from business landscape, business challenges, chosen problem statement, process of problem solving, EDA output walkthrough, model walk through, interpretation, possible business impact, suggest decisions
Experienced in working for clients or in consulting environment as a trusted advisor on data science solutions