• Senior Data Scientist

Experience Range 8 - 10 Years
Not active

Skills NLP
Job Description
About Us
We are developers of digital futures! Tietoevry creates purposeful technology that reinvents the world for good. We are a leading technology company with a strong Nordic heritage and global capabilities. Based on our core values of openness, trust, and diversity, we work with our customers to develop digital futures where businesses, societies, and humanity thrive. Our 24,000 experts globally specialize in cloud, data, and software, serving thousands of enterprise and public-sector customers in approximately 90 countries. Tietoevry's annual turnover is approximately EUR 3 billion, and the company's shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Børs (www.tietoevry.com).
Roles and Responsibility

Senior Data Scientist

 

 

 

Role:

         Build strong working relationships with key business stakeholders in order to identify technical solutions to solve complex business problems.

         Define the data science roadmap and own end to end project development, delivery and implementation.

         Develop exploratory proof of concept machine learning models following an agile test and learn approach.

         Work closely with our data engineers to enhance our model deployment architecture.

         Be an expert in the field of data science to mentor and support junior team members.

         Continue to develop our data science capabilities through technical research, collaboration with subject matter experts (both internal and external) and new data source identification.

 

 

Key Skills:

 

         Experience in Machine Learning, supervised and unsupervised: - Forecasting,

Classification, Regression, Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms,

Random Forest, Search Algorithms, Gradient algorithms etc

         Exposure to pre trained models and LLMs

         Exposure to Neural Networks/Deep Learning Algorithms

         Good understanding of basic statical techniques QC tools, ANOVA, Hypothesis, Chi Square tests

         Experience in creating simple web pages using HTML/ASP.Net

         Should have owned at least one ML model's complete life cycle in production.

         Should have analyzed the performance of this deployed model and deduced prescriptive ML / business actions

         Experience with programming languages like Python, analytical packages/libraries like Pandas, Scikit-learn, Seaborn, matplotlib, numpy etc)

         Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.

         Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.

         Using innovative ideas to collect, curate or synthesize data

         Familiarity with machine learning frameworks (like Keras or TensorFlow)

         Fair knowledge on any RDBMS (MySQL / Oracle /MS SQL)

         Benchmark, validate and test the solution for real-world environments

         Optimize the solution for accuracy and performance

         Experience developing with AI cloud platforms and services (Google cloud, AWS, Azure) is desirable

         Must be a self-starter with the ability to manage their own work.

         Demonstrated history of successful ML projects

 

Good To Have:

         Design and build production-grade Large Language Models (LLM) Apps, PoC, and MVP by leveraging advanced NLP, GenAI Tech and foundational models.

         Be an NLP and ML expert leveraging GenAI, and LLM to build high-quality AI Systems

         Have at least good understanding on any one of the domains- Healthcare, BFS, Insurance, Retail etc.

 

 

 

Experience:

 

8 to 10 years of relevant experience

 

Qualifications:

Bachelor's / master’s in Computer Science/  Data science with 3-5 year’s experience OR in Statistics/Mathematics with minimum 3-5 relevant years of experience

 

 

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