Role Proficiency:

Interprets data and analyses results using statistical techniques under supervision

Outcomes:

      Complies and assist in mining and acquiring data from primary and secondary sources; reorganizing the data in a format that can be easily read by either a machine or a person       Assist in identifying analyzing and interpreting trends or patterns in data sets' generating insights and helping clients make better decisions.       Conducts research on specific data sets to enable the senior analysts in their work       Assist in managing master data including creation updates and deletions.       Help developing reports and analysis that effectively communicate trends patterns and predictions using relevant data.       Provide support with technical writing and editing as required       Develop analytics to identify trend lines across several data sources within the organization       Assists senior analysts in examining and evaluate existing business processes and systems and offer suggestion for changes Set FAST goals

Measures of Outcomes:

      Schedule adherence on tasks       Quality – errors in data presentation and interpretation       Number of business processes changes highlighted due to vital analysis.       Number of stakeholder appreciations/escalations       Number of customer appreciations       No: of mandatory trainings completed

Outputs Expected:

Data Mining:

Acquiring data from various sources

Reorganizing/Filtering data:

Consider only relevant data from the mined data and convert it into a format which is consistent and analysable.

Analysis:

Use statistical methods to analyse data and generate useful results.

Create Data Models:

Use data to create models that depicts trends in the customer base and the consumer population as a whole

Create Reports:

Create reports depicting the trends and behaviours from the analysed data

Document:

Create documentation for own work as well as perform peer review of documentation of others' work

Manage knowledge:

Consume and contribute to project related documents
share point
libraries and client universities

Status Reporting:

Report status of tasks assigned Comply with project related reporting standards/process

Code:

Create efficient and reusable code. Follows coding best practices.

Code Versioning:

Organize and manage the changes and revisions to code. Use a version control tool like git
bitbucket
etc.

Quality:

Provide quality assurance of imported data
working with quality assurance analyst if necessary.

Performance Management:

Set FAST Goals and seek feedback from supervisor

Skill Examples:

      Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.       Communication Skills: Ability to present findings or translate the data into understandable documents       Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings.       Attention to Detail: Making sure to be vigilant in the analysis; coming up with accurate conclusions.       Quantitative skills - knowledge of statistical methods and data analysis software       Research skills: It is essential that applicants can undertake in-depth research quantify the information and produce qualitative and quantitative reports.       Mathematical Skills to estimate numerical data.       Work in a team environment       Proactively ask for and offer help

Knowledge Examples:

Knowledge Examples

      Proficient in mathematics and calculations.       Spreadsheet tools such as Microsoft Excel or Google Sheets       knowledge of Tableau or PowerBI       SQL       Python       DBMS       Operating Systems and software platforms       Knowledge about customer domain and also sub domain where problem is solved Code version control e.g. git bitbucket etc.

Additional Comments:

ROLE: Junior Data Scientist REQUIREMENT: · Professional experience of 3-5 years in business analysis, requirement gathering, solution workflow design for AI/ML/Analytics project · Experience in programming skills in Python and SQL · Strong understanding of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python · Experience in Deep learning techniques · Excellent Communication skills to effectively collaborate with business SMEs, UX team · Intermediate knowledge with Dev Ops practices, including CICD, Automation, Build Management, and Versioning · Understanding of Cloud services, including Microsoft Azure, GCP or Amazon Web Service · Experience in LLM/Gen AI – Prompt Engineering, RAG and parameter hypertuning · Experience in Pyspark will be an added advantage RESPONSIBILITIES: · Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills · Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering · Python, SQL Skills with working knowledge of machine learning algorithms · Drive client engagement fully and align the development team towards a technical roadmap · Implements analytical requirements by defining and analyzing system problems, designing and testing standards and solutions · Develops solution by preparing and evaluating alternative workflow solutions · Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats · Designs new analytical solutions by analyzing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications · Improves systems by studying current practices, designing modifications · Recommends controls by identifying problems, writing improved procedures · Defines project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget · Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions · Maintains system protocols by writing and updating procedures · Provides references for users by writing and maintaining user documentation; providing help desk support; training users · Maintains user confidence and protects operations by keeping information confidential · Prepares technical reports by collecting, analyzing, and summarizing information and trends · Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies