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SalaryIf you are a talented Data Scientist who's passionate about transforming data into actionable insights. Join our esteemed team at INGRITY, where your expertise as a Data Scientist will be crucial for serving our clients.At INGRITY:
Imagine the Impossible: It's not just an aspiration for our clients; we expect the same from our team.
INGRITY isn't your typical workplace; we thrive on the fusion of Intelligence & Grit. Prioritising personal growth, open communication, continuous learning, career progression, and accountability, we're on the lookout for individuals like you.Do you seek roles fostering personal growth, allowing you to excel?
Do you flourish in a culture that values open communication and diverse perspectives?
Are you passionate about expanding your skills, eager to join a company that invests in employee development?
Are integrity and accountability at the core of your values?If you answered yes to any of these questions, we invite you to explore opportunities with us and join a team committed to data smart excellence.About the job
We are looking for two aspiring Data Scientists to join our dynamic team.Your Responsibilities
Working with business partners to identify and refine use cases
Identifying, determining, and shaping data use cases
Determining appropriate analytical, statistical, or machine learning approaches to create value
Performing analysis and creating prototypes
Communicating and influencing outcomes based on data
Providing requirements to, and partnering with, technology/data engineering teams to productionise data prototypesKey Skills & Experience
3 -5 years of working experience in the Data Science space in a fast-paced environment and complex business setting.
Interpreting, telling stories, and creating value with data.
Curious and business outcome-focused with an ability to quickly understand a business problem and work out how to solve it.
knowledge of Data Science principles and experience with data science methodologies.
Comfortable working across a wide range of data sets and systems.
Practical expertise applying statistical knowledge and machine learning to solve business problems through manipulating and analysing data with SQL and Python/ R.
Hand-on experience in Data Visualisation using Tableau/ Power BI.
Hands-on experience with statistical analysis and advanced machine learning methods.
Work with business users and clients' technical teams in defining the requirements and technical specifications for data transfer, ingestion, and transformation.
Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment.
Exceptional written, verbal, and interpersonal communication skills to be able to bridge the gap between business and technical teams.
Previous experience in Financial crime or Fraud analytics is desirable.Educational Qualification:
Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, IT, Data Science.
