FAQs
What is the job title for this position?
The job title is Junior Data Scientist.
What type of company is kwiff?
Kwiff is a company that is redefining the gambling experience with a player-first approach to sports betting and casino.
What are the main responsibilities of the Junior Data Scientist?
The main responsibilities include building models and machine learning algorithms, analyzing data to uncover trends, designing and developing data models and ETL pipelines, acting as a point of contact for data-related queries, monitoring production models, and working autonomously to deliver impactful work.
What essential skills are required for this role?
Essential skills include a degree in a STEM subject, experience with SQL and Python, familiarity with machine learning concepts, experience in data cleansing and visualization, experience developing cloud-based ML solutions, familiarity with Git/GitHub, and excellent communication skills.
Are there any bonus skills that are considered a plus for this position?
Yes, bonus skills include experience delivering data science projects end-to-end in a commercial environment, experience with recommender systems, and familiarity with the e-gaming industry.
What kind of benefits does kwiff offer?
Kwiff offers benefits such as private healthcare, life insurance, performance bonuses, wellbeing allowance, sustainable commuting options, parental support, long service rewards, a learning budget, team socials and activities, and a hybrid working model.
Where is the kwiff office located?
The kwiff office is located in Chiswick.
How many days a week is remote work permitted?
Remote work is permitted for two days a week with a hybrid working model.
Is kwiff an equal opportunity employer?
Yes, kwiff is an equal opportunity employer committed to creating an inclusive environment for all employees.
What kind of projects will the Junior Data Scientist work on?
The Junior Data Scientist will work on answering meaningful research questions, building tools that deliver impact, and engaging in a variety of data science initiatives across the organization.
