Logo of Huzzle

Junior Data Scientist

image

kwiff

1mo ago

  • Job
    Full-time
    Entry & Junior Level
  • Data
    IT & Cybersecurity
  • London

AI generated summary

  • You need a STEM degree (ideally Master’s), SQL & Python skills, machine learning familiarity, data analysis experience, cloud ML solutions, Git/GitHub knowledge, and strong communication abilities.
  • You will build and deploy machine learning models, analyze data for insights, develop ETL pipelines, handle data queries, monitor production models, and collaborate across teams to solve various problems.

Requirements

  • A degree in a STEM subject, ideally at Master’s level
  • Experience with SQL and Python
  • Familiarity with machine learning concepts and their practical application
  • Experience in cleaning, structuring, analysing, and visualising data from multiple sources
  • Experience developing cloud-based machine learning solutions
  • Familiarity with Git/GitHub
  • Ability to communicate complex data science concepts to non-technical audiences, building credibility and trust while influencing stakeholders
  • Excellent communication and presentation skills

Responsibilities

  • Build models and machine learning algorithms, taking ideas from initial concept through to deployment in our live production environment.
  • Analyse data to uncover trends and patterns, presenting insights in a clear and commercially impactful way.
  • Design and develop data models and ETL pipelines to support machine learning initiatives.
  • Act as a key point of contact for data-related queries, becoming a trusted expert across the organisation.
  • Monitor and maintain production models, ensuring they are optimised, reliable, and proactively improved.
  • Shape your own path to impact, working autonomously with support from a team of smart, curious colleagues to define and deliver meaningful work.
  • Grow as a Data Scientist, gaining exposure to a wide range of problems, collaborating across teams, and continuously developing your skillset.

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.

Supercharge your betting

Entertainment & Media
Industry
51-200
Employees
2015
Founded Year

Mission & Purpose

kwiff is supercharging betting - making it bigger, better, and more entertaining. The only place where the odds on any player’s sports bet could epically improve - regardless of the sport, odds, or stake. This is called getting kwiffed. The app also offers players a range of casino games, including live casino and slots. Founded in 2015, we want to tear down the betting industry and rebuild a better one. One that works for the player, not the industry. kwiff is regulated and active in the UK and Internationally.