Data Scientist (Korean speaking)

Data Science · Manchester, Lancashire
Department Data Science
Employment Type Full-Time
Minimum Experience Experienced

Purpose of the role

 

To work with clients across multiple sectors; applying the latest research and technology to overcome real life commercial problems.

 

The opportunity  

 

Peak are a Decision Intelligence company - where we are democratising AI for every business and building a great company that everyone loves being part of. We are on a mission to help organisations use AI to make great commercial decisions, all the time. We have great plans over the coming years - to create and lead a new category of enterprise software; the decision intelligence system (Decision Intelligence), expand our operations and create the best working culture possible. Being a Data Scientist at Peak places you right at the heart of the company and at the forefront of developing practical & innovative solutions to help our customers grow and become more efficient. This is an exciting opportunity to develop your career in data science and gain highly sought after experience in the Decision Intelligence field, as we start the next stage of our global growth. 

 

Diversity is powerful

 

At Peak, we are also focused on building an amazing company: we strive to be the place where a diverse team of talented people is enabled to do their best work. We pride ourselves on bringing Decision Intelligence to our customers around the world, and we know our company relies on the creative work and dedication of our passionate teams. We are strong believers in equality and diversity of gender, ethnicity, race, sexual orientation, religion, national origin and all the other fascinating characteristics that make us unique. Our recent Best Companies award & World class accreditation for being one of the top companies to work for is a testament to this.

 

The role 

 

You’ll work as a key part of the data science team, who shape our products and drive growth by transforming how our customers operate. Interfacing with diverse people and situations - from academic experts to being onsite with our customers; this position requires a high degree of independence and responsibility. Furthermore, there is considerable opportunity to expand the role as Peak grows.

 

We’re looking for enthusiastic expertise in machine learning and data mining. An essential part of the role will involve keeping up-to-date with technological developments and research in the area. You must be enthusiastic about the discipline, excited by novel applications that these techniques offer, and have the ability to communicate your understanding and findings clearly to experts in other disciplines. 

  

Our core values

 

We are looking for teammates who are:


  • Open - excellent verbal and written communication skills, including the ability to clearly communicate complex information to those in other disciplines. 
  • Driven – shows high levels of drive, energy, resilience and a desire for professional excellence.
  • Curious - naturally inquisitive with a problem-solving mindset. 
  • Smart – keeps up to date with the latest data science news, market results and industry announcements. 
  • Responsible - effectively balance priorities and work productively as part of the team. 

 

We’d love it if you have

 

  • Ability to converse fluently in both Korean and English 
  • Prior experience in one or some of - statistical modelling, machine learning, data mining, unstructured data analytics, natural language processing.
  • Programming skills/concepts and the ability to pick up new technology with ease. Prior experience in R, Python and/or other statistical tools/languages are a plus.  
  • Familiarity with relational databases and intermediate level knowledge of SQL are a big bonus as you’ll be working with different datasets.
  • Sound understanding of a wide range of statistical techniques. 
  • The ability to understand and present findings to a non-technical audience. Prior experience in data visualization and/or deriving insight from a wide variety of data sources is a plus.

 

What we offer

 

  • Opportunity to make a large impact in a fast-growing company with global ambitions and influence Peak’s early success in entering the global market.
  • Inclusive compensation package including best in class share options, pension and generous holiday entitlement.
  • A fantastic working environment with open communication channels, flat team structure and a truly collaborative style.
  • Great maternity leave benefits (more details here).
  • Mental and physical health support through a variety of channels, e.g., Headspace and Spill app subscriptions, online yoga/boxing/HIIT classes, regular team days and social activities (online at the moment).
  • Cycle to work initiative and public transport season ticket loans.
  • Learn from like minded & talented team members across multiple disciplines.
  • Opportunity to develop in various areas that you may take an interest in as part of your personal development. 

 

About Peak


Peak is the pioneer of a new category of enterprise software, Decision Intelligence; the commercial application of AI to optimize business performance. Decision Intelligence allows companies to fulfill their potential, and grow revenues and profits. Peak’s platform is used by leading brands across industries such as retail, CPG, direct-to-consumer, construction and manufacturing. Peak’s customers include Nike, PepsiCo, KFC, PrettyLittleThing, Superdry and CJ Group. 


Peak has been named a Gartner ‘Cool Vendor’ for AI in retail, and was also named in The 10 Best Technology Companies to Work for 2021 with the Best Companies 3-star ‘World Class’ accreditation, which recognizes extraordinary levels of employee engagement. Peak is an Amazon Web Services (AWS) Retail Competency Partner and Machine Learning Competency Partner, and is ISO 27001 accredited.

 

Want to see more?

You can check some of our articles on Medium!

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  • Location
    Manchester, Lancashire
  • Department
    Data Science
  • Employment Type
    Full-Time
  • Minimum Experience
    Experienced