CAREER

Data Scientist

HL Tech is a modern technology centre supporting software development and strategic digital transformation of the British financial market giant, Hargreaves Lansdown(HL). HL is the UK’s number one platform for private investors, looking after £132.3 billion of savings and investments on behalf of over 1.7 million clients.

HL Tech was founded in July 2017 in Warsaw and currently employs 80 of the best IT experts in their field, who focus on clean code, autonomy in projects, customer needs, best practices and good design. At HL Tech, we create a space for innovation and development based on the culture of knowledge sharing, constant learning, feedback and friendly atmosphere.

We are seeking a Data Scientist to join our rapidly growing Data Science team. As a team we are focused on building intelligent Machine Learning data solutions to inform decision making and help our clients save and invest with confidence. We do this through building out our personalisation tool kit, creating forecasting models to understand future volumes, using NLP to understand the voice of the client, and so on.

We are looking for you to operate in a hybrid way of working with a couple of days in the office a week and the rest remotely, our office is located in Warsaw Spire.

General information

  • Possible work locations:
    hybrid/office (Warsaw Spire)
  • Salary gross (CoE):
    18 000 – 24 000 PLN
  • Employment type:
    permanent contract
  • Company size:
    80 people
  • Operating system:
    Windows
  • Computer:
    Notebook
  • Monitors:
    24" x 2
  • Mobile phone:
    Yes

Key Responsibilities

  • Build predictive/descriptive capabilities in the cloud that improves both client experience and colleague effectiveness
  • Monitor, retrain and optimise existing models to maintain model performance
  • Surface model outputs through API’s
  • Engage and partner with product teams to identify problems and embed solutions
  • Identify areas to innovate and use data or automation intelligently to improve the client or our colleagues experience
  • Continually develop our technical capability in order to use data effectively 

Recruitment process steps

1. Contact by telephone

2. Technical interview and meeting the HR team (online)

Any questions? Feel free to contact me!

Alina Yanchenko

IT Recruiter
alina.yanchenko@hltech.com

Requirements

Must have:

  • Strong commercial experience in data, a proven background in innovative problem solving and delivering results.
  • Experience in building ML solutions in the cloud (preferably AWS)
  • Strong coding ability (R/Python), in addition to SQL (Hive & Impala)
  • Demonstrable influencing and stakeholder management skills; operate in a way that generates trust and collaboration with an awareness of how to challenge effectively
  • Engaging communicator, able to bring relevant narrative to the data and able to adapt presentation skills to suit your audience
  • Operate autonomously, skilled at managing own workload and priorities
  • Proficient user of project management tools (e.g. Confluence/JIRA)
  • Skilled at implementing statistical techniques in production-grade code
  • Skilled at analysing and manipulating large data sets and distributed computing (Hive/Hadoop)
  • Familiarity with machine learning methods such as neural networks and reinforcement learning
  • API development/deployment
  • Very good command of Polish & English

Benefits

  • Copy rights (50% tax relief due to creative type of work)
  • PPE (4% employer contribution without any additional cost nor employee contributions required)
  • Annual bonus depending on performance
  • Conference & Training budget
  • English lessons with native speakers
  • Private health care & Life insurance
  • MyBenefit Cafeteria (benefits platform)
  • 2 additional days for volunteering events
  • Team events
  • Buddy programme
  • Opportunity to grow according to your level of expertise
  • Working with new technologies and a multi-diverse team
  • Many opportunities to share knowledge and ideas
  • In-house Trainings

Read more about our benefits

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