Senior Data Scientist
loveholidays
- London, England, United Kingdom
- London, England, United Kingdom
Über
We need you to set up, monitor and track large scale experiments and come up with machine learning techniques to drive business outcomes. Our Data Scientists work closely with other business units to deliver day to day trading results and engage with stakeholders and the team to plan meaningful steps to increase conversions, traffic and margins.
✅ With the high maturity of our infrastructure you will have a high level autonomy, working with interesting and challenging data sets, thinking about what can be implemented for growth and do it with NO red tape.
About you We are looking for an ambitious individual with a passion for leveraging a scientific approach to data to drive business transformation. Domain knowledge and expertise are important, but the following core attributes are essential :
Excellent problem-solving : apply their mind to many and varied problems and looks for the impactful solving of them through a combination of individual contribution and working with a range of parties
Innovative and curious : engage with colleagues from across the business, to understand their business issues, and facilitate practicable solutions
Self-starter : proactively seek out issues and opportunities and tackle them to learn and find new and better ways of doing things
Team player : work with other people in the team, take in feedback and mentor other people
Communication skills : able to influence and coordinate well with business stakeholders and present data science work to non-technical audiences
Required experience for this role
Design experiments and implement models to produce practical insights and improve business performance
A deep understanding of Machine Learning and statistical techniques for predictive modelling and forecasting - we apply machine learning and statistics to achieve business outcomes
Write high-quality Python for feature engineering and model training.
Solid grounding in SQL
You’d get bonus points if you have :
Previous experience working in e-commerce, retail, or the travel industry.
Experience with time-series forecasting
Worked with Airflow
Conducted and analysed large scale A / B experiments
Experience with technologies such as : Google Cloud Platform, particularly Vertex, Looker, and Datastudio Docker and Kubernetes
Understanding of causal inference and / or reinforcement learning
Benefits Other than an amazing environment for you to grow, have impact and show the world your incredible skills, we offer the following benefits :
Company pension contributions at 5%
Training budget for you to learn on the job and level yourself up
Discounted holidays for you, your family and friends
25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum of 30 days per annum
Ability to buy and sell annual leave
Subsidised gym memberships
Cycle to work scheme, season ticket loan and eye care vouchers
Hybrid working - we work 2 days per week from our office in Hammersmith
Monthly office based social events
Weekly Wednesday drinks in the office kitchen
Sustainably sourced fruit baskets in the office kitchen
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Sprachkenntnisse
- English
Hinweis für Nutzer
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