Senior Data Scientist

loveholidays; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading travel agency in Greater London is looking for a Data Scientist to leverage data science and machine learning techniques to drive business growth. The role involves designing experiments, implementing models, and collaborating across teams to enhance performance. Candidates should have solid Python and SQL skills, along with a deep understanding of machine learning. Benefits include a training budget, hybrid working model, and 25 days of holiday per year plus public holidays.

Benefits

Company pension contributions at 5%

Training budget

Discounted holidays

25 days of holidays plus 8 public holidays

Ability to buy and sell annual leave

Subsidised gym memberships

Cycle to work scheme

Monthly office-based social events

Qualifications

• Design experiments and implement models to produce practical insights.
• Deep understanding of Machine Learning and statistical techniques.
• Write high-quality Python for feature engineering and model training.
• Solid grounding in SQL.

Responsibilities

• Use data to drive business growth through machine learning.
• Set up, monitor and track large scale experiments.
• Work closely with other business units to improve trading results.
• Engage with stakeholders to enhance conversions and margins.

Skills

Problem-solving

Innovation

Self-starter

Team player

Communication skills

Tools

Python

SQL

Airflow

Google Cloud Platform

Docker

Kubernetes

Job description

About the role

Our Data Scientists use data to help boost an already rapid business growth trajectory, to make better decisions, faster by using machine learning and data science techniques. This encompasses data cleaning / joining, feature engineering, model training, data pipelines / scheduling, and communicating results to the business.

📈 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