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- Tasks: Design and deploy machine learning models to solve real business challenges.
- Company: GAIN, a creative-led company blending data, tech, and creativity.
- Benefits: Private medical insurance, life assurance, income protection, and discounts on various services.
- Why this job: Join a team that fuels creativity with data and drives impactful decisions.
- Qualifications: 6+ years in data science, experience with Azure ML, and strong analytical skills.
- Other info: Dynamic hybrid work environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
Business Unit: Customer Science: We help brands to get a deeper understanding of their customers and uncover opportunities for more personalised experiences.
Team: Analytics
Reporting to: Head of Analytics
Location: London/Hybrid – 2 days in office minimum
ABOUT
GAIN is a creative-led, insight-driven company that blends data, tech and creativity. We believe the best ideas emerge where intelligence and creativity unite, where insight sparks imagination, and where innovation turns possibility into progress. We are explorers of new frontiers, shaping bold strategies that move people, brands, and businesses forward. Individually and together, our specialist teams provide the vision, data, and confidence brands and organisations need to make braver, more impactful decisions.
Today as GAIN, we work as a united force, using data to fuel creativity, and technology to unlock new possibilities. As imagineers we don’t just embrace innovation – we engineer it, transforming information into action, and ideas into breakthroughs. This is where rebel thinking, smart technology, and data-driven creativity shape the future. Through our five specialist teams: Creative Studio, Conversion, Customer Science, Experience and Performance. Individually, and together, we work to fuel your growth, and deliver measurable impact.
THE ROLE
The purpose of the Analytics Team is to deliver insightful and actionable analysis that answers our clients’ objectives in a timely manner. This role will assist the Head of Analytics and Chief Data Scientist in shaping and developing new solutions and models to deliver on client’s objectives. The post holder will be responsible for the shaping on the R&D branch of the team.
RESPONSIBILITIES
- Design, develop and deploy machine learning models to solve business problems using Azure ML
- Work with the team on creating bespoke models and segmentation to assist our clients in their understanding of their customers
- Collaborate with product and development departments to understand company needs and translate them into technical solutions
- Define and manage rollout of new analytical products and models across both the Analytics team and the wider business
- Advise on the suitability of different statistical techniques to solve difficult problems, both with internal and external stakeholders
- Design and implement data experiments, conduct A/B testing, and evaluate product performance using appropriate statistical techniques
- Create roadmap of new modelling, prioritising based on business needs and managing the resourcing and delivery plan
- Be a champion of best practice for GAIN’s data science technology and processes
- Stay up-to-date with the latest advancements in data science, machine learning, and analytics tools and techniques, and apply them to drive innovation
- Ability to communicate results and ideas to key decision makers
QUALIFICATIONS
- 6+ years experience as a Data Scientist or Data Analyst
- Hands-on experience with modern cloud platforms (Databricks, Azure, GCP etc.)
- Experience with machine learning platforms (preferably Azure ML)
- Previous experience with customer data
- Analytical mind and business acumen with Data-oriented personality
- Knowledge of retail and marketing data requirements
- Excellent communication and presentation skills: can explain complex analytical work in a logical way which can be understood by a non-analytical audience
- Strong applied statistical skills, such as clustering, statistical testing, classification etc
- Capable of planning and managing own time to ensure timely delivery of projects
OUTCOMES
- Key point of contact in the business for modelling and product development
- All models are delivered successful to specification and schedule
- Our modelling capabilities are enhanced through effective development of new products
- Best practice in the team is established and followed
- Recommendations for improvements to existing products are identified and implemented
- Stakeholders are kept up to date on all projects and long-term roadmap
MEASURES OF SUCCESS
- Accurate and timely delivery of new data science projects, to technical specifications and ensuring the solution of key client objectives
- Continual improvement achieved as a result of identifying and implementing improvements and replacements of existing analytics products
- Good relationships built with internal teams, recognised as a Data Science lead for cross departmental projects
HOW YOU’LL WORK
- Constant curiosity: You can think critically and understand the data, knowing where you need to take action. You’re analytical with the ability to investigate and resolve
- Pushing boundaries: You’ll make the most efficient use of technology, suggesting process improvements
- The power of our imagination: You’re a problem solver who goes the extra mile. You’ll know the best approach to take with clients to get results
- Making it happen: You’re proactive and you know you can make a difference. You use your sound judgement when making decisions and you take responsibility for your decisions and actions
- Putting people first: You’ll build effective relationships with people, internally and externally, understanding both business and client needs
Benefits
- Private Medical Insurance
- BUPA Life Assurance
- Income protection
- Employee Assistance Programme
- Cycle to Work salary sacrifice scheme
- Tech & Wearables salary sacrifice scheme
- Octopus EV Scheme
- Discounts and deals on a range of items from hotels, holidays and hormone testing to cinema, gyms and will writing
GAIN is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.
GAIN Customer Science - Senior Data Scientist in London employer: This is Gain Ltd
Contact Detail:
This is Gain Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GAIN Customer Science - Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common data science questions and showcasing your problem-solving skills. Use real-world examples from your experience to demonstrate how you've tackled challenges and delivered results.
✨Tip Number 3
Don’t just apply for jobs; tailor your approach! Research the companies you're interested in and understand their needs. When you reach out, mention how your skills can help them achieve their goals, especially in customer science and analytics.
✨Tip Number 4
Keep an eye on our website for the latest job openings at GAIN. Applying directly through our site not only shows your interest but also gives you a better chance of being noticed by our hiring team!
We think you need these skills to ace GAIN Customer Science - Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with machine learning, Azure ML, and any relevant customer data projects. We want to see how your skills align with our mission at GAIN!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our Analytics Team. Be sure to mention specific projects or experiences that showcase your analytical mind and creativity.
Showcase Your Communication Skills: Since you'll be explaining complex data concepts to non-analytical audiences, it's crucial to demonstrate your communication skills in your application. Use clear, concise language and avoid jargon where possible. We love candidates who can make data accessible!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your application status. Plus, it shows you're keen on joining the GAIN family!
How to prepare for a job interview at This is Gain Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning models and statistical techniques. Be ready to discuss your hands-on experience with platforms like Azure ML, and how you've applied these skills in real-world scenarios. This role is all about delivering actionable insights, so be prepared to showcase your analytical prowess.
✨Understand the Business Context
It's crucial to connect your technical skills with business needs. Familiarise yourself with retail and marketing data requirements, and think about how your work can drive client objectives. During the interview, demonstrate your ability to translate complex data into understandable insights for non-analytical stakeholders.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so highlight your experience in cross-departmental projects. Share examples of how you've collaborated with product and development departments to create tailored solutions. Emphasise your communication skills and your knack for building effective relationships.
✨Stay Curious and Innovative
GAIN values curiosity and innovation, so come prepared with examples of how you've pushed boundaries in your previous roles. Discuss any process improvements you've suggested or implemented, and how you've kept up-to-date with the latest advancements in data science. Show them you're not just a data scientist, but a forward-thinking problem solver.