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For Companies At a Glance
- Tasks: Design and deploy machine learning models to solve real business challenges.
- Company: Join GAIN, a creative-led company blending data, tech, and creativity.
- Benefits: Enjoy private medical insurance, life assurance, and discounts on various services.
- Why this job: Make an impact by transforming data into actionable insights for top brands.
- Qualifications: 6+ years in data science, with hands-on experience in cloud platforms and machine learning.
- Other info: Work in a dynamic environment with opportunities for growth and innovation.
The predicted salary is between 48000 - 72000 £ per year.
Overview
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.
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
Requirements
- 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
Our benefits for UK employees include:
- 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 employer: Gain
Contact Detail:
Gain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GAIN Customer Science - Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect 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 researching the company and its culture. Understand their products and how your skills can help them achieve their goals. Tailor your responses to show how you can contribute to their success.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help you articulate your thoughts clearly and boost your confidence when it’s time to shine.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can leave a lasting impression and keep you top of mind. Plus, it shows your enthusiasm for the role!
We think you need these skills to ace GAIN Customer Science - Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Scientist. Highlight your experience with machine learning, cloud platforms, and customer data. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team at GAIN. Don’t forget to mention any relevant projects or achievements.
Showcase Your Analytical Skills: In your application, be sure to showcase your analytical mind and business acumen. We love candidates who can explain complex concepts in a way that’s easy to understand, so don’t shy away from sharing examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Gain
✨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 solving business problems, so be prepared to showcase your analytical mind!
✨Understand the Business Context
It's crucial to connect your technical skills with the business objectives of GAIN. Familiarise yourself with retail and marketing data requirements, and think about how your work can drive personalised experiences for clients. Show them you can translate complex data into actionable insights that align with their goals.
✨Communicate Like a Pro
You’ll need to explain your analytical work to non-technical stakeholders, so practice simplifying complex concepts. Prepare examples of how you've successfully communicated results in the past, and be ready to demonstrate your excellent presentation skills during the interview.
✨Show Your Curiosity and Proactivity
GAIN values constant curiosity and pushing boundaries. Be prepared to discuss how you've approached problem-solving in the past, and share examples of when you've gone the extra mile to deliver results. Highlight your proactive nature and how you take responsibility for your decisions and actions.