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For Companies At a Glance
- Tasks: Join our team to build machine learning models that enhance customer experiences across various industries.
- Company: Work with a leading Global Marketing Communications agency known for innovation and excellence.
- Benefits: Enjoy a hybrid work environment, competitive salary, and the chance to work with diverse clients.
- Why this job: This role offers a dynamic atmosphere, inspiring leadership, and the opportunity to make a real impact.
- Qualifications: Degree in Computer Science or related field; advanced skills in SQL, Python, and machine learning required.
- Other info: Collaborate with top-tier clients and internal teams to deliver cutting-edge data science solutions.
The predicted salary is between 56000 - 84000 £ per year.
SENIOR DATA SCIENTIST Customer & Marketing £70k – £90k Hybrid / London Work across a range of clients in retail, telco, automotive and healthcare industries Deliver a range of machine learning and AI products and solutions to elevate omnichannel customer experience, personalisation and media campaign performance Fast paced environment, established team and inspiring leadership Excellent communication skills to liaise with, and nurture client relationships Omnis Partners are delighted to be partnered with a Global Marketing Communications agency to hire for a Senior Data Scientist to join their industry-leading Digital & Customer team. A chance to diversify your experience by working across multiple clients in various industries, delivering advanced data science solutions including price optimisation, optimising media performance and spend, forecasting, propensity modelling, and supporting hyper personalisation for customers. Responsibilities: Employ strong technical data science skills to build machine learning models to optimise digital customer journeys; pricing and promotions optimisation, recommenders and marketing media campaign performance Deliver insights to drive the understanding of customers, helping to shape future strategies, improve customer experience, deepen engagement, drive revenue Work with clients to help build relationships with key stakeholders from across the business and translate their ambitions and goals into analytical challenges Experience: Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Advanced coding skills with SQL, working with large and complex data sets to extract insights and identify trends Advanced programming and modelling skills with Python, including experience with Jupyter notebooks, Pandas, SciKit, PyTorch, CI/CD, and Git A strong background in machine learning for customer and marketing purposes delivering solutions around pricing, promotions, building recommendation engines, forecasting and marketing media performance optimisation Experience with cloud platforms such as Snowflake, AWS and DataBricks Excellent problem solving skills to deliver best-in-class data science products and solutions for end clients Strong client-facing skills, collaborating with internal data science teams to optimise data science product scalability and commercial return
Senior Data Scientist employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the specific industries mentioned in the job description, such as retail, telco, automotive, and healthcare. Understanding the unique challenges and opportunities in these sectors will help you demonstrate your ability to deliver tailored data science solutions.
✨Tip Number 2
Highlight your experience with machine learning models that optimize customer journeys and marketing performance. Be prepared to discuss specific projects where you've successfully implemented these solutions, as this will showcase your practical skills and impact.
✨Tip Number 3
Develop a strong understanding of the tools and technologies mentioned, such as SQL, Python, and cloud platforms like AWS and Snowflake. Being able to speak confidently about your proficiency with these tools will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your client-facing experience and how you've built relationships with stakeholders. This role emphasizes collaboration, so showcasing your communication skills and ability to translate business goals into analytical challenges will be crucial.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Senior Data Scientist position. Highlight your experience in machine learning, data science, and client relationship management in your application.
Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job description. Emphasize your advanced coding skills in SQL and Python, as well as your experience with cloud platforms like Snowflake and AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to deliver insights that drive customer understanding. Mention specific projects or achievements that demonstrate your problem-solving skills and technical expertise.
Highlight Client-Facing Experience: Since the role requires excellent communication skills and the ability to nurture client relationships, make sure to include examples of your experience working with clients and translating their goals into analytical challenges.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models and data science techniques. Highlight specific projects where you've used Python, SQL, or cloud platforms like AWS and Snowflake to solve real-world problems.
✨Demonstrate Client Engagement Experience
Since the role involves liaising with clients, share examples of how you've built relationships with stakeholders in previous roles. Discuss how you translated their goals into analytical challenges and the impact of your work on their business.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when tackling complex data science challenges, especially those related to customer experience and marketing optimization.
✨Communicate Clearly and Effectively
Excellent communication is key in this role. Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to bridge the gap between data science and business needs.
