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For Companies At a Glance
- Tasks: Lead a team to deliver cutting-edge AI and machine learning solutions for diverse clients.
- Company: Join a global marketing communications agency known for its innovative data science team.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by enhancing customer experiences across various industries with advanced data solutions.
- Qualifications: Degree in relevant fields; strong coding skills in SQL and Python; experience in machine learning.
- Other info: Work in a fast-paced environment with inspiring leadership and a focus on team development.
The predicted salary is between 72000 - 108000 £ per year.
DATA SCIENCE LEAD / MANAGER Customer & Marketing £90k – £130k 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 Lead, nurture and support a high performing, growing team of Data Scientists Omnis Partners are delighted to be partnered with a Global Marketing Communications agency to hire for a Senior Data Science Lead / Manager to join their industry-leading Data Science 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, churn and propensity modelling, LTV modelling and building recommendation engines to support 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 Experience in managing small teams or at least extensive mentoring capabilities Strong client-facing skills, collaborating with internal data science teams to optimise data science product scalability and commercial return
Data Science Manager employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨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 stand out during interviews.
✨Tip Number 2
Showcase your experience with machine learning models relevant to customer and marketing applications. Be prepared to discuss specific projects where you've optimized pricing, built recommendation engines, or improved media campaign performance.
✨Tip Number 3
Highlight your leadership and mentoring skills. Since this role involves leading a team of Data Scientists, be ready to share examples of how you've supported and nurtured talent in previous positions.
✨Tip Number 4
Prepare to discuss your client-facing experience. This role requires building relationships with key stakeholders, so think of instances where you've successfully translated business goals into analytical solutions.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in machine learning and AI. Emphasize your coding skills in SQL and Python, as well as any experience with cloud platforms like Snowflake or AWS.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your background aligns with the responsibilities of the role. Mention specific projects where you've optimized customer journeys or delivered insights that shaped strategies.
Showcase Leadership Experience: If you have experience managing teams or mentoring others, be sure to highlight this in your application. Discuss how you've nurtured talent and supported high-performing teams in previous roles.
Demonstrate Client-Facing Skills: Provide examples of how you've successfully collaborated with clients or stakeholders in the past. Highlight your ability to translate business goals into analytical challenges and deliver actionable insights.
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 tools. Highlight specific projects where you've used SQL, Python, or cloud platforms like AWS and Snowflake to solve real-world problems.
✨Demonstrate Leadership Experience
Since the role involves leading a team, share examples of how you've managed or mentored others in the past. Discuss your approach to nurturing talent and fostering a high-performing team environment.
✨Understand Client Needs
Research the types of clients the company works with and think about how you can help them achieve their goals. Be ready to discuss how you would translate client ambitions into actionable data science projects.
✨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 challenges, especially those related to customer experience and marketing optimization.
