Senior Data Scientist - OOH Route

Senior Data Scientist - OOH Route

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data science projects, develop machine learning models, and engage with stakeholders.
  • Company: Ipsos, a leading global research company focused on data-driven insights.
  • Benefits: 25 days annual leave, pension, flexible working, and professional development opportunities.
  • Why this job: Shape innovative solutions in audience measurement and enhance your leadership skills.
  • Qualifications: Strong background in geospatial data, programming in R/Python, and cloud computing experience.
  • Other info: Join a diverse team committed to inclusivity and making a real impact.

The predicted salary is between 36000 - 60000 £ per year.

The Audience Measurement team at Ipsos uses a deep understanding of people to make sense of audiences and how they consume media. We use these insights to influence media strategy, helping clients to answer crucial questions, such as how to target audiences, maximise attention across platforms, enhance audience experience, and demonstrate or increase audience value.

We are recruiting a Senior Data Scientist for our flagship account, Out Of Home – Route. Your work will be pivotal to the Route project's long-term success. You will form part of the Out-of-home leadership team, taking ownership of key product areas, engaging and communicating with stakeholders, both internal and external.

We are seeking someone with a strong background in location, geospatial data. You will need to have expertise in R, Python, SQL and Google Cloud Platform. Ideally you will have an academic background in Physics and Mathematics.

What is in it for you?

  • This role is a central role in the day-to-day work of our specialised Out-of-Home data science team.
  • The opportunity to enhance your business leadership skills.
  • The chance to influence and shape solutions from strategy to deployment.
  • You will form part of the Out-of-home leadership team, taking ownership of key product areas, engaging and communicating with stakeholders, both internal and external.
  • The chance to develop and deliver a market leading synthetic population solution for the GB market, leveraging a data driven approach using deep generative modelling and other state-of-the-art AI and ML methodologies.
  • The opportunity to coach, mentor and develop others.

The Role:

  • This is a “hands-on” role with line reporting responsibilities.
  • You will be working in a strong data science team and alongside data engineering, data operations, product management and domain experts in audience measurement in a highly skilled and supportive environment.
  • Developing and delivering a market leading synthetic population.
  • Developing and maintaining production quality data science software and pipeline systems for our out-of-home audience measurement contracts.
  • Manipulating complex data from different sources and data processing in R, Python, SQL and Google Cloud Platform.
  • Developing independently machine learning models and developing data science software according to DevOps procedures and cloud deployment of production quality models.
  • Advising the product team and stakeholders on how to use the data and analysis and communicating methodology and results.

About you:

  • A strong academic background, managing experience and multiple years of work experience in a range of mathematical/physical models/statistical models/machine learning methods, including:
  • Strong programming background and experience of deployment of production standard code as part of data science workflows: Python or R - writing functionally and/or OOP.
  • Experience working with cloud computing environments such as GCP (mandatory), AWS and Azure.
  • Experience in git with collaborative development of data science workflows/products through DevOps.
  • Supervised and unsupervised learning, simulation, optimisation, graph theory and model validation.
  • Strong intuition and enthusiasm for data including statistical and machine learning principles.
  • Tenacity in problem solving, with particular emphasis on perseverance and following the scientific method.
  • Competence in and interest in using multiple data sources, including wrangling of complex data.
  • Previous line reporting and the desire to develop further as a people leader is a pre-requisite.
  • Comfortable at line managing and organising the workload and supporting the career development of other data science members of the team.

We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities.

We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.

We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process.

About Us

Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!

Senior Data Scientist - OOH Route employer: Marketing Management Analytics, Inc.

Ipsos is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. As a Senior Data Scientist in London, you will enjoy a comprehensive benefits package, flexible working arrangements, and the opportunity to lead innovative projects within a supportive team environment. With a commitment to diversity and a focus on professional advancement, Ipsos empowers its employees to make a meaningful impact in the world of audience measurement.
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Contact Detail:

Marketing Management Analytics, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist - OOH Route

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Prepare for interviews by practising common questions and showcasing your skills. Use real-world examples from your experience with data science projects to demonstrate your expertise in R, Python, and SQL.

Tip Number 3

Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar. Plus, it’s a great way to ask about the next steps.

Tip Number 4

Check out our website for the latest job openings. We’re always looking for talented individuals like you to join our team. Applying through our site gives you a better chance of being noticed!

We think you need these skills to ace Senior Data Scientist - OOH Route

R
Python
SQL
Google Cloud Platform
Machine Learning
Statistical Modelling
Data Manipulation
DevOps
Cloud Computing
Data Wrangling
Geospatial Data Analysis
Leadership Skills
Communication Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with geospatial data, R, Python, SQL, and Google Cloud Platform. 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 audience measurement and how your background in Physics and Mathematics makes you a great fit for our team. Let us know what excites you about this role!

Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled complex data challenges in the past. We love seeing tenacity and creativity in problem-solving, so don't hold back on those success stories!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join our team at Ipsos!

How to prepare for a job interview at Marketing Management Analytics, Inc.

Know Your Data Inside Out

Make sure you have a solid grasp of the data science concepts relevant to the role, especially in geospatial data and audience measurement. Brush up on your knowledge of R, Python, SQL, and Google Cloud Platform, as these will likely come up during technical discussions.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex problems using statistical or machine learning methods. Highlight your tenacity and how you follow the scientific method to arrive at solutions, as this will resonate well with the interviewers.

Engage with Stakeholders

Since the role involves communicating with both internal and external stakeholders, practice articulating your thoughts clearly. Be ready to explain your methodologies and results in a way that non-technical audiences can understand, demonstrating your ability to bridge the gap between data and strategy.

Demonstrate Leadership Potential

As this position includes line reporting responsibilities, think about your past experiences in managing teams or mentoring others. Be prepared to discuss how you would support the career development of your team members and contribute to a positive working environment.

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