At a Glance
- Tasks: Dive into data science, machine learning, and AI to solve real business challenges.
- Company: Join Weber Shandwick, a leader in creating cultural value for top global brands.
- Benefits: Enjoy flexible working, private medical insurance, and 25 days of annual leave plus perks.
- Why this job: Work with brilliant minds, gain hands-on experience, and make a meaningful impact.
- Qualifications: Experience with LLMs, Python, SQL, and a strong data science background required.
- Other info: Embrace a fast-paced environment with opportunities for professional growth and training.
The predicted salary is between 43200 - 72000 £ per year.
Who is Weber Shandwick?
We create cultural value and help brands navigate the ever-changing age of earned: an age where consumers actively say no to advertising; an age where everyone is an influencer that can make or break your brand; an age where content can be turned into commercial opportunity. Our talented team builds brands by finding connection points in the real world. We energise the right mix of talent, using the right platforms and latest technology to choreograph stories that make a real and meaningful impact for some of the world’s leading brands and businesses e.g. HSBC, Ikea, Unilever and eBay to name a few.
We earn affection, attention, affinity and purchase by delivering value to people around the world, with deep specialisms across food & drink, travel & tourism, consumer tech, consumer health, automotive, sports sponsorship, entertainment & lifestyle and energy. We are known for:
- Develop data driven insights and strategies to drive measurable impact
- Creating impactful creative campaigns that tap into culture
- Creating channel and platform agnostic campaigns that grow organically
- Delivering integrated campaigns that are earned-first but deliver for paid and owned
What’s Happening?
Weber Shandwick is excited to be looking for a Data Scientist / Senior Data Scientist (LLM) to join our Analytics & Insights team. This is an opportunity to work with the EMEA team based in London.
There is a huge opportunity to grow professionally whilst learning from some brilliant thinkers in how to apply analytics and data science in a business context. Working with various tools and methodologies, the Data Scientist will get first-hand exposure to clients, their business problems and acquire useful transferable skills both in the application of your analytics abilities and in presentation and people skills. The company also offers training opportunities tailored to your career goals and interests. In the Analytics & Insights team, we have diverse backgrounds and expertise, speak many languages and bring this variety together in the work we do as a team. We both, have and get to have, experience with clients both in the UK and globally, championing insight and analysis in decision-making to enable real business performance.
What will you be doing?
Our work covers:
- Statistical modelling and machine learning
- Data visualisation / Business intelligence
- Data pipelines and data warehouse
- Conversation analysis
- Audience insights / profiling
- Campaign reports
- Multichannel reports
On a day-to-day basis, our main aim is to identify patterns in data which will provide useful insights to our clients. We channel our positive attitude, critical thinking and analytical mind-sets to solve our client’s problems, provide inputs into strategy and see opportunities not visible without data and insights. Depending on scope and requirements we work together or individually to identify insight from large datasets (using NLP, machine learning & Gen AI capabilities) and develop data science and analytics products aimed to solve our clients’ business challenges, consolidate processes and revolutionise how we approach our work.
Among other things, this role involves the development, integration, and scaling of AI, NLP and Gen AI technologies, as well as optimising data processes and working closely with the broader AI team. Keeping up-to-date with advancements in generative AI and machine learning is crucial. This is a hands-on role.
What will you be doing?
- Design, create, and deploy Machine Learning models and applications aimed at addressing PR and earned media communication requirements.
- Assist the business in incorporating LLMs, NLP, and generative AI into current processes and workflows where applicable.
- Develop and maintain robust data pipelines and infrastructure to support ongoing and upcoming projects.
- Collaborate with both technical and non-technical teams to define, research, and implement solutions.
- Develop predictive model prototypes to solve a variety of business problems through natural language processing (NLP), natural language understanding (NLU), and recommendation engines.
- Segment audiences using algorithms such as K-means, PCA or GMMs.
- Apply your expertise in data analysis to extract key findings from large datasets and present results beyond the numbers, also using tools like Tableau and Looker.
Who are you?
Skills Needed
- The preferred candidate will have hands-on experience with large language models (LLMs), including their application in natural language processing systems throughout the development and deployment stages. A deep familiarity with current research and trends in LLMs is advantageous.
- Strong mathematical, statistical or data science background.
- Proficient in Python & SQL and ability to write clean production code.
- Experience in building datasets, selecting and engineering features, building and optimising algorithms, machine learning in production.
- Experience developing and deploying machine learning models, preferably with LLM’s, NLP or GenAI experience.
- Experience in some of the following domains: Deep Learning, Learn-to-Rank, Recommender Systems, Regression, Classification, Clustering.
- Extensive experience with ML frameworks such as PyTorch, TensorFlow, Keras, scikit-learn and Spark Mllib.
- Experience deploying to cloud systems (AWS, GCP).
- Strong ability to communicate with technical and non-technical audiences.
- Someone who enjoys a fast-paced environment and has the ability to work both independently and within a team.
Skills Desirable
- Experience in writing production grade code, unit tests, using version control.
- Experience in A/B hypothesis testing (confidence intervals and p-values, linear regression to generalised additive models, time series).
- Knowledge of Spark, Hadoop or similar platform.
- Experience with CI/CD including Git, Docker.
- Experience with data visualisation platforms like Tableau, Power BI, Looker Studio, etc.
- Experience with front-end visualisation platforms like Streamlit, Dash, Flask.
Core Benefits:
- Private medical insurance
- Group life assurance
- Group income protection
- Personal pension plan
- Employee Assistance Programme
Flexible Benefits:
- Buy or sell holiday
- Additional life assurance cover
- Critical illness insurance
- Personal Accident Insurance
- Dental Insurance
- Travel Insurance
- Health screening
- Gym discounts
- Cycle to work scheme
- Health cash plan
- Flexible working with our 3:2 hybrid work model
- 4pm Friday finish
- Equivalent of $250 USD for new joiners on 6 month + contract to support home working setup
- 25 days’ annual leave (in addition to public holidays) plus 2 volunteering days, birthday day off work and festive period off.
- Flexible public holidays (from 2023).
- Sweets and snacks in the office.
- Exclusive shopping discounts and perks.
- Headspace membership.
- Annual eyecare voucher.
- Season ticket loan.
- Referral bonus scheme.
- Long service bonus.
- Enhanced family leave.
- Inclusive and invisible health policies.
We appreciate the time take to apply for the role and your recent interest in Weber Shandwick. We will review all applications within five working days and be in touch with those who have been shortlisted to the next stage. Unfortunately, due to volume we are not able to get back to everyone individually so if you have not heard back from us unfortunately you have not been successful on this occasion and wish you all the best in your search.
At IPG we are proud to be a Disability Confident Employer. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
We make our careers website accessible to any and all users. If you need an accommodation to participate in the application process, please contact us at This email address is not for general employment inquiries or vendors; rather it is strictly for applicants who require special assistance accessing our employment website. Due to volume, messages sent to this email address that are not related to an accommodation cannot be answered.
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Data Scientist / Senior Data Scientist (LLM) employer: Weber Shandwick
Contact Detail:
Weber Shandwick Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Senior Data Scientist (LLM)
✨Tip Number 1
Familiarize yourself with the latest trends in large language models (LLMs) and natural language processing (NLP). This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your hands-on experience with machine learning frameworks like PyTorch or TensorFlow. Be prepared to discuss specific projects where you've applied these technologies, as this will demonstrate your practical skills and problem-solving abilities.
✨Tip Number 3
Highlight your ability to communicate complex data insights to both technical and non-technical audiences. This is crucial for the role, so think of examples where you've successfully conveyed data-driven findings in a clear and impactful way.
✨Tip Number 4
Stay updated on advancements in generative AI and machine learning. Being knowledgeable about recent developments will not only impress your interviewers but also show your commitment to continuous learning in this fast-paced field.
We think you need these skills to ace Data Scientist / Senior Data Scientist (LLM)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist / Senior Data Scientist position. Familiarize yourself with the key skills mentioned in the job description, such as experience with LLMs, NLP, and machine learning.
Tailor Your CV: Customize your CV to highlight relevant experiences and skills that align with the job description. Emphasize your hands-on experience with large language models, data analysis, and any specific tools or frameworks mentioned, like Python, SQL, or TensorFlow.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background fits the role. Mention specific projects or experiences where you've successfully applied your analytical skills to solve business problems, particularly in a fast-paced environment.
Showcase Your Technical Skills: In your application, be sure to include examples of your technical expertise, such as developing and deploying machine learning models or working with data visualization tools like Tableau. Highlight any experience with cloud systems and CI/CD practices, as these are valuable for the role.
How to prepare for a job interview at Weber Shandwick
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with large language models (LLMs) and how you've applied them in real-world scenarios. Highlight specific projects where you utilized Python, SQL, and machine learning frameworks like PyTorch or TensorFlow.
✨Demonstrate Problem-Solving Abilities
During the interview, be ready to explain how you've tackled complex business problems using data analysis and machine learning. Use examples that illustrate your critical thinking and analytical mindset, especially in identifying patterns and insights from large datasets.
✨Communicate Effectively
Since the role involves collaboration with both technical and non-technical teams, practice explaining complex concepts in simple terms. Prepare to discuss how you've successfully communicated findings and insights to diverse audiences in previous roles.
✨Stay Updated on Industry Trends
Show your passion for the field by discussing recent advancements in generative AI and machine learning. Being knowledgeable about current research and trends will demonstrate your commitment to continuous learning and innovation in data science.