Data Scientist / Senior Data Scientist (LLM)

Job title:

Data Scientist / Senior Data Scientist (LLM)

Company

Weber Shandwick

Job description

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 workIt really is never boring in our team. The type of analytics work we do 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 deployment of 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 [email protected]. 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.#LI-LM1We 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 [email protected]. 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.

Expected salary

Location

London

Job date

Thu, 26 Dec 2024 23:59:22 GMT

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