Senior Data Scientist

Informa Markets, a division within Informa, creates global platforms for industries.
We organise over 500 large-scale branded and transaction-oriented events in 14 specialist markets.
These are typically not-to-be-missed annual events where buyers and sellers build relationships, see and show products and do business.
We also provide year-round online platforms where companies showcase their businesses and products and buyers conduct research, generating valuable leads, and we provide data and digital content that supports the flow of knowledge and transactions in markets. This role will involve working closely with brand-aligned product leads to consistently improve results for our data led initiatives within the Food industry.As an experienced Data Scientist, you will be at the forefront of driving data-centric decision-making to validate and qualify our product ideas and growth initiatives.
Your expertise in building scalable data science solutions will play a pivotal role in optimizing our product strategies and fuelling our growth.
This position offers an exciting opportunity to leverage data to drive value for our customers, both internal and external.As part of the Data & Analytics team within the Foods division of Informa Markets, develop analytical and machine learning models to deliver data products.Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production.Collaborate with other data & analytics team members to develop and operationalize consistent approaches to experimentation and campaign measurement.Be a master in multi-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams.Collaborate with cross-functional teams, including Product Managers, marketing teams, and sales teams, to develop data-driven hypotheses for new product ideas and growth initiatives.Design and conduct experiments to evaluate the potential impact of these hypotheses on product performance and customer engagement.Work towards identifying and monitoring success criteria to effectively forecast product growth and revenue.Identify and evaluate external and third-party data sources that complement current or future use cases.Support in the integration of external data sources seamlessly into analytical workflows for predictive and other machine learning models.Adhere to data privacy and security protocols in handling sensitive information.QualificationsEducated to degree level or equivalent.
Good to have a master's/PhD in Data Science.Minimum 5 years of relevant experience as a Data Scientist building and deploying data products on one or more of NLP, Classification algorithms, Predictive models, recommender systems, etc.Expertise in tools like Python, SQL, GIT, Sagemaker (or equivalent).Must have superb quantitative reasoning and interpretation skills with a strong ability to provide analysis-driven business insight and recommendations.Good MLOps knowledge, preferably using the AWS stack.Experience using advanced statistical techniques for experiment design (A/B and multi-cell testing) and causal inference methods for understanding business impact.Experience building relationships with partners and stakeholders.Excellent written and verbal communication skills; ability to work well with peers and leaders across data, marketing, sales, and engineering organizations.Creative problem-solver who simplifies problems to their core elements.Additional InformationWhy work at Informa?We work hard to make sure Life at Informa is rewarding, supportive, and enjoyable for everyone.
Here's some of what you can expect when you join us.
But don't just take our word for it - see what our colleagues have to say at LifeAt.Informa.com.Our benefits include:
Freedom & flexibility:
colleagues rate us highly for the flexibility and trust they receive, and most of us balance time in the office with time working remotely.Great community:
a welcoming culture with in-person and online social events, our fantastic Walk the World charity day, and active diversity and inclusion networks.Broader impact:
take up to four days per year to volunteer, with charity match funding available too.Career opportunity:
the opportunity to develop your career with bespoke training and learning, mentoring platforms, and on-demand access to thousands of courses on LinkedIn Learning.
When it's time for the next step, we encourage and support internal job moves.Time out:
24 days annual leave, rising to 27 days after two years, plus a birthday leave day and the chance to work from (almost!) anywhere for up to four weeks a year.Get three for one:
A ShareMatch scheme that allows you to become an Informa shareholder with free matching shares.Stay well:
Use FiscFree to purchase a gym subscription or a new bike with tax benefits.Strong wellbeing support through EAP assistance, mental health first aiders, a healthy living subsidy, access to health apps, and more.Recognition for great work, with global awards and kudos programmes.As an international company, the chance to collaborate with teams around the world.We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't fit all the requirements.
If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply.
You could be just what we need! We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed.
As such, Informa is proud to be an Equal Opportunity Employer.
We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics under federal, state, or local law.
•