Senior Data Scientist

Company Description

Informa PLC is a leading international events, intelligence and scholarly research group.

Our purpose is to champion the specialist. Through hundreds of powerful brands, we work with businesses and professionals in specialist markets, providing the connections, intelligence and opportunities that help customers grow, do business, make breakthroughs and take better informed decisions. Informa is listed on London Stock Exchange and a member of FTSE 100, with over 11,000 colleagues working in more than 30 countries.

Informa Markets is one of the largest pure-play providers of speciality business-to-business market access services in the world. We have the leading position in twelve distinct commercial marketplaces on a global basis. We help buyers and sellers grow their businesses in industries as diverse as pharmaceutical and food through to luxury yachts, fashion and beauty products. We connect, educate, and provide actionable insights across specialty commercial sectors.

And we do this through scale trade exhibitions as well as innovative digital market access services for B2B suppliers and buyers.

Now, by leveraging our unique first party market data, we have embarked upon an ambitious programme to expand the way that we assist these communities in uniquely powerful ways.

This role will involve working closely with brand-aligned product leads to consistently improve results for our data led initiatives within 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.

Job Description

• 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, 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 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 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.

Qualifications

• Educated to degree level or equivalent. Good to have masters/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 strong ability to provide analysis-driven business insight and recommendations.
• Good MLOps knowledge preferably using 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.
• B2B customer data experience a big plus.

Additional Information

Why work at Informa?

Employee experience is very important to us at Informa. On top of joining a supportive, diverse and ambitious team that welcomes all types of candidates. We are also flexible with different working patterns and prioritize promotions internally.

Our benefits include:

• Tailored development opportunities and on-demand access to thousands of courses on LinkedIn
• Balance time in the office with time working remotely, feeling fully supported wherever you are
• 24 days annual leave, 4 days for volunteering and a day off for your birthday!
• The chance to work from (almost!) anywhere across the globe, four weeks a year
• Competitive and rewarding benefits, tailored to each of our regions
• Work with high quality specialist products
• Bright and friendly staff who are all “expert’s experts” and additional training and development for helping you achieve your career aspiration
• The chance to become an Informa shareholder, with extra rewards just for colleagues
• Regular social events and networking opportunities

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.

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