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Omnicom

Data Scientist

  • Hybrid

Salary

Not stated

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Description

Agency:

Adelphi

Job Function:

Data and Analytics

Job Subfunction:

Data Engineering

Company: Adelphi Values PROVE Limited, part of Adelphi Group (an Omnicom Healthcare Company)

Job Location: This role will ideally be based in our London Office. We are open to discussing flexible options.

Responsibilities

  • With the continued growth of our market access, health economics and healthcare value demonstration business we are looking to add a talented Data Scientist to our expanding team. You will have a genuine passion for problem solving and generating robust and elegant solutions based on your experience and knowledge in data science/analysis, machine learning and artificial intelligence.
  • You will leverage your technical expertise to spearhead the development of innovative technology and AI solutions that form the foundation of new service offerings for our clients. Your work will be central to expanding PROVE’s technical innovation, enhancing the effectiveness of our current services, and creating novel, market-leading solutions. As a key member of the technology and commercialisation team, you will play a pivotal role in advancing PROVE’s evidence research and review capabilities, supporting the evolution of our client services, and driving our commercial growth through cutting-edge technological advancements.
  • Purpose of the role: Apply data science/analysis, machine learning and artificial intelligence expertise to help drive the growth of technical innovation to increase efficiency of current services and develop new innovative services to broaden the client offer.

Requirements

  • You will be able to apply experience and expertise in machine learning, artificial intelligence and coding to support internal processes and create new offering for clients. A specific interest in published scientific literature and related data sources will ensure you succeed in this role. You’ll have experience navigating a wide range of data sources, structured and unstructured. You should be skilled in analysing data and generating statistical information to identify trends and patterns, you may have also developed interactive dashboards optimise analysis.
  • Essential Skills
  • University qualification in computer science/data analytics
  • Experience in machine learning, artificial intelligence, data visualisation
  • R, Python, use of data visualisation packages e.g. Power BI
  • Strong communication skills, able to explain technical concepts to non-technical stakeholders
  • Preferable Skills
  • Higher degree in in data science
  • Knowledge of the healthcare / pharmaceutical industry
  • Experience with commercialisation of technology or services
  • Exposure to cloud computing or scalable technology platforms
  • What a career at AV PROVE can offer you
  • Opportunities at Adelphi Values PROVE provide the perfect opportunity to develop your career in the healthcare industry consultancy with a focus on HEOR and Market Access. You’ll be working in a supportive team where your contribution will be valued and your development and professional growth is seen as a priority. With this in mind, training is available at every stage of your career.
  • We enjoy spending time together as a team, running regular socials. Recent activities have included quiz evenings, local team walks, Quarterly meetings and regular get togethers. Giving back has always been important to our team, each year we support one charity, as well as having fundraising activities across our offices.
  • As well as a supportive, fun and collaborative team you’ll have access to the following benefits:
  • Competitive compensation package
  • Private Healthcare (Including couples and family options)
  • Life insurance
  • Income protection insurance
  • Gym Membership
  • Further training and development
  • Who we are
  • Adelphi Values PROVE is a leading healthcare value consultancy that works with a range of healthcare product and service providers, aiding development and commercialisation. We are passionate people working as integrated global teams, growing a respected healthcare value consultancy business that is committed to personal development and rewarding high performance. We are as proud of our culture and our approach to people and their working environment, as we are of our reputation and the things that make us unique.
  • Our purpose is to improve patients’ lives by informing healthcare decisions. To do this we help our clients bring healthcare products and services to the market successfully by investigating, developing and communicating scientific evidence that defines value and informs decisions.
  • Adelphi Values PROVE is part of the Adelphi Group. Adelphi’s offer spans the lifecycle of pharmaceutical development, with comprehensive services in Strategic Product Development Consultancy, Health Economics and Outcomes Research, Real World Disease Understanding, Marketing Research, Medical Communications and Post-meeting Brand Support Services. Adelphi has a global network of offices across US, Europe and Asia and over 800 staff worldwide.
  • &xa;&xa;
  • Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Where you’d work

Hybrid, 3 days a week in the office

You can work from

  • United Kingdom

About the company

Omnicom

Office in United Kingdom

Also hiring in Toronto, Canada, New York, United States, Chicago, United States and 20 more places

3 of their 307 open roles are remote

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Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • Power BI
Type
Full-time
Specialty
Data Science
Region
United Kingdom
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Tech stack
  • Python
  • Power BI

Location

Work model
Hybrid
Region
United Kingdom
Office
  • United Kingdom
Remote from
  • United Kingdom
Days in the office
3 days

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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