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- Tasks: Lead Data Science initiatives, driving strategic vision and collaboration across teams.
- Company: LexisNexis is a digital pioneer in legal and business information, enhancing productivity globally.
- Benefits: Enjoy flexible hours, generous holiday allowance, wellbeing programs, and extensive learning resources.
- Why this job: Join a mission-driven team focused on innovation and advancing gender diversity in tech.
- Qualifications: Degree in tech-related field or equivalent experience; expertise in ML and data modelling required.
- Other info: Participate in initiatives supporting women in tech and community engagement.
The predicted salary is between 54000 - 84000 £ per year.
About our Team
At LexisNexis Intellectual Property (LNIP), we aim to bring clarity to innovation by delivering better outcomes to the innovation community. We help innovators make informed decisions, be more productive, and achieve superior results, ultimately advancing humanity.
About the Role
As the Data Science Director, you will be a key member of the LNIP Technology Leadership Team. Your primary responsibility will be to drive the strategic vision of Data Science and Machine Learning initiatives across the organization, ensuring alignment with organizational goals. You will lead development teams in research, design, and software development projects, providing direct input to plans, schedules, and methodologies.
At RELX, we are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment, RELX has implemented the following initiatives:
- Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses.
- Women’s Network Forum: We offer dedicated forums that foster community, mentorship, and professional growth for women.
- Inspiring Future Talent: We actively engage with schools, hosting events to inspire young females to consider and pursue careers in technology.
Responsibilities
- Serve as the technical subject matter expert, enhancing data-driven decision-making.
- Collaborate with stakeholders to prioritize roadmap items.
- Partner with leaders to identify opportunities to leverage data for business value.
- Define key performance parameters, measure progress, and provide updates to senior management.
- Monitor and analyze new Advanced Analytics & AI technologies, making recommendations for their application.
- Deliver scalable solutions, driving data and AI excellence across the organization.
- Evaluate and recommend ML tools, platforms, and frameworks.
- Assess risks associated with AI implementation, including bias, security, and compliance.
Requirements
- A degree in computer technology, physics, math, or a related field, or equivalent industry experience.
- Demonstrated ability to apply Machine Learning, Natural Language Processing, Data Mining, and/or Statistical methods to build advanced data models, including predictive and prescriptive modelling.
- Proficiency in training large-scale models using modern deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe.
- Experience leading Data Science & ML projects and teams.
- Understanding of machine learning, natural language processing, and deep learning.
- Experience with cloud-based AI services and platforms.
- Knowledge of regulatory frameworks related to AI (e.g., GDPR, CCPA).
- Ability to influence and drive change across the organization.
- Strategic thinking and vision skills.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Wellbeing programs.
- Life assurance.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Optional Dental Insurance.
- Maternity, paternity and shared parental leave.
- Employee Assistance Programme.
- Access to emergency care for both the elderly and children.
- RECARES days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources.
- Access to employee discounts scheme via Perks at Work.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
Data Science Director employer: LexisNexis Intellectual Property Solutions
Contact Detail:
LexisNexis Intellectual Property Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Director
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience in leadership roles. Attend industry conferences or webinars where you can meet potential colleagues and learn about the latest trends in data science and machine learning.
✨Tip Number 2
Showcase your leadership skills by participating in or leading data science projects within your current role. This will not only enhance your resume but also demonstrate your ability to drive strategic initiatives and manage teams effectively.
✨Tip Number 3
Stay updated on the latest advancements in AI and machine learning technologies. Subscribe to relevant journals, blogs, or podcasts to ensure you are knowledgeable about new tools and frameworks that could benefit the organisation.
✨Tip Number 4
Prepare to discuss how you can align data science initiatives with business goals during interviews. Think of specific examples where your work has led to measurable business outcomes, as this will highlight your strategic thinking and influence.
We think you need these skills to ace Data Science Director
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and leadership roles. Use specific examples that demonstrate your ability to drive strategic initiatives and lead teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and innovation. Discuss how your vision aligns with the goals of LexisNexis Intellectual Property and how you can contribute to their mission of advancing humanity through technology.
Showcase Technical Expertise: Clearly outline your proficiency in machine learning, natural language processing, and deep learning frameworks. Mention any relevant projects or achievements that showcase your ability to apply these technologies effectively.
Highlight Leadership Experience: Emphasise your experience in leading data science teams and projects. Provide examples of how you've influenced change within an organisation and driven successful outcomes through collaboration and strategic thinking.
How to prepare for a job interview at LexisNexis Intellectual Property Solutions
✨Showcase Your Technical Expertise
As a Data Science Director, you'll need to demonstrate your deep understanding of machine learning, natural language processing, and data mining. Be prepared to discuss specific projects where you've applied these skills, including the tools and frameworks you've used.
✨Align with Organisational Goals
It's crucial to show how your vision for data science aligns with the company's strategic objectives. Research LexisNexis Intellectual Property's goals and be ready to articulate how you can contribute to their mission of advancing innovation through data-driven decision-making.
✨Prepare for Leadership Questions
Expect questions about your experience leading teams and projects. Prepare examples that highlight your ability to influence change, manage diverse teams, and drive successful outcomes in data science initiatives.
✨Understand Regulatory Frameworks
Familiarise yourself with relevant regulations like GDPR and CCPA, as they are critical in AI implementation. Be ready to discuss how you would ensure compliance while leveraging data for business value.
