Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead Data Science and Machine Learning initiatives, driving strategic vision and collaboration.
- Company: LexisNexis is a digital pioneer providing legal and business information to enhance productivity and decision-making.
- Benefits: Enjoy flexible hours, generous holiday allowance, health benefits, 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, NLP, and data modeling required.
- Other info: Participate in initiatives supporting women in tech and community engagement.
The predicted salary is between 48000 - 72000 £ per year.
Data Science Director
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
Familiarize yourself with the latest trends in Data Science and Machine Learning. Being able to discuss recent advancements or tools during your interview will demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the industry, especially those who work at LexisNexis or similar companies. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations for the role.
✨Tip Number 3
Prepare to showcase your leadership experience in Data Science projects. Be ready to discuss specific examples where you've driven change or influenced decision-making within a team or organization.
✨Tip Number 4
Understand the regulatory frameworks related to AI, such as GDPR and CCPA. Being knowledgeable about these regulations will show that you are not only technically proficient but also aware of the ethical implications of AI in business.
We think you need these skills to ace Data Science Director
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Science Director position. Understand the key responsibilities and requirements, especially the emphasis on strategic vision and leadership in data science initiatives.
Highlight Relevant Experience: In your application, make sure to showcase your experience with Machine Learning, Natural Language Processing, and leading data science projects. Use specific examples that demonstrate your ability to drive change and deliver scalable solutions.
Align with Company Values: LexisNexis values diversity and inclusion, particularly in technology roles. If applicable, mention any relevant experiences or initiatives you have been involved in that support gender diversity or mentoring in tech.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for advancing innovation through data science. Make sure to connect your personal goals with the mission of LexisNexis Intellectual Property.
How to prepare for a job interview at LexisNexis Intellectual Property Solutions
✨Showcase Your Technical Expertise
As a Data Science Director, it's crucial 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 and the impact they had on the organization.
✨Align with Organizational Goals
Familiarize yourself with LexisNexis's mission and values. During the interview, articulate how your vision for data science aligns with their goals, particularly in enhancing decision-making and driving innovation within the company.
✨Emphasize Leadership Experience
Highlight your experience leading data science teams and projects. Discuss your approach to mentoring team members and fostering collaboration, as well as how you've successfully driven change across organizations.
✨Prepare for Strategic Discussions
Expect questions about your strategic thinking and vision for data science initiatives. Be ready to share your thoughts on emerging technologies in AI and analytics, and how you would recommend their application to create business value.
