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- Tasks: Lead Data Science initiatives and drive strategic vision across the organisation.
- Company: LexisNexis is a digital pioneer in legal and business information, enhancing productivity globally.
- Benefits: Enjoy flexible working hours, wellbeing initiatives, study assistance, and sabbaticals.
- Why this job: Join a team that values innovation and drives impactful change in the tech landscape.
- Qualifications: Degree in tech-related field or equivalent experience; expertise in ML and AI required.
- Other info: Be part of a collaborative leadership team focused on advancing humanity through data.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
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.
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 Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Director
✨Tip Number 1
Familiarise yourself with the latest trends in Data Science and Machine Learning. Being well-versed in current technologies and methodologies will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the industry, especially those who work at LexisNexis or similar companies. Attend relevant conferences, webinars, or meetups to build connections that could provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your leadership experiences in Data Science projects. Be ready to share specific examples of how you've driven change and influenced teams, as this role requires strong leadership skills.
✨Tip Number 4
Research LexisNexis's products and services thoroughly. Understanding their offerings and how data science plays a role in enhancing these services will help you articulate how you can contribute to their strategic vision.
We think you need these skills to ace Data Science Director
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Science Director position at LexisNexis Intellectual Property. Tailor your application to highlight your relevant experience in data science, machine learning, and leadership.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with machine learning, natural language processing, and leading data science projects. Use specific examples that demonstrate your ability to drive strategic initiatives and deliver scalable solutions.
Showcase Technical Skills: Clearly outline your technical skills related to data science and AI, such as proficiency in TensorFlow, Keras, or PyTorch. Mention any experience with cloud-based AI services and your understanding of regulatory frameworks like GDPR or CCPA.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also conveys your passion for innovation and how you can contribute to advancing humanity through data-driven decision-making at LexisNexis. Make it personal and engaging to stand out.
How to prepare for a job interview at LexisNexis Risk Solutions
✨Showcase Your Technical Expertise
As a Data Science Director, you'll need to demonstrate your deep understanding of Machine Learning and AI technologies. Be prepared to discuss specific projects where you've applied these skills, particularly in predictive and prescriptive modelling.
✨Align with Organisational Goals
Understand LexisNexis Intellectual Property's mission and how the Data Science team contributes to it. During the interview, articulate how your vision for data science aligns with their strategic objectives and how you can drive value for the organisation.
✨Prepare for Stakeholder Collaboration
Collaboration is key in this role. Be ready to share examples of how you've successfully worked with various stakeholders to prioritise projects and leverage data for business value. Highlight your communication skills and ability to influence others.
✨Discuss Risk Management in AI
Given the importance of compliance and risk assessment in AI implementation, prepare to discuss how you've managed risks related to bias, security, and regulatory frameworks in past projects. This will show your awareness of the broader implications of data science initiatives.
