At a Glance
- Tasks: Lead the AI data science function and drive impactful projects in a fast-growing legal services group.
- Company: Join a dynamic, PE-backed legal services group at the forefront of AI adoption.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Exciting opportunity to influence AI practices in a pioneering industry.
- Why this job: Be the first data scientist and shape how an entire group uses AI in legal workflows.
- Qualifications: 5+ years as a data scientist with experience in leading projects and building LLM solutions.
The predicted salary is between 51750 - 63250 £ per year.
- Lead AIData Scientist
- Buildthedatasciencefunctionata PE-backedlegalservicesgroupgoingall-inon AI
Ourclientisafast-growing, privateequity-backedlegalservicesgroup. They'vegrownthroughasuccessfulbuy-and-buildstrategyandnowbringtogetherseveralleadingregionallawfirmsacrossthe UK.
They'vejustsecuredboardapprovaltorolloutacentralised AIplatformacrossthewholegroup.
AIadoptionisalreadyhigh(around95%oflawyersuseit), butuseisn'tjoinedupacrossthefirms.
Thenextphaseismakingitstructured, measurableandscalable.
Thisisanewlycreatedroletoleaddatascienceacrossthatprogramme.
Whythisrole?
Foundingrole
you'llbethefirstdatascientistandwillhire, withroomtogrowthefunctionfromthere.
Modelsthatship
thisisa PE-backedbusinesswithamandatetodeliver, soyourworkgoesintoproductionratherthansittinginanotebook.
Realinfluence
you'llbeattheheartofthebusiness, shapinghowanentiregroupuses AI, notoneofhundredsofdatascientists.
Legalisaheadofthecurve
itsoneofthefewindustrieswhere AIhasmovedfromexperimenttoeverydaypractice. Whatyoudoherewillplayoutinothersectorslater, andyou'llhavedoneitfirst.
- Whatyou'lldo
- Workwithlawyers, subjectmatterexperts, businessanalystsandengineerstofindwhere AIandautomationcanhavethebiggestimpactinlegalworkflows.
- Prototype LLM-basedsolutionsandtestthemusinghuman-in-the-loopreviewand LLM-as-judgeevaluation, thenguidethesuccessfulonesintoproduction.
- Mapdataacrossmatter, client, document, time-recordingandbillingsystems, andhelpdefineatargetdatamodel.
- Setbaselinesandsuccessmetrics, andbuildbefore-and-afteranalysisanddashboardstoshowimpactonproductivity, quality, costandmargin.
- Monitormodelsand AI-enabledworkflowsinproductionforqualitydegradationanddrift.
- Whatwe'relookingfor
- 5+yearsasadatascientist, includingtimeleadingorsettingdirectionfor DSwork.
- Atrackrecordoftakingmodelsfromprototypeintoproductionandkeepingthemrunning.
- Hands-onexperiencebuildingandevaluating LLMsolutions, includingpromptdesign, RAGandstructuredevaluation. Exposuretoagents, MCPorcontextengineeringisaplus.
- Strong Pythonand SQL, plusexperienceonaclouddataplatform(Databricks, Azureor Snowflake).
- Experiencedefiningsuccessmetricsandshowingmeasurablebusinessimpact.
- Excellentstakeholderskills, withtheabilitytoturnworkflowsintotestable AIproposalsandexplaintrade-offstosenior, non-technicalaudiences.
- Experiencementoringormanagingothers, oraclearambitiontomoveintopeopleleadership.
- Nicetohave
- Professionalservices, legalorlegaltechexperience.
- Backgroundinaregulated, data-drivenindustrysuchasfinancialservicesorinsurance.
- PE-backedorinvestor-ownedenvironmentexperience.
- Familiaritywithlegalplatforms(Share Do, Clio, Aderant)orlegal AItools(Jylo, Lexis Protégé, Copilot).
- Awarenessofconfidentiality, privilegeanddata-protectionconsiderationswhenapplying AItoclientdata.
Thisisafull-timepositionwithahybridset-upfromtheircentral Londonoffice. Unfortunatelyvisasponsorshipandrelocationsupportarenotavailableforthisrole.
Lead AI Data Scientist in London employer: Xcede
As a Mobility Engineer/Consultant with us, you'll thrive in a dynamic remote work environment that champions innovation and collaboration. We offer competitive benefits, a strong focus on employee development, and the opportunity to work on cutting-edge enterprise solutions that make a real impact. Join our team and be part of a culture that values your expertise and encourages professional growth while ensuring you have the tools and support needed to excel in your role.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Xcede!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead AI Data Scientist at Xcede.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Xcede.
✨Apply Directly through Our Website
When you find a suitable opening like Lead AI Data Scientist at Xcede, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead AI Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Xcede, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Xcede. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Xcede
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Xcede!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
