Data Scientist, London ...

About us CF is a leading consultancy dedicated tomaking a lasting impact on health and healthcare. We work withleaders and frontline teams to improve health, transformhealthcare, embed life science innovation and boost growth throughinvestment. Our consultancy serves the entire healthcare sector,from healthcare systems and life sciences to health tech and sectorsuppliers. CF’s multi-disciplinary team provides end-to-endservices, spanning strategy, finance, performance, organisationalimprovement, data and digital. We also create optimal policyconditions for healthcare advancements through evidence-basedthought leadership, taking a proactive stance on key issues. As aninclusive and values-driven organisation, we are committed toexcellence and are honoured to have received multiple industryawards. With unmatched access to UK healthcare data and specialistdata science expertise, our consultants are a driving force fordelivering positive and meaningful change. About the role The DataScientist at CF is a key contributor within the Data Innovationteam, responsible for implementing data-driven solutions thatsupport our consulting services, internal operations, and thestrategic goals of our clients. You will work closely withconsultants, other data professionals, and external stakeholders todeliver impactful analytics and innovative tools that enhancedecision-making, improve outcomes, and drive efficiencies. You willbring technical expertise in data science and a collaborativemindset to help solve complex problems using data. You’ll beinvolved in the full project lifecycle — from understandingbusiness challenges, through to data exploration, modeldevelopment, and communication of insights. This role offers theopportunity to apply and grow your technical skills in asupportive, high-impact environment while contributing toreal-world change in health and life sciences. Being adaptable andopen to learning is essential, as is bringing curiosity, attentionto detail, and a collaborative approach to everything you do.Responsibilities The responsibilities and duties of the role willinclude, but are not limited to: Technical development anddeployment - Develop analytical models and tools using Python andstatistical or machine learning techniques to address businesschallenges. - Collaborate with consultants to understand clientneeds and design appropriate data solutions. - Create effectivedata visualisations and dashboards that communicate insightsclearly to non-technical audiences. - Contribute to the developmentand deployment of scalable data solutions, working alongside dataengineers as required. - Ensure solutions are robust,interpretable, and reproducible, following best practices in codingand model development. Data exploration and insight generation -Source, clean, and analyse data to extract actionable insights. -Work with healthcare and/or public sector data sets to identifypatterns, trends, and opportunities. - Summarise findings in clear,compelling ways that support strategic decision-making.Collaboration and Communication - Work closely withmultidisciplinary teams to integrate data science into widerproject work. - Present work to internal and external stakeholdersin a structured and confident way. - Contribute to a culture ofcontinuous learning and collaboration by sharing technicalknowledge and approaches with colleagues. Operational support -Ensure your work aligns with data governance standards andpolicies, including privacy and security requirements. - Followinternal processes for documentation, version control, andknowledge sharing. Development and support - Stay up to date withadvances in data science, analytics, and health sector trends. -Take ownership of your personal and professional development withsupport from mentors and peers. Requirements To be successful inthis role, you should have a combination of the following skillsand experiences: Mandatory - Experience developing and deployingmodels or tools using Python. - Proficiency with standardstatistical and machine learning techniques. - Strong understandingof data wrangling, feature engineering, and visualisationtechniques. - Experience with relational databases and proficiencyin SQL. - Good communication skills — able to explain technicalconcepts to non-technical audiences. - Ability to workcollaboratively in a cross-functional team. - Awareness of dataprivacy requirements and safe data handling practices. - Aproactive, solutions-focused mindset, with the ability to manageyour own workload and seek help when needed. Preferred - Experienceworking with healthcare or life sciences data. - Knowledge of UKhealthcare data sets, standards, or regulatory environments. -Familiarity with cloud platforms (e.g., Azure, AWS) andcontainerisation tools (e.g., Docker). - Exposure to naturallanguage processing or AI/ML techniques. - Experience contributingto technical aspects of proposals or client pitches. FlexibleWorking We embrace a hybrid working model, combining the best ofremote and in-person collaboration. Our DI team are together inperson at least four days a week with flexibility to be in theoffice between our core hours of 10-4pm. Our default approach is tobe in-person with our clients. In addition, up to four weeks a yeareach member of staff can work entirely virtually. Our Commitment toDiversity & Inclusion We are committed to building an inclusiveand supportive culture where diversity thrives, and all our peoplecan excel. We only recruit, promote, and reward our people based ontheir skills and contributions, without regard to gender, race,disability, religion, nationality, ethnicity, sexual orientation,age, marital status, or other characteristics. We are DisabilityConfident Accredited, and we want you to feel comfortable and ableto perform at your best during the recruitment process. If yourequire any reasonable adjustments, please let us know. Benefits -Holiday entitlement: 25 days/year for staff and 30 days/year forleadership increasing by 1 day for every year of service up to amaximum of 35 days of holiday per year. - We contribute 7% of yoursalary into your pension, while you contribute 3% (or more if youlike). - Access to a flexible benefits programme giving you thechance to increase pension contributions, gain access to a cashplan or benefit from a ClassPass subscription. - Annual leavepurchase: employees with less than 35 days annual leave entitlementare able to purchase additional annual leave days. - Incomeprotection: in the event of long-term incapacity and a qualifyingclaim, 75% of salary will be paid. - Enhanced sick pay benefitbeyond Statutory Sick Pay for up to a total of 12 weeks in any12-month period. - Life insurance covering four times your basicsalary in a tax-free lump sum payable to your beneficiaries in theevent of your death whilst in service. - Enhanced family leavepolicies: additional pay for parents who have a baby or adopt. -Access to an interest-free loan of up to £10,000. - Access to aninterest-free season ticket loan, repayable by 12 monthlyinstalments. - Workplace nursery scheme: access to a scheme to helpworking parents save tax and NI on the cost of the nursery care. -Flexible working policy: including the ability to work fullyremotely for up to 4 weeks a year. - An employee assistance andwellness program: including access to telephone counselling, lifecoaching, interactive tools online and digital content downloadablefrom Lifeworks. - Seasonal flu jabs: provided by Boots annually. -Eye care tests: vouchers and discounts at Vision Express. - Ride towork scheme, saving up to 42% on bikes and cycling accessories atEvans Cycles. - Membership to the Health Service Journal (HSJ).#J-18808-Ljbffr