{"id":3791807,"url":"https://alion.io/job/procdna-analytics-india-lead-data-scientist-procdna","title":"[India] Lead - Data Scientist - ProcDNA","company":{"id":4465837,"name":"Procdna Analytics","domain":"procdna.com","url":"https://alion.io/company/procdna-analytics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-05T07:00:56Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-08T19:01:56Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About ProcDNA\nProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 470+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle. Instead, you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?\nWhat are we looking for\nWe are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new capabilities.\nWhat you'll do:\nWork with clients to translate business questions into well-scoped data science problems, and define the approach, data requirements and success measures.\nDesign and oversee ML solutions across the pharma commercial lifecycle, and choose methods that fit the data and the decision they support.\nOwn client communication and relationships and provide thought leadership to support their business decisions.\nQuality-check the team's work and guide models to production through cross-team collaboration.\nLead project delivery across timelines, scope and team allocation, often across parallel engagements.\nMentor and manage a team of data scientists, and keep yourself and the team current with advancements in the field for collective growth.\nContribute to business development and internal capability building through proposals, POCs and reusable offerings, and help the practice grow\nMust have:\n5.5+ years of hands-on experience in data science and ML, with at least 2 years leading projects or teams in a pharma consulting or client-facing setting.\nA Bachelor's or Master's degree in engineering, statistics, mathematics or a relevant quantitative field.\nExperience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, CRM, DDD, Lab and other HCP, account or patient-level data.\nStrong depth in Statistics, supervised and unsupervised ML, Deep learning and GenAI concepts, along with experience in deploying models to production.\nStrong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure.\nA track record of owning client communication and explaining results to non-technical stakeholders.\nExperience in guiding and managing a team of data 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